Python Libraries and Packages

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions

A parser for Python dependency files

Filesystem-like pathing and searching for dictionaries

Library to convert rich text from Draft.js raw ContentState to HTML

Django-REST-framework serializer fields for compound types.

Extensions for Django REST Framework

Nested resources for the Django Rest Framework

Sane and flexible OpenAPI 3 schema generation for Django REST framework

Writable nested helpers for django-rest-framework's serializers

A Simple Drift API Wrapper.

A Python 3 library for sci-kit learn, XGBoost, LightGBM, Spark, and TensorFlow decision tree visualization

Automated generation of real Swagger/OpenAPI 2.0 schemas from Django Rest Framework code.

The dtw Python package is a powerful tool for handling time-series data. It offers a complete implementation of Dynamic Time Warping (DTW) algorithms, which are used to optimally map one time-series (query) onto another (reference) by applying local stretch or compression to the time axes. This package is a Python equivalent of the R's DTW package and doesn't depend on any other Python packages. It's a great tool for any Python developer working with time-series data.

Django Rest Framework UJSON Renderer

Python Git Library

Simple wrapper script which proxies signals to a child

Official Dropbox API Client

Distance measures for time series (Dynamic Time Warping, fast C implementation)

Python client for H2O Driverless AI.

Background Processing for Python 3.

JSON Web Token based authentication for Django REST framework

Python wrapper for C++ Double Metaphone

dict object with support for addressing keys in dot notation.

Dictionary wrapper for quick access to deeply nested keys.

fast, simple packet creation / parsing, with definitions for the basic TCP/IP protocols