thread_worker | 多线程队列消费work 含有优先级的work 有限流的work可以简易的使用多线程做更多的事情

by Ciyfly Python Version: v0.1.6 License: MIT

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

kandi X-RAY | thread_worker Summary

thread_worker is a Python library. thread_worker 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.

方便的使用生产者消费者模式使用多线程+队列支持正常的一个生产者多个消费者模式支持优先消费队列模式支持限流work模式.

Support

Quality

Security

License

Reuse

Support

thread_worker has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of thread_worker is v0.1.6

Quality

thread_worker has no bugs reported.

Security

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

License

thread_worker is licensed under the MIT License. This license is Permissive.

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

Reuse

thread_worker releases are available to install and integrate.

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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thread_worker Key Features

No Key Features are available at this moment for thread_worker.

thread_worker Examples and Code Snippets

No Code Snippets are available at this moment for thread_worker.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install thread_worker

You can download it from GitHub.
You can use thread_worker 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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