Web Services

The Python Dashboard library offers data visualization options like graphs, maps, charts, and tables. Dashboards can be interactive by adding input controls like sliders, drop-down lists and buttons which can update the visualizations dynamically.   

These libraries often offer options for customizing the dashboard's layout, styles, and colors to match specific design requirements. Dashboards can be deployed locally or on the web using a cloud-based platform or a built-in server. These dashboards can integrate with different data sources like APIs, spreadsheets, and databases, making it easier to update the data in real-time. Different users can share and access it through password-protected logins or public URLs. These libraries can come with extensive documentation and community support making it easier to get started and troubleshoot any issues.   

Here is the list of the top 17 Python Dashboard libraries that are handpicked to help developers: 

redash: 

• Is an open source visualization and dashboard platform which will allow users to connect and visualize the data from different sources, like APIs, third-party services, and databases.  
• Is a web-based platform that can be accessed through a browser and is built using JavaScript and Python.  
• Offers a simple and intuitive interface to create and share data visualization, which can be customized to be suitable for individual requirements.   

plotly.py: 

• Is a Python Data visualization that can be used for creating interactive, publication-quality graphs and charts.   
• Allows the creation of interactive visualizations with hover, zoom, and click events, making it easy to explore and analyze data in real time.  
• Allows customization of each aspect of a chart, like fonts, titles, colors, and axis labels.   

flask_jsondash: 

• Is a flask extension to create dashboards and visualizations in Python designed to be customizable, allowing developers to create their own dashboard layouts and widgets.  
• Create custom widgets that interact with the data in real-time, like drop-down lists, buttons, and sliders.  
• Is a good choice for developers creating simple, lightweight dashboards, and visualizations in Python, without learning a more complex framework.   

wave: 

• Is a Python library to build and deploy interactive, web-based dashboards for data exploration and visualization.   
• Integrates seamlessly with H2O.ai's machine learning platform, allowing users to visualize and explore machine learning models.  
• Offers features for sharing and collaboration, like the ability to share dashboards with others and collaborate on projects. 

psdash: 

• Is a Python-based web dashboard for real-time monitoring of process statistics, system resource utilization, and other system-related information.   
• Can be used for identifying and troubleshooting issues, optimizing system performance, and performance bottlenecks.  
• Offers real-time updates of process and system statistics with the ability to refresh data at a customizable interval.   

panel: 

• Is a Python library to create interactive web dashboards and applications and offers a high-level API.  
• Supports different backends like Matplotlib, Holoviews, Bokeh, and Plotly, allowing developers to use their preferred plotting library.  
• Offers reactive widgets that can update in real-time based on user input, allowing interactive and dynamic applications to be created. 

stashboard: 

• Offers a user-friendly interface to monitor system health, uptime, and other key metrics, which can be used to notify users of system issues in real-time.  
• Can be used for monitoring APIs, web services, and other software systems with support for SOAP, REST, and other protocols.  
• Offers custom metrics support, allowing users to monitor system performance using their analytics tools and metrics.   

pygraphistry: 

• Is a Python-based library to visualize large and complex datasets in interactive and visually appealing methods. 
• Offers a graph-based visualization of data which is useful for visualizing connections and relationships between data points.  
• Can be deployed to the cloud, allowing users to access their visualizations from anywhere.   

grafanalib: 

• Is a Python library for programmatically creating dashboards in Grafana, an open source platform for monitoring and analytics.   
• Allows developers to create and manage dashboards using Python code which can be version-controlled and automated.  
• Supports macros and templates, allowing developers to create reusable components for their dashboards. 

flow-dashboard: 

• Is designed to be used with the Flow framework, a web-based platform to build and deploy machine learning models.  
• Can display data from various sources like APIs, streaming services, and databases.  
• Offers built-in user management features allowing administrators to control access to data and dashboards. 

horizon: 

• Is a Python library to build real-time monitoring systems and scalable dashboards.  
• Offers real-time data processing capabilities, allowing users to filter, collect, and process data in real-time.   
• Is designed to be highly scalable with support for distributed processing and horizontal scaling.   

graph-explorer: 

• Is a Python-based library to build a dashboard to display data from different sources, like Prometheus, Elasticsearch, and Graphite.  
• Allows users to create customizable dashboards with the support of various data sources and visualizations.  
• Offers advanced querying capabilities, allowing users to filter and search data.   

django-controlcenter: 

• Is a Python-based library to build reusable and customizable dashboards in Django-based web applications.  
• Allows developers to create dashboards that display data from different sources like APIs, Django models, and other data sources.  
• Offers integration with Django models, allowing developers to display data from their database in their dashboards.   

changes: 

• Is a Python library that offers an easy-to-use interface to monitor file system events like creation, editing, and deletion.  
• Allows developers to create applications that monitor directories and respond to real-time changes.  
• Is a useful tool for creating applications that can monitor file system events in real-time with various integrations and features, making it suited for various use cases. 

bowtie: 

• Is a bioinformatics software tool to align short DNA sequences to large reference genomes.   
• Allows developers to easily create dashboards that display data from different sources like SQL databases, APIs, and CSV files.  
• Offers support for interactive visualizations, like graphs, maps, and charts.   

socialsentiment: 

• Is designed for sentiment analysis of social media data like comments or tweets on online platforms. 
• Uses machine learning algorithms for classifying text as negative, positive, and neutral based on the sentiment expressed in the text. 
• Offers a pre-trained sentiment analysis model which can be trained on a larger corpus of social media data.  

dashboard-api-python: 

• Is a Python library for the Google Analytics Dashboard API which will allow developers to access and retrieve Google Analytics data programmatically using Python. 
• Is designed to make it easier for developers to question and manipulate data in Google Analytics without requiring the API details or how to construct API calls. 
• Includes creating and updating dashboards, managing data sources, and functions for querying data.  

Node.js is a flexible and lightweight platform that allows developers to build fast and scalable applications that work brilliantly in real-time. Its event-driven, non-blocking I/O model makes it highly efficient for data-intensive applications that need to run across multiple devices. Ecommerce applications often run on Node payment processing software components. These components work towards ensuring the integration of payment gateways, thereby enabling multiple payment options and risk-free authentication. Some of these payment processing platforms may include PayPal, Apple Pay, Google Pay, UnionPay, and similar applications. JavaScript’s dynamic and flexible environment ensures that every payment system runs smoothly and efficiently in real-time. Here are our picks of the 15 best JavaScript Node.js payment processing libraries that are open source in 2022. expressCart - fully functioning Node.js shopping cart; stripe-node - Node.js library for the Stripe API; stripe-billing-typographic - Typographic is a complete, full-stack example of a Stripe Billing integration.

