repology-linkchecker | Repology link checking daemon
kandi X-RAY | repology-linkchecker Summary
kandi X-RAY | repology-linkchecker Summary
repology-linkchecker is a Python library. repology-linkchecker has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
This is a standalone link validity checker daemon for Repology project. It operates on links table in Repology PostgreSQL database, which contains homepage and download URLs of F/OSS projects extracted from packages by Repology, taking URLs from there, checking their validity and accessibility via both IPv4 and IPv6 and writes the status back.
This is a standalone link validity checker daemon for Repology project. It operates on links table in Repology PostgreSQL database, which contains homepage and download URLs of F/OSS projects extracted from packages by Repology, taking URLs from there, checking their validity and accessibility via both IPv4 and IPv6 and writes the status back.
Support
Quality
Security
License
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Support
repology-linkchecker has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 15 open issues and 15 have been closed. On average issues are closed in 92 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of repology-linkchecker is current.
Quality
repology-linkchecker has no bugs reported.
Security
repology-linkchecker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
repology-linkchecker 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
repology-linkchecker 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.
Top functions reviewed by kandi - BETA
kandi has reviewed repology-linkchecker and discovered the below as its top functions. This is intended to give you an instant insight into repology-linkchecker implemented functionality, and help decide if they suit your requirements.
- Process URLs
- Get the status of a host
- Process a response
- Full class name
- Update status for a given URL
- Update URL status
- Checks the given url against the session
- Classify an exception
- Print exception info
- Request DNS information
- Updates statistics on the pool
- Main loop
- Iterate over urls to recheck
- Wait for all the workers to finish
- Add a new URL to the pool
- Parse command line arguments
- Resolve an IP address
- Run the worker thread
Get all kandi verified functions for this library.
repology-linkchecker Key Features
No Key Features are available at this moment for repology-linkchecker.
repology-linkchecker Examples and Code Snippets
No Code Snippets are available at this moment for repology-linkchecker.
Community Discussions
No Community Discussions are available at this moment for repology-linkchecker.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install repology-linkchecker
You can download it from GitHub.
You can use repology-linkchecker 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 repology-linkchecker 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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