streamlit-twitter-stream | Live stream tweets based on keywords to database

by jonathanreadshaw Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | streamlit-twitter-stream Summary

streamlit-twitter-stream is a Python library. streamlit-twitter-stream has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Live stream tweets based on keywords to database using SQLAlchemy. Tweets are assigned a sentiment score and data is presented via streamlit.

Support

Quality

Security

License

Reuse

Support

streamlit-twitter-stream has a low active ecosystem.

It has 13 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of streamlit-twitter-stream is current.

Quality

streamlit-twitter-stream has 0 bugs and 0 code smells.

Security

streamlit-twitter-stream has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

streamlit-twitter-stream code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

streamlit-twitter-stream does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

streamlit-twitter-stream releases are not available. You will need to build from source code and install.

Build file is available. You can 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 streamlit-twitter-stream and discovered the below as its top functions. This is intended to give you an instant insight into streamlit-twitter-stream implemented functionality, and help decide if they suit your requirements.

Process a Tweet
Context manager for a session
Insert a tweet into the session
Check if keyword in body is present in body
Start twitter stream
Parse command line arguments
Return a pandas dataframe
Creates an engine connection
Plot sentiment plot
Count plot data in a DataFrame
Filter a DataFrame by date range

Get all kandi verified functions for this library.

streamlit-twitter-stream Key Features

No Key Features are available at this moment for streamlit-twitter-stream.

streamlit-twitter-stream Examples and Code Snippets

No Code Snippets are available at this moment for streamlit-twitter-stream.

Community Discussions

No Community Discussions are available at this moment for streamlit-twitter-stream.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install streamlit-twitter-stream

You can download it from GitHub.
You can use streamlit-twitter-stream 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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