What tools are missing in Python?

This page summarizes the projects mentioned and recommended in the original post on /r/Python

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  1. lisa

    Linux Integrated System Analysis (by ARM-software)

    Regarding dependency injection you can have a look at that (I've not merged it yet but I consider it basically final): https://github.com/ARM-software/lisa/pull/1722/files

  2. Judoscale

    Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

    Judoscale logo
  3. datoviz

    ⚡ Datoviz: high-performance GPU scientific data visualization C/C++/Python library

    Datoviz looks promising in this regard.

  4. plotly

    The interactive graphing library for Python :sparkles:

    Here are the docs: https://plotly.com/python/

  5. hotwire-rails

    Discontinued Use Hotwire in your Ruby on Rails app

    A good hotwire plugin or reference implementation for Django would be welcome.

  6. turbo-django

    Discontinued Unmaintained // An early stage integration of Hotwire Turbo with Django

  7. blazon

    A python library for assuring data structure and format via schemas like JSON Schema

    Making a general ORM is actually a pretty hard problem. You need to map schemas/constraints between systems. If anyone wants some inspiration, I started a library that does this, very alpha: https://github.com/DeadWisdom/blazon

  8. fastapi

    FastAPI framework, high performance, easy to learn, fast to code, ready for production

    You might one want to check out ormar just found it while browsing this issue on FastAPI's GitHub

  9. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

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  10. kompute

    General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

    Check out Kompute.

  11. PyInstaller

    Freeze (package) Python programs into stand-alone executables

    git clone https://github.com/pyinstaller/pyinstaller cd pyinstaller/bootloader git checkout python ./waf all python setup.py install

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Did you know that Python is
the 2nd most popular programming language
based on number of references?