- Graz, Austria
-
18:24
(UTC +02:00) - @PamphileRoy
- in/tupui
Lists (1)
Sort Name ascending (A-Z)
Stars
FastAPI framework, high performance, easy to learn, fast to code, ready for production
scikit-learn: machine learning in Python
Rich is a Python library for rich text and beautiful formatting in the terminal.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
π₯§ HTTPie CLI β modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
π« Industrial-strength Natural Language Processing (NLP) in Python
The fundamental package for scientific computing with Python.
Write scalable load tests in plain Python ππ¨
A community-maintained Python framework for creating mathematical animations.
Data validation using Python type hints
get things from one computer to another, safely
Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
Typer, build great CLIs. Easy to code. Based on Python type hints.
Mail-in-a-Box helps individuals take back control of their email by defining a one-click, easy-to-deploy SMTP+everything else server: a mail server in a box.
A next generation HTTP client for Python. π¦
A framework for managing and maintaining multi-language pre-commit hooks.
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
Postgres CLI with autocompletion and syntax highlighting
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
An open access book on scientific visualization using python and matplotlib