Most Python Discord API libraries offer various features, making it easier to develop Discord bots and interact with the Discord API. Most Python Discord API libraries offer an effortless way of creating and managing bots on the Discord Platform. These libraries often offer functionality for handling events like a user joining a server, a reaction added to a message, or a message received.  

These libraries offer effortless ways to handle commands from the Discord server users. It can handle audio and voice functionalities, like streaming video, joining voice channels, and more. These support Discord’s new slash commands that offer an easy-to-use interface for users to interact with bots. It has a built-in caching mechanism for reducing the number of API requests to Discord and improving its performance. It offers methods for easily making requests to the Discord API and handling responses. It supports Discord webhooks by letting bots send messages and interact with Discord outside a server.  

Here is the list of the top 8 Python Discord API libraries that are handpicked to help developers: 

discord.py: 

• Is an easy-to-use, asynchronous-ready, modern, and feature-rich API wrapper for Discord written in Python.  
• Offers a simple and intuitive API to build Discord bots, making it accessible for developers of all skill sets.  
• Has robust support for audio and voice, like streaming audio, joining voice channels, and many more.  

modmail: 

• Is a Python library to build a moderation system within Discord servers. 
• Allows users to contact server administration and moderators privately without having to share their messages publicly in a channel.  
• Tracks user data like their conversation and messages history, making it easier for moderators to handle ongoing issues. 

nextcord: 

• Is a Python library to build Discord bots that are forked from the original discord.py.  
• Offers similar functionality as discord.py with certain improvements and changes.  
• Has support for Discord’s new slash commands that offers an easy-to-use for users to interact with bots. 

hikari: 

• Is a Python library to build Discord bots that aim to offer a modern and efficient API compared to other Python Discord libraries. 
• Is designed with modern Python features like type hints and async/await. 
• Is optimized for performance and uses asyncio for handling requests and events. 

interactions.py: 

• Is a Python library that is a highly extensible, complete feature, and easy-to-use bot framework for Discord.  
• Our HTTP client implements preemptive rate limit avoidance, so your bot is guaranteed never to hit HTTP 429.  
• Each HTTP request and Gateway event made is cached if needed, so you never have to save information yourself. 

disnake: 

• Is a fast, efficient, and modern Python library to build Discord bots, a fork of the discord.py library with many improvements.  
• Is optimized for performance and uses asyncio to handle requests and events, making it one of the fastest Discord libraries.  
• Discord’s components are supported in disnake, allowing more engaging and interactive bot experiences. 

jishaku: 

• Is a debugging and testing extension for Discord.py, a popular Python library for creating Discord bots. 
• Offers various utilities for debugging and testing Discord.py applications, like an interactive shell for running code snippets and functionality and commands for inspecting the current state of the server and bot.  
• Advanced error handling and reports with detailed information about the cause of errors and how to fix them. 

Raid-Toolbox: 

• A Python library is a big toolkit of raiding, token management, and spamming tools for Discord.  
• Includes custom themes or skins, token checker, message spammer, and mass mentioner. 
• Also includes DM spammer, Group DM spammer, image spammer, embed spammer, and Ascii spammer. 

Here are the best open-source PHP routing libraries for your applications. You can use these tools to determine the location of website visitors based on their IP address or other location data.

These libraries provide a range of functionalities such as geocoding, reverse geocoding, distance calculations, and mapping. They allow developers to determine website visitors' country, city, region, and latitude/longitude based on their IP address. Google Maps Geolocation API is one of the most widely used PHP geolocation libraries. It provides a simple and reliable way to determine the location of website visitors using data from Google Maps. It allows developers to get the latitude and longitude of a location and its estimated accuracy. These libraries enable developers to provide a more personalized user experience by showing relevant content based on the location of website visitors. They also help you to create custom maps and visualizations based on geospatial data and enable location-based advertising and marketing strategies.

PHP Geolocation Libraries are essential tools for web developers who want to create location-based web applications. We have handpicked the top and trending open-source PHP routing libraries for your next application development project:

GeoIP2 PHP:

• Used in Web Services, REST applications, etc.
• Provides an easy-to-use API for working with MaxMind's GeoIP2 and GeoLite2 databases.
• Allows developers to determine the location of website visitors based on their IP address.

Google Maps Geolocation API:

• Used to determine the location of website visitors using data from Google Maps.
• Allows developers to get the latitude and longitude of a location.
• Also provides the estimated accuracy of the location.

Leaflet:

• Used to handle dynamic map configurations working in a PHP context.
• It is lightweight and easy to use for building mobile-friendly interactive maps.
• Supports a wide range of map providers.

GeoPHP:

• Used in Geo, Map applications, etc.
• It’s a native PHP library for geometry operations and provides basic geospatial functionality.
• Features include point-in-polygon testing, distance calculations, and geometry simplification.

Geocoder:

• Used in Utilities, Command Line Interface, Laravel applications, etc.
• Provides geocoding and reverse geocoding services.
• Supports data from various providers such as Google Maps, OpenStreetMap, and Bing Maps.

IP2Location:

• Used in Networking, TCP applications, etc.
• Provides fast lookup and geolocation services based on IP address data.
• Includes a database of IP address ranges and location data for various countries and regions.

SmartyStreets:

• Used in Web Services, REST applications, etc.
• Provides address validation and geocoding services.
• Uses data from various providers such as Google Maps, OpenStreetMap, and Bing Maps.

Geotools:

• Used in Manufacturing, Utilities, Aerospace, Defense, Geo, Map applications, etc.
• Supports accept almost kinds of WGS84 geographic coordinates.
• Built on top Geocoder and React libraries.

Location:

• Used in Networking, TCP applications, etc.
• Helps retrieve a user's location from their IP address using various services.
• Works with PHP >= 7.3 and Laravel >= 5.0.

