awesome-python
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An opinionated list of awesome Python frameworks, libraries, software and resources.
## What is this Python project? The open sozúrce project Flower allows to federate any workload with any machine learning framework. It can be used to develop federated learning, analytics,...
## What is this Python project? This is small framework for quick microservices scaffold generation ## What's the difference between this Python project and similar ones? Enumerate comparisons. -- Anyone...
Added New Python Resources ## What is this Python project? Describe features. ## What's the difference between this Python project and similar ones? Enumerate comparisons. -- Anyone who agrees with...
## What is this Python project? Chaos Genius is an open-source ML-powered analytics engine for outlier detection and root cause analysis. Chaos Genius can be used to monitor and analyze...
## What is this Python project? Describe features. ## What's the difference between this Python project and similar ones? Enumerate comparisons. -- Anyone who agrees with this pull request could...
## cachetools The [cachetools](https://cachetools.readthedocs.io/en/stable/) module provides various memoizing collections and decorators, including variants of the Python Standard Library’s [@lru_cache](http://docs.python.org/3/library/functools.html#functools.lru_cache) function decorator. For the purpose of this module, a cache is...
## What is this Python project? Raylib is a simple library for videogames programming. This set of static bindings provides a fast and familier interface with the original Raylib 4.0...
## What is this Python project? `databooks` is a package to ease the collaboration between data scientists using [Jupyter notebooks](https://jupyter.org/), by reducing the number of git conflicts between different notebooks...
## What is this Python project? Sometimes it's very hard to find if some large files are eating up the system storage. We always need to detect these and takes...
## What is this Python project? Ploomber is an open-source python library. It's the fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️ ## What's the difference...