Python Libraries and Packages

JSON-based FON (Feature Object Notation) format and tools to simplify genomic annotations usage.

Low-level CFFI bindings for Argon2

pyKML is a Python package for creating, parsing, manipulating, and validating KML, a language for encoding and annotating geographic data.

PyWavefront is a Python library designed for importing Wavefront 3D object files (.obj and .obj.gz) and material files (.mtl). It generates interleaved vertex data for each material, making it ready for rendering. The library supports Python 3.4+ and offers a simple optional visualization module for rendering the objects. PyWavefront supports positions, texture coordinates, normals, vertex color, material parsing, texture, and texture parameters. It's an ideal tool for Python developers working with 3D graphics and Wavefront files.

Elegy is a Neural Networks framework based on Jax and Haiku.

Python options, make charting easier

Interactive visualization in Python

A model training library for pytorch

scikit-learn compatible neural network library for pytorch

Haiku API Bindings

ktrain is a wrapper for TensorFlow Keras that makes deep learning and AI more accessible and easier to apply

a flexible, fast machine learning library

PDF parser and analyzer

Link your photos into a KML ("Google Earth") file based on their geolocation

To simplify exif manipulations with python. Writing, reading, and more…

A Straightforward Google Earth KML Builder

A Simple KML creator

A Python library to covert KML files to GeoJSON files

Pure Python read/write support for ESRI Shapefile format

A cross platform helper library for ModernGL making window creation and resource loading simple

Yet another Pixel Classifier (based on deep learning)

An asynchronous networking framework written in Python

A library with algorithms on 2 player games.

A library to manipulate gettext files (po and mo files).

A friendly Python library for async concurrency and I/O