Judge Yvonne Gonzalez Rogers ordered that iOS apps must be allowed to support non Apple payment options in the Epic v. Apple case. In this case, Apple also scored a partial victory as the judge stopped short of calling it a monopoly. The judge also ordered Epic Games to pay Apple 30% of its revenue through the direct payment system. Epic is fighting a similar lawsuit against Google. Countries like South Korea have passed laws requiring Apple and Google to offer alternative payment systems to their users in the country. While the jury is still out on the Epic v. Apple case, it brings out two aspects. Is what is often referred to by developers as the "Apple Tax" of 30% indeed justified? For this reason, Epic launched the Epic Games Store to demonstrate that they could operate at a lower revenue cut of 12%. The second aspect is platform and payments interoperability. When platform interoperability becomes mandated or a global best practice, developers should be ready to bring in payment gateways of their choice. The kandi kit for App Store Payment Alternatives showcases the popular open source payment gateways such as Omnipay, Active Merchant, and CI Merchant and libraries available to connect with leading payment platforms such as Stripe, Braintree, and Razorpay.

Omnipay

Core libraries and samples from Omnipay, a framework agnostic, multi-gateway payment processing library for PHP.

Active Merchant

Libraries on Active Merchant, a simple payment abstraction library extracted from Shopify.

CI Merchant

Though no longer actively supported use the library to build and support your own gateway. If you are not looking to build but to use, then leverage other frameworks.

Braintree

Libraries for Braintree integration.

Razorpay

Libraries for Razorpay integration.

Stripe

Libraries for Stripe integration.

Web Proxy libraries are a way to access the contents of a website without actually accessing the website itself. The web proxy acts as an intermediary between your computer and the website, fetching the content for you and displaying it on your screen. Caddy is a simple and lightweight proxy server for the browser. Betwixt is a high-performance proxy server that supports both HTTP and HTTPS protocols. It is written in JavaScript and provides a secure connection between your application and the client. Mockserver is a mock web server for testing HTTP requests in unit tests with Node.js and other evented I/O based servers such as Twisted and Gevent. Some of the most widely used open-source Web Proxy libraries among developers include

HTTP Security libraries allow you to set HTTP headers on your API requests that help make your app more secure. These headers include things like CORS and authentication tokens. You can also use them to detect things like CSRF attacks. The Helmet module provides a handy utility that allows you to protect your Express apps from many common security problems. The Helmet module will automatically configure many of the common HTTP headers that are important for securing Express apps. Go-http-tunnel is a Go package that provides a middleware for transparently tunneling and/or proxying arbitrary TCP connections over HTTP. Go-http-tunnel is most commonly used to tunnel SSH connections, but can be used to create arbitrary tunnels between your network and the public internet. Many developers depend on the following open source HTTP Security libraries

Fetching JSON array data from an API using React can be used in various contexts where you need to retrieve and display data from an external API in a React application. Some examples might include the following:  

• a dashboard or reporting tool that makes use of a REST API to present data  
• An application for data visualization or charting that shows current or past data  
• An application for social networking or messaging that shows user data  
• a retail or e-commerce website that displays product information or inventory from an API  

You can use the fetch function, a built-in function for making HTTP queries, or a library like Axios to complete the request to fetch data from a JSON array from an API in a React application.  

This pre-written code snippet will show you how to fetch data from a JSON file easily and consume it in your React project.  

Steps-   

• Declare a state in React to hold API data  
• To retrieve API data and store the result, use a JS function  
• On page load, add useEffect to the fetch API  

Here's an example of how you might implement this: 

Fig 1: Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using React and Axios library.

Instructions

Follow the steps carefully to get the output easily.

1. Install the Node.js and React on your IDE(preferable Visual Studio Code).
2. Create React Application using npx create-react-app foldername.
3. cd foldername.
4. Install npm install axios.
5. Open the folder in IDE.
6. Copy the code using "copy" button above and paste it in app.js file(remove the earlier code from app.js).
7. Import libraries.
8. Open the terminal from IDE.
9. npm start to run the file.

You can also refer this url 'DEMO' for getting the above output.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'display data from jsonplaceholder api using react'in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Visual Studio Code 1.73.1.
2. The solution is tested on node v18.12.1 and npm v8.19.2.
3. React version-18.2.0.
4. Axios library version-0.26.1.

Using this solution, we are able to fetch Json array data from API using React with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to fetch Json array data from API using React.

Dependent Library

You can also search for any libraries on kandi like 'react' and 'axios'.

Support

1. For any support on kandi solution kits, please use the chat
2. For further learning resources, visit the Open Weaver Community learning page.

Here are some famous NodeJs Telegram Bot Libraries. Some of the use cases of NodeJs Telegram Bot Libraries include automating customer service, creating interactive experiences, automating workflow, and creating analytics dashboards.

Node.js Telegram Bot Libraries are libraries written in JavaScript that can be used to create custom Telegram bots. They provide a convenient way to write code that interacts with the Telegram Bot API, allowing developers to quickly create and deploy bots that can listen for commands, respond to messages, and perform other tasks.

Let us look at the libraries in detail below.

node-telegram-bot-api

• Has built-in support for multiple programming languages.
• Comprehensive API documentation.
• Automated message queueing system.

nlp.js

• Offers an advanced Natural Language Processing (NLP) engine.
• Highly modular and customizable.
• Built on the Node.js platform, so it is lightweight and fast.

telebot 

• Provides an all-in-one solution for creating, managing, and deploying Telegram bots. 
• Supports inline query and inline keyboard. 
• Provides a unified API for all Telegram API endpoints. 

LiveBot 

• Offers a powerful webhook system. 
• Has a built-in analytics system. 
• Allows developers to easily deploy and manage bots on popular hosting services. 

telegram-bot-api 

• You do not need to know any programming language to get started. 
• Makes it easier to build bots that can react quickly to incoming messages. 
• Wide range of API methods for creating bots and interacting with users. 

telegram-client 

• You can quickly get a bot up and running with minimal effort. 
• With a built-in command processor. 
• Used to send out mass messages or schedule messages to be sent at specific times.

teleapi 

• Provides an easy way to create and manage multiple bots using a single interface. 
• Offers an intuitive GUI for quickly setting up your bots and customizing their behavior. 
• Lightweight and simple library that lets you quickly and easily build bots. 

BocchiBot 

• Modern and extendable architecture. 
• Extensive library of custom plugins. 
• Integrated analytics system. 

instauto 

• Includes an easy-to-use query builder. 
• Provides an easy and secure authentication process for users. 
• Provides unique methods such as the getStarted method which can be used to quickly set up the bot and get started. 

mtproto-core 

• Supports the full MTProto protocol, which is a binary protocol developed by Telegram. 
• Designed for both client and server sides, allowing developers to use the same library for both sides of the connection. 
• Designed to be highly performant, allowing for fast and efficient communication between the bot and Telegram servers. 

