PythonのWeb frameworkのパフォーマンス比較 (Django, Flask, responder, FastAPI, japronto) - Qiita
PythonのWeb frameworkのパフォーマンス比較 (Django, Flask, responder, FastAPI, japronto)PythonFlaskwrk2responderFastAPI 以下のPython Web frameworkを使って単純なAPIを立てて、負荷試験をしてみました。 Django (2.X) Flask FastAPI responder japronto 結果的に、ざっくりと以下が分かりました！ performanceは「japronto >>> FastAPI > responder >>> Flask ~ Django」だと言えそう FastAPIとresponderはsingle workerだと秒間100~1000程度のrequestであればpython界で圧倒的なperformanceを誇るjaprontoとほとんど同水準 （検
Choosing a Fast Python API Framework
Posted on May 17, 2018 | 6 minutes | Fotis Gimian This post attempts to highlight my thought process in selecting a suitable stack for developing an API in Python for our current project at work. Although I have personally benchmarked various combinations, I haven’t documented the results for this article, instead merely mentioned which frameworks and WSGI servers were found to be fast or slow.
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GitHub - tiangolo/fastapi: FastAPI framework, high performance, easy to learn, fast to code, ready for production
GitHub - plotly/dash: Data Apps & Dashboards for Python. No JavaScript Required.
GitHub - MasoniteFramework/masonite: The Modern And Developer Centric Python Web Framework. Be sure to read the documentation and join the Discord channel for questions: https://discord.gg/TwKeFahmPZ
GitHub - kennethreitz/responder: a familiar HTTP Service Framework for Python
GitHub - Bogdanp/molten: A minimal, extensible, fast and productive framework for building HTTP APIs with Python 3.6 and later.
GitHub - susam/ice: Ice - WSGI on the rocks