BigTweet | Source Python-Based Tool
kandi X-RAY | BigTweet Summary
kandi X-RAY | BigTweet Summary
BigTweet is a Python library. BigTweet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However BigTweet build file is not available. You can download it from GitHub.
The BigTweet tool was built out of the need to eliminate the barriers that the Twitter API imposes so as to help researchers, businesses and organizations get all the tweets data they need for various analysis in their different line of operations, with ease and from command line, meaning no prior extensive programming knowledge is required. BigTweet provides a means of getting old/backdated twitter data for analysis, bypassing the rate limits and restrictions from twitter API, giving you unlimited tweet textual data along with some other metadata such as; dates and time information, likes, retweets, replies, and permalinks (unique link to a tweet).
The BigTweet tool was built out of the need to eliminate the barriers that the Twitter API imposes so as to help researchers, businesses and organizations get all the tweets data they need for various analysis in their different line of operations, with ease and from command line, meaning no prior extensive programming knowledge is required. BigTweet provides a means of getting old/backdated twitter data for analysis, bypassing the rate limits and restrictions from twitter API, giving you unlimited tweet textual data along with some other metadata such as; dates and time information, likes, retweets, replies, and permalinks (unique link to a tweet).
Support
Quality
Security
License
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Support
BigTweet has a low active ecosystem.
It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
BigTweet has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of BigTweet is current.
Quality
BigTweet has no bugs reported.
Security
BigTweet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
BigTweet is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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BigTweet releases are not available. You will need to build from source code and install.
BigTweet has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed BigTweet and discovered the below as its top functions. This is intended to give you an instant insight into BigTweet implemented functionality, and help decide if they suit your requirements.
- Return a list of tweets that match the criteria
- Returns a JSON response for a query
Get all kandi verified functions for this library.
BigTweet Key Features
No Key Features are available at this moment for BigTweet.
BigTweet Examples and Code Snippets
No Code Snippets are available at this moment for BigTweet.
Community Discussions
No Community Discussions are available at this moment for BigTweet.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install BigTweet
You can download it from GitHub.
You can use BigTweet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use BigTweet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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