Here are some of the famous Go Telegram Bot Libraries. These Libraries are used for Building custom bots for customer service, Developing bots for e-commerce and Building bots for entertainment.

Go Telegram Bot Libraries are libraries written in the programming language Go which provide an interface to the Telegram Bot API. They allow developers to create and interact with Telegram bots in their own applications. They provide a range of features such as easy setup, custom commands, webhooks, and more.

Let us have a look at these libraries in detail below.

Telegram

• Provides a highly customizable environment to create bots.
• Provides a Botstore, which is a library of bots created by other developers.
• Provides excellent security for bots, with end-to-end encryption and access control.

telegram-bot-api

• Provides webhooks and inline keyboards for interaction with users.
• Supports deep linking to external websites and content within the Telegram app.
• Offers a unique set of features such as group chats, channels, and sticker sets.

TelegramBots

• Offers advanced features such as game playing, natural language processing, and automated responses.
• Supports webhooks which allow you to receive messages and updates from other services and systems.
• Allows you to customize your bots with a variety of useful features such as message templates

Telebot

• Offers secure bot creation and hosting with built-in features to protect user data.
• Designed to deliver reliable performance even when handling large volumes of requests.
• Offers advanced features such as inline keyboards, custom commands and user profiles.

telegram-bot-sdk

• Supports multiple programming languages, such as JavaScript, Python, and Java.
• Included in Telegram-bot-sdk is well-documented and easy to understand.
• Enables developers to quickly create and customize powerful bots to fit their needs.

go-tgbot

• Provides a powerful command line tool that helps developers to quickly create and manage their Telegram bots.
• Supports all the standard Telegram API features and adds several unique features such as custom keyboards, inline bot queries and more.
• Supports a wide range of databases, including MongoDB, Redis, BoltDB and more.

telegram-bot-go

• Quickly build and deploy a Telegram bot with minimal effort.
• Comes with comprehensive documentation and tutorials.
• Offers advanced features such as custom commands, inline commands, and support for multiple languages.

gotelebot

• Provides a convenient way to create custom commands for your bot.
• Supports webhooks, allowing you to create more interactive bots quickly and easily.
• Support for all the major Telegram Bot API features and extras.

The Facebook API enables developers to create apps that interact with the Facebook platform and access its data, such as user profiles, posts, and comments. By leveraging these libraries, users can improve their Facebook marketing strategies, collect data for research purposes, and engage with their audience more effectively. 

These libraries are valuable for developers, marketers, and companies that wish to create and deploy Facebook API apps for various objectives such as social media monitoring, influencer marketing, and audience analysis. Users may access and analyze Facebook data in real-time by employing Python Facebook API modules, which can enhance their marketing tactics and audience engagement.  

Here is a list of the 8 Best Python Facebook API Libraries: 

Facebook-SDK 

• Helps in accessing Facebook data, such as user profiles and posts. 
• Useful in automating Facebook interactions, such as posting and commenting. 
• Helps in managing Facebook ads and campaigns. 
• Useful in building custom Facebook applications. 

statsforecast

• Helps in forecasting time series data, such as Facebook metrics. 
• Useful in predicting future trends in Facebook data. 
• Helps in generating statistical models of Facebook data. 
• Useful in building custom Facebook analytics tools. 

Fbchat 

• Helps in automating Facebook Messenger interactions, such as sending and receiving messages. 
• Useful in building custom Facebook chatbots. 
• Helps in managing Facebook groups and pages. 
• Useful in automating Facebook Messenger marketing campaigns. 

Facebook Business SDK 

• Helps in accessing Facebook data, such as user profiles and posts. 
• Useful in automating Facebook interactions, such as posting and commenting. 
• Helps in managing Facebook ads and campaigns. 
• Useful in building custom Facebook applications. 

Facepy 

• Helps in accessing Facebook data, such as user profiles and posts. 
• Useful in automating Facebook interactions, such as posting and commenting. 
• Helps in managing Facebook ads and campaigns. 
• Useful in building custom Facebook applications. 

PyFacebook 

• Helps in accessing Facebook data, such as user profiles and posts. 
• Useful in automating Facebook interactions, such as posting and commenting. 
• Helps in managing Facebook ads and campaigns. 
• Useful in building custom Facebook applications. 

Facepager 

• Helps in accessing Facebook data, such as user profiles and posts. 
• Useful in automating Facebook interactions, such as posting and commenting. 
• Helps in managing Facebook ads and campaigns. 
• Useful in building custom Facebook applications. 

PySocialWatcher 

• Helps in monitoring Facebook user activity, such as posts and comments. 
• Useful in tracking changes to Facebook user profiles. 
• Helps in collecting Facebook data for research purposes. 
• Useful in building custom Facebook monitoring tools. 

The Instagram API enables developers to create apps that interact with the Instagram platform and access data such as user profiles, media, and comments. By leveraging these libraries, users can streamline their Instagram marketing strategies, collect data for research purposes, and improve their engagement with their audience. 

These libraries benefit developers, marketers, and businesses who wish to create and deploy Instagram API applications for various objectives such as social media monitoring, influencer marketing, and audience analysis. Users can access and analyze Instagram data in real time by employing Python Instagram API modules, which can help improve marketing strategies and interaction with their audience. 

Here is the list of 8 Best Python Instagram API Libraries: 

Instapy 

• Helps in automating Instagram interactions, such as liking and commenting. 
• Useful in scheduling Instagram posts and stories. 
• Helps in generating statistics about Instagram accounts. 
• Useful in building Instagram chatbots. 

Instaloader 

• Helps in downloading Instagram media and metadata. 
• Useful in archiving Instagram content for later use. 
• Helps in creating backups of Instagram profiles. 
• Useful in collecting Instagram data for research purposes. 

python-instagram 

• Helps in accessing Instagram data, such as user profiles and media. 
• Useful in automating Instagram interactions, such as following and unfollowing users. 
• Helps in posting photos and videos to Instagram. 
• Useful in managing Instagram ads and campaigns. 

InstaLooter 

• Helps in downloading Instagram media and metadata. 
• Useful in archiving Instagram content for later use. 
• Helps in creating backups of Instagram profiles. 
• Useful in collecting Instagram data for research purposes. 

InstaScrape 

• Helps in scraping Instagram data, such as user profiles and media. 
• Useful in extracting insights about Instagram audiences. 
• Helps in collecting Instagram data for research purposes. 
• Useful in building custom Instagram crawlers. 

