retry | Retry decorator for those problematic functions

by byteskeptical Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | retry Summary

retry is a Python library. retry has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Exception type based retry decorator for all your problematic functions.

Support

Quality

Security

License

Reuse

Support

retry has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

retry has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of retry is current.

Quality

retry has no bugs reported.

Security

retry has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

retry is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

retry 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.

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retry Key Features

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retry Examples and Code Snippets

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Community Discussions

No Community Discussions are available at this moment for retry.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install retry

You can download it from GitHub.
You can use retry 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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