tweets_analyzer | Tweets metadata scraper & activity analyzer
kandi X-RAY | tweets_analyzer Summary
kandi X-RAY | tweets_analyzer Summary
tweets_analyzer is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. tweets_analyzer has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.
Tweets metadata scraper & activity analyzer
Tweets metadata scraper & activity analyzer
Support
Quality
Security
License
Reuse
Support
tweets_analyzer has a medium active ecosystem.
It has 2863 star(s) with 481 fork(s). There are 130 watchers for this library.
It had no major release in the last 12 months.
There are 30 open issues and 18 have been closed. On average issues are closed in 118 days. There are 8 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of tweets_analyzer is v0.2
Quality
tweets_analyzer has 0 bugs and 0 code smells.
Security
tweets_analyzer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
tweets_analyzer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
tweets_analyzer is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
tweets_analyzer releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed tweets_analyzer and discovered the below as its top functions. This is intended to give you an instant insight into tweets_analyzer implemented functionality, and help decide if they suit your requirements.
- Prints the data in chart format
- Cprint a string
- Export a string
- Convert an integer to a week number
- Get tweets from user timeline
- Process Tweet
- Get friends by username
- Increment the similarity of a friend
- Print statistics on a dataset
- Write to file
- Return True if sys stdout supports color
Get all kandi verified functions for this library.
tweets_analyzer Key Features
No Key Features are available at this moment for tweets_analyzer.
tweets_analyzer Examples and Code Snippets
Copy
{
"consumer_key": "xxxxxxxxxxxxxxxx",
"consumer_secret": "xxxxxxxxxxxxxxxx",
"access_token_key": "xxxxxxxxxxxxxxxx",
"access_token_secret": "xxxxxxxxxxxxxxxx"
}
./argos
Community Discussions
No Community Discussions are available at this moment for tweets_analyzer.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tweets_analyzer
⚠ First, update your API keys in the secrets.py file. To get API keys go to https://apps.twitter.com/. Python v2.7 or newer is required. You will need the following python packages installed: tweepy, ascii_graph, tqdm, numpy.
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 .
Find more information at:
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