Instabot 

• Helps in automating Instagram interactions, such as liking, commenting, and following users. 
• Useful in creating custom Instagram bots for specific purposes. 
• Helps in building Instagram chatbots. 
• Useful in scheduling Instagram posts and stories. 

InstaLivecli

• Helps in streaming live videos from Instagram. 
• Useful in creating custom Instagram live stream tools. 
• Helps in monitoring live events on Instagram. 
• Useful in building Instagram live chatbots. 

BetterCall 

• Helps in automating Instagram interactions with a graphical user interface. 
• Useful in scheduling Instagram posts and stories. 
• Helps in generating statistics about Instagram accounts. 
• Useful in building Instagram chatbots with a GUI interface. 

Here are some famous C# Telegram Bot Libraries. Some of the use cases of C# Telegram Bot Libraries include automated Customer Support, News Aggregator, Online Ordering, Scheduling Appointments. 

C# telegram bot libraries are collections of code that allow developers to create Telegram bots using the C# programming language. These libraries provide an API for developers to access the Telegram Bot API and create their own custom bots with a range of features. They also provide tools for creating interactive user experiences. 

Let us look at the libraries in detail below. 

Telegram.Bot 

• Highly customizable and allows developers to tailor their bots for performing specific tasks. 
• Provides advanced features such as message scheduling and inline keyboards. 
• Built with security in mind, ensuring that your bots are secure and protected. 

TelegramBotClients 

• Built-in support for the Telegram Bot API. 
• Provide support for different types of bots. 
• Highly extensible, allowing you to add your own custom features to your bot. 

NetTelegramBoApi 

• Provides an easy way to integrate with third-party services. 
• Supports Webhooks, allowing developers to easily receive updates from Telegram Bot API. 
• Offers support for uploading and downloading files. 

pmcenter  

• Support for dynamic message creation and message modification.  
• Support for custom commands and automated responses. 
• Advanced analytics to track conversations and user interactions.

CryptoGramBot 

• Uses an asynchronous event-driven programming model to ensure that the bot responds quickly and efficiently to user interactions. 
• Supports a wide range of languages, including C#, VB.NET, and F#. 
• Provides built-in integration with Microsoft Azure and other cloud services. 

telegram-bot-groupagree 

• Advanced chatbot features allow it to understand natural language input, leading to more accurate and efficient responses. 
• Built-in support for payment systems, enabling easy monetization of bots. 
• Uses machine learning algorithms to improve the accuracy of its responses. 

Telegram.Bot.Framework 

• Allows advanced message routing. 
• Contains a rich set of features such as inline queries, location tracking, and message editing. 
• Provides secure authentication, allowing users to connect with your bot without having to share their login details. 

Telegram.BotAPI 

• Provides an easy-to-use interface for developers to create bots. 
• Supports asynchronous API calls, allowing developers to send multiple messages in one go. 
• Allows developers to build bots that support a wide range of messaging capabilities. 

Telebot 

• Only C# Telegram Bot library that supports .NET Standard 2.0, making it cross-platform compatible. 
• Easy to integrate bot logic into existing applications. 
• Provides a powerful and intuitive way to create custom commands and actions that can be triggered from anywhere within the bot. 

Here are some of the Java Telegram Bot Libraries. Some of Java Telegram Bot Libraries use cases include Automating customer service, monitoring social media, Building Chatbots, automating marketing campaigns, and sending notifications. 

Java telegram bot libraries are collections of code that can be used to create a Telegram bot using the Java programming language. They provide the tools and functions to make the development process easier, such as API wrappers, auto-reply features, and webhooks. 

Let us look at the libraries in detail below. 

java-telegram-bot-api 

• Provides an easy-to-use interface to create and manage bots. 
• Supports multiple platforms. 
• Offers an intuitive API.  

TelegramBots 

• Supports both synchronous and asynchronous operations.  
• Has features such as a built-in webhook server and custom command execution. 
• Open-source and well-documented. 

TelegramBotsExample 

• Offers an extensive library of features and functions. 
• Support for inline queries, custom keyboards, message editing and more.  
• Provides a simple yet powerful webhook-based API for creating bots. 

JTelegramBot 

• Designed with security in mind, preventing malicious bots from accessing your system.  
• Designed to be easily scalable, allowing you to create bots that can handle large amounts of traffic.  
• Integrates with existing systems, such as databases and messaging systems. 

telegram-bot 

• Faster and more efficient than other libraries, as it is designed specifically for bots.  
• Offers a rich set of features, including inline bots, custom keyboards, and more. 
• Allows developers to easily create sophisticated bots without writing a lot of code.  

telegramBotUtilities  

• Built on modern and clean architecture that makes it easy to extend and maintain. 
• Provides APIs for creating custom commands and handling user input. 
• Supports various commands, including basic commands, inline commands, and callback commands. 

tg-bot-api 

• Has built-in support for inline queries 
• Supports sending and receiving multimedia messages and files. 
• Allows developers to create custom menus and keyboards easily. 

tgbots-module 

• Supports custom plugins and integration with third-party services. 
• Supports the Bot API and the native Telegram API.  
• Integrates with other libraries such as Spring, Guice, and JPA.  

TeleBotConsole 

• Provides rich features to help developers create powerful and efficient bots. 
• Provides easy-to-use methods for creating and managing bots. 
• Offers an extensive set of plugins and integrations. 

Java API gateway is software that accepts an app's user request, diverts it to other backend services, gathers the necessary info, and supplies it to the application user in a single, combined package. It also provides analytics, threat protection layers, and other application security. Java API gateway is a common entry point for all API calls that come into an app, whether hosted on-premises or in the cloud. It receives remote requests and returns the requested data. Consider the web application of a restaurant. Even though all that information is gathered and delivered from various backend microservices or APIs, a user can enter a single request and easily access the: 

• Restaurant's menu,
• Diners' photos
• Reviews
• Payment service, and
• A map to check its location using a laptop or cellphone. 

An API gateway receives and processes their request. Developers use microservices in DevOps organizations to build and deploy apps in a fast-paced, iterative manner. API gateways provide three key services between a user and a collection of microservices: request routing, API composition, and protocol translation. In addition to simply servicing requests, an API gateway adds value by making data available in a format appropriate for the requestor's technology. For example, someone using a web browser to request information about a retail store receives far more information than someone using a mobile phone to request and view the same store's data. 

APIs are one of the most standard ways for microservices to communicate with one another. As integration and interconnectivity gain importance, APIs are becoming more and more crucial daily for software developers. Furthermore, APIs are used to provision infrastructure in modern cloud development, including the serverless model, and can use Java API gateway to deploy and manage serverless functions. 

