swiss-chard | Chard - redis backed scheduler for celery beat

by SPSCommerce Python Version: 1.0.0 License: MIT

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kandi X-RAY | swiss-chard Summary

swiss-chard is a Python library. swiss-chard has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install swiss-chard' or download it from GitHub, PyPI.

swiss-chard - redis backed scheduler for celery. To configure, set CELERYBEAT_SCHEDULER to swisschard.scheduler.ChardScheduler and specify a CELERY_REDIS_SCHEDULER_URL. nosetests -v --cover-package=swisschard --with-cover -s. Tests require redis running locally and will use the db 0. It spins up celery and tests to make sure the correct number of taks are scheduled. Could probably be explanded more and get coverage of some of the edge cases.

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Support

swiss-chard has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 20 watchers for this library.

It had no major release in the last 12 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 swiss-chard is 1.0.0

Quality

swiss-chard has no bugs reported.

Security

swiss-chard has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

swiss-chard 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

swiss-chard releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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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swiss-chard Key Features

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swiss-chard Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install swiss-chard

You can install using 'pip install swiss-chard' or download it from GitHub, PyPI.
You can use swiss-chard 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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