Several Java API libraries help engineers to reuse code for networking other functionalities of the applications. Some examples of standard libraries are- scalecube-services, service-proxy, kong-java-client, aws-gateway-executor, gateleen, handyman, API-gateway, product-microgateway, shenyu, ship-gate, among others. 

Check out the below list to find the best top 10 Java API gateway libraries for your application development: 

A JavaScript documentation generator library helps web developers create comprehensive and organized documentation. It can help developers keep track of their code and its dependencies. It provides helpful examples and explanations of the code within the documentation. Documentation generated by this library can help developers understand their code better. It makes it easier for others to use and modify it. Additionally, the documentation can make the code easier to find and read. It can help make it easier to debug any errors that may arise.  

JSDoc is free software in JavaScript documentation generator libraries. It is an open-source project. It supports JSDoc syntax, JSDoc tags, and JSDoc comments. It helps generate documentation output from source code and markdown files. It can document Visual Basic, Code blocks, Type Definitions, and Generated Output. It documents React components, NPM modules, various plugins, and literate programming. JSDoc's default template is configurable. We can configure its parser to process names, static websites, comments, and Webpack. Other free software in JavaScript documentation generator libraries includes Sphinx, GitBook, and CoffeeScript. They also offer various plugins and templates to customize the generated output. We can use it for programming, creating websites, and working with modules and plugins.  

JSDoc uses a parser to scan source files for comments written in a special syntax, such as JSDoc comments. CoffeeScript is a programming language. It compiles JavaScript, and it will support some JavaScript documentation generator libraries. Sphinx is a popular documentation generator written that can generate documentation for projects. It can generate type definitions, such as those for GraphQL schemas. GraphQL is a query language we can use for API development in JavaScript. It allows developers to make efficient queries that return only the data they need from an API. GitBook is a free and open-source static site generator powered by Vue. It uses Markdown syntax to create documentation files. It offers a template to create documentation for projects, components, and modules. It supports various plugins and provides a parser to generate the documentation output.  

Different types of documentation that a JavaScript documentation generator library can generate:  

1. API Documentation:  

A JavaScript documentation generator library can generate full API documentation. It provides an overview of a given library's functions, objects, and classes. Also, it can provide information about each function, including arguments and return values.  

2. Tutorials:  

A JavaScript documentation generator library can generate tutorials. It provides step-by-step instructions on using a library. This can be useful for beginners starting with a library or developers needing a refresher.  

3. Examples:  

JavaScript documentation generator libraries can also generate code examples for various use cases. These examples demonstrate how we can use a library. It provides a starting point for developers looking to use the library.  

4. Reference Documentation:  

Reference documentation provides detailed information about a library's objects, functions, and classes. It includes information about arguments, return values, and more. This can be helpful for developers who need an overview of a library's features.  

5. User Guides:  

User guides provide an overview of a library and guidance on how to use it. They can also provide tips and best practices for getting the most out of a library. User guides can be especially helpful for newcomers needing a high-level library introduction.  

Different features available in a JavaScript documentation generator library: 

1. Generating documentation from source code comments and other annotations.  

2. Automatically generated class diagrams and other diagrams from source code.  

3. Automatically generating API reference documentation from source code.  

4. Generating interactive examples from source code.  

5. Generating links to external resources such as tutorials, manuals, and blog posts.  

6. Generating searchable documentation with built-in search capabilities.  

7. Generating documentation in many formats like HTML, PDF, and Markdown.  

8. Generating customization options to align documentation with branding and design guidelines.  

9. Supporting many programming languages such as JavaScript, TypeScript, Java, and Python.  

10. Generating documentation for many versions of source code.  

11. Generating Javadoc for your code.  

Tips for using a JavaScript documentation generator library:  

1. Read the documentation to understand how the library works and its features.  

2. Make sure to use the correct syntax and test the library by writing small snippets of code  

3. Use version controls such as Git to track changes and keep backups of your code.  

4. Take advantage of the library's features, such as markdown support or code generation.  

5. Use a linter to ensure your code meets standards and look for possible errors. 

6. Customize the output of the documentation generator library. It will do so by changing the styling, adding comments, and adjusting formatting.  

7. Generate documentation for your code to create an HTML or Markdown page you have written.  

Key Notes  

1. Become familiar with the library.  

2. Make sure you understand the purpose of the library.  

3. Plan your documentation. 

4. Start generating your documentation:  

Your library will provide commands that you can use to generate your documentation. Ensure that you read the documentation for the library to understand how to use the commands. It will also help them understand what arguments to pass to them.  

5. Test your documentation  

6. Publish your documentation  

A block comment in JavaScript is a comment that spans many lines. We write with two forward slashes (//) followed by an asterisk (*) and then the comment. The asterisk is then followed by an asterisk and two forward slashes (*/).  

A JavaScript documentation generator library is a valuable tool for web developers. The library can generate a document structure. It includes a list of classes, functions, variables, and a description for each item. It also provides code formatting, syntax highlighting, and comment formatting. The library can generate an HTML page with the generated documentation. It allows developers to share their work with others. This library can help save time, improve code quality, and increase efficiency.  

Let's look at each library in detail. The links below are to access package commands, installation notes, and code snippets.  

swagger-ui  

• Provides a graphical user interface to help developers create and document APIs.  
• Allows developers to test their APIs in real time.  
• This open-source project is maintained and updated with new features and bug fixes.  

docsify  

• It is built on the idea of using Markdown for writing your documentation.  
• It is designed to be extensible. It allows one to add custom plugins to customize documentation.  
• It provides an intuitive, user-friendly interface that makes writing and navigating easy.  

jsdoc  

• Supports extra tags such as @param and @returns to document the code better.  
• Provides a set of templates for creating custom documentation.  
• Its large user base makes it easy to find help and tutorials online.  

apidoc  

• It is designed to create documentation for APIs rather than any JavaScript code.  
• Automatically generates documentation pages. It includes pages like an overview page, a list of endpoints, and detailed pages for each endpoint.  
• One does not need to write special comments in their code to generate the documentation.  

plato  

• It is built with Node.js rather than other frameworks, like Java or .NET.  
• It has a plugin system, allowing for custom parsers and output formats.  
• Produces a hierarchical tree of topics, allowing for deeper exploration of topics. 

doctoc  

• Includes features like the ability to integrate with sources like GitHub and BitBucket.  
• It offers a simple command-line tool allowing users to generate basic documentation.  
• Includes an easy-to-use web-based editor that customizes the generated documentation.  

docute  

• It has a built-in search feature that finds the information they need.  
• It is an open-source library with no dependencies, making it lightweight and easy to use.  
• Supports many themes to design their documentation according to their design preferences.  

esdoc  

• Supports many languages such as JavaScript, TypeScript, Flow, and CoffeeScript.  
• It can be used in both browser based and Node.js projects.  
• It is customizable and can meet individual needs.  

kss-node  

• Allows to use the same syntax to document both CSS and your JavaScript.  
• It is designed to be used with Sass, Less, and other preprocessors.  
• It enables one to add notes and annotations to their code. 

styledocco  

• It uses a templating system to allow developers to customize the look and feel of their style guides.  
• Allows developers to share and collaborate on style guides. It makes it easier for many teams to work on the same projects.  
• It has a built-in code search feature to find code snippets related to a particular element. 

FAQ 

What is an API documentation generator, and why is it important for programming?  

An API documentation generator is a computer program. It generates documentation for an application programming interface (API). The documentation is a web page describing functions, classes, parameters, and return values. The generated documentation helps us understand how to use it and what it does. It is important for programming because it provides a way to understand the API and how to save time and effort.  

What does a documentation output look like when using a JavaScript library?  

A documentation output includes a description of the library, code examples, and references. The library's description overviews the purpose while it provides code snippets for tasks. The API references provide information about functions, including descriptions, return values, and information.  

What advantages does JSDoc have in comparison to other libraries?  

JSDoc has several advantages compared to other libraries.  

• First, it is open source, meaning anyone can contribute to its development or use it in their projects. This allows for a wide range of customization and extensibility.  
• Second, JSDoc is designed to be intuitive and easy to use. It provides a simple syntax for documenting code. It generates an HTML page that we can use for reference. This makes it much easier to understand the code and find the necessary information.  
• Finally, JSDoc is compatible with various other libraries, such as TypeScript and Flow. This makes it easier to integrate it with other tools and projects. Additionally, it supports various programming languages, including JavaScript, Java, and HTML.  

How can one use documentation comments to improve the quality of code?  

Documentation comments can improve the quality of code. It does so by describing the code's purpose and its associated components. This helps understand the code by reducing error risk and making it easy to maintain. Additionally, it can improve collaboration between developers. It allows them to understand one another's code. Finally, it can help with debugging. It provides an easy reference point for anyone trying to understand an issue.  

Is there a site generator for creating interfaces that use JavaScript libraries?  

There are several site generators for creating interfaces that use JavaScript libraries. Some popular options include React, AngularJS, Vue.js, and Ember.js.  

Can we use markdown files with JavaScript document generators?  

Some document generators, such as Docsify and VuePress, can process Markdown files.  

Does Visual Studio Code offer integration with any specific JavaScript documentation generators?  

Yes, Visual Studio Code offers integration with JSDoc, a JavaScript documentation generator. JSDoc helps developers create inline documentation for their JavaScript code. It uses a syntax like JavaDoc, compatible with Visual Studio Code.  

Are code snippets included in most modern JavaScript library document generators?  

Yes, most modern JavaScript library document generators include code snippets.  

Do we need to annotate source files before we include them in generated docs from a library?  

No, we don't need to annotate source files before including them in the generated docs from a library. But adding annotations can help make the documentation easier to read and navigate.  

In what way do type annotations enhance the usability of a document generator output?  

Type annotations enhance the usability of a JavaScript document generator library's output. It will use it in its code without guessing what data the output contains. It will do so by providing developers with more information about the data types of the output. This makes it easier for developers to understand the output. Type annotations also make the output more consistent. It can reduce errors and make the code more maintainable. 

Here are the top python telegram API libraries that any developer can access to simplify the creation and maintenance of telegram bots and other services.   

The messaging service Telegram provides two diverse types of APIs for programmers to use. Using the Bot API, you may quickly make software that uses Telegram messages as an interface. You can create your own uniquely designed Telegram clients using the TDLib and Telegram API. Many uses for the Telegram Bot API are possible, ranging from systems that control notifications to video or image editing. Creating interactive games or providing individualized news updates is an additional potential use for the Telegram Bot API.  

The best Python Telegram API libraries are presented below, precisely categorized, and picked based on reviews and features. 

python-telegram-bot- 

• Asynchronous interface for telegram bot API. 
• Featuring high-level classes for easy implementation. 
• Optional 3rd party dependencies are available.

Telethon- 

• Interacting with telegram becomes easy with this python library. 
• It is an MTProto library. 
• Can also be used with telegram bots. 

pyTelegramBotAPI- 

• Extensible python API for Telegram bot. 
• Contains message handlers and makes function names customizable.  
• It is an HTTP-based interface. 

aiogram- 

• Written with asyncio and aiohttp. 
• The framework is completely asynchronous. 
• The client/server framework is concurrent. 

pyrogram- 

• Interact with the main telegram API through a user account. 
• Easy install using pip. 
• It's asynchronous but can be used synchronously if needed.

telegramscraper- 

• Many accounts are supported at the same time. 
• Telegram scrapper and adder. 
• Scrapping is possible for public groups in bulk. 

pytgcalls- 

• Exclusive for telegram group calls. 
• Uses NodeJS’s WebRTC library. 
• Support Pyrogram and Telethon clients. 

opentele- 

• For switching between tdata and telethon sessions. 
• Real data can be used to randomize device info. 
• Bot detection can be avoided. 

telemirror- 

• Client API for telegram message forwarding. 
• Message filters to identify incoming messages. 
• Mapping of source and target channels.

python-telegram-handler- 

• Handles logs using telegram bot API. 
• Easy use with registering and obtaining the authentication token.  
• If an exception, the handler retrieves chat_id. 

aiotg- 

• Easy and declarative API. 
• Hassle-free setup - no need for SSL certificates or static IP. 
• Built-in support for analytics via chatbase.com. 
• Automatic handling of Telegram API throttling or timeouts. 

The top Python GitLab libraries are listed below. You can use these libraries to access the GitLab APIs and handle GitLab efficiently. 

The most widely used version control system is called Git. One of the most popular hosting options for Git VCS is GitLab. Thus, it offers this system's functionality and adds many more, such as GitLab's CI/CD (continuous integration/continuous delivery) tools for DevOps. The GitLab API is another incredibly helpful thing. You can automate your work using this tool. Several routine tasks that we complete by hand every day might be automated. As a result, we will have less work to do and fewer difficulties that a user can unintentionally cause. 

This is a list of Python-based Gitlab API libraries. They have been tweaked so that GitLab becomes easier, and developers feel more acquainted.   

python-gitlab- 

• GitLab resources can be managed effectively.  
• Use lower-level API methods to immediately reach arbitrary endpoints as quickly as they are made accessible on GitLab.  
• Use persistent request sessions for authentication, proxy, and certificate handling. 

python-gitlab3- 

• Complete coverage of easily maintainable GitLab API.  
• A python wrapper with a better user interface.  
• The project was organized more clearly using Epydoc-generated HTML. 

gitlab-languages- 

• Uses GitLab language API. 
• Utility to generate data source text files for the GitLab instance. 
• Additional arguments can be specified. 

pyapi-gitlab- 

• A good wrapper of Gitlab-API using python. 
• It has its versioning and requires a requests package. 
• It can be installed using pip install.

 GitPython- 

• Exclusive for interacting with git repositories. 
• The object database system is designed to handle substantial numbers of objects and massive datasets. 
• Git command implementation that uses more resources. 

 pygit2- 

• It is binding to the libgit2 shared library. 
• It implements git plumbing. 
• Pygit2 provides a lot of equivalents to the git commands. 

 GitLabpy- 

• GitLab’s webhooks can be sorted using this module. 
• JSON data is handled using inbuilt functions. 
• Requires Python3 and can be pip installed. 

dulwich- 

• Provides an interface to git repositories. 
• Optional C extensions can be built using a python file.  
• It supports both lower-level API and porcelain plumbing. 

Here are the leading Java libraries for working with the REST framework. These libraries can be used to develop websites using Java. It turns out easier with the help of such modular frameworks.

Representational State Transfer, or REST, can be used with almost any protocol; however, it commonly uses HTTP when used with online APIs. REST is a nebulously defined protocol for listing, generating, modifying, and deleting data on your server over HTTP. The REST API manages requests from external customers and is an integration framework component. The fact that REST APIs offer a great degree of versatility is one of their main benefits. REST can support a variety of call types, return diverse data formats, and even alter architecturally with the proper implementation of hypermedia because data is not linked to resources or functions.  

The top 9 Java libraries for interacting with the REST framework are listed below. Java programmers can create webpages utilizing these libraries.   

blade- 

• A new generation MVC framework with no dependencies. 
• Support for template engine and more flexible view development. 
• Supports plug-in extensions and webjars resources. 

dropwizard- 

• A faster way to develop web applications.  
• Uses Jersey for REST modeling and Jackson for JSON parsing and generating. 
• Uses JDBI and Hibernate for databasing. 

spark- 

• Domain-specific REST framework that supports Kotlin alongside Java. 
• The application can be structured based on user requirements. 
• Doesn’t follow the MVC framework. 

struts- 

• API developed by Apache for website development. 
• Open-source framework. 
• Supports SOAP and AJAX alongside REST. 

swagger-core- 

• Library to ease out Swagger API specification. 
• Easy access to REST API. 
• Requires Java, Apache maven, and Jackson installations.

Resty- 

• A compact and convenient Java library for communicating with RESTful services. 
• RESTful web services can be accessed with just two lines of code. 
• A simple and minimalist Java framework. 

zerocode- 

• API automation that uses JUnit core runners for HTTP REST, SOAP, security, and databases. 
• Easily develop, modify, manage, and maintain your automated test cases. 
• An open-source framework for load testing and microservices.  

restlet-framework-java- 

• Powerful routing and filtering capabilities. 
• Unified Client and Server Java API. 
• Can build scalable REST APIs and has a huge list of extensions. 

restx- 

• Lightweight disrupting stack, primarily focusing on REST.  
• Licensed under Apache License 2.  
• Decomposed in a set of reusable and customizable modules.

Here are some of the famous Node JS HTTP Request Libraries. The use cases of these libraries include Server-side Web Apps, Mobile App Development, Data Processing, Data Analysis, and Network Monitoring.

Node.js HTTP Request Libraries are libraries that allow Node.js developers to make requests to web servers in order to retrieve data. This can be helpful when building web applications that need to pull in external data from other web servers. Examples of popular Node.js HTTP Request Libraries are Axios, Request, and Superagent.

Let us look at some of these famous libraries. 

axios

• Automatically transforms all request and response data into JSON, making it easier to handle data.
• Supports interceptors which can be used to modify or transform requests or responses before they are handled by then or catch.
• Supports automatic token refresh.

fetch

• Supports cancelable requests and allows developers to abort requests at any point. 
• Supports a wide range of HTTP methods beyond the standard GET and POST. 
• Provides a Promise-based API, which simplifies the process of making asynchronous requests. 

request

• Provides full access to all Node.js features, including streams, event emitters, and files.
• Is highly configurable and can be used to set timeouts, retry requests, and more.
• Has built-in support for gzip and deflate encoding.

superagent

• Allows easy setting headers, cookies, and other request parameters. 
• Is highly configurable and supports many features that help developers quickly and easily request HTTP.  
• Supports multipart encoding, allowing developers to send binary data easily. 

nock

• Allows users to easily create custom request matchers, allowing users to create more powerful and precise requests. 
• Users can record and replay their requests, making debugging and testing easy.  
• Provides a sandbox for users to test their requests in isolation without making live calls or affecting the external environment. 

node-fetch

• Supports global agent pooling and request pooling.
• Allows developers to use the same API for both server and client-side requests.
• Is designed to be lightweight and fast, making it ideal for applications that require rapid response times.

r2

• Provides support for the latest security protocols, such as TLS 1.3.
• Support for advanced HTTP methodologies such as HTTP/2 and WebSocket.
• Allows for the implementation of custom middleware.

needle

• Has built-in support for parsing JSON and can be used to create custom parsers for other formats.  
• Is well-documented and provides a comprehensive set of APIs for making HTTP requests.  
• Is optimized for low latency and high throughput, making it suitable for various applications. 

unirest-nodejs

• Has built-in support for automatically following redirects.
• Allows to send both synchronous and asynchronous requests.
• Has built-in support for automatically compressing and decompressing requests and responses.

hyperquest

• Has built-in support for caching and retrying requests, making it easy to build resilient applications.  
• Supports server-side data serialization and deserialization, allowing developers to transform data between client and server quickly.  
• Is built on a minimalistic core, making it suitable for applications that need a small footprint.