Libraries Python Packages

cloud-sql-python-connector

A Python library for connecting securely to your Cloud SQL instances.

find-libpython

Finds the libpython associated with the current Python environment, wherever it may be hiding.

djangorestframework-queryfields

Allows clients to control which fields will be sent in the API response

lazy-string

Python library for defining strings with delayed evaluation

bit

Bitcoin made easy.

orderedset

Ordered Set implementation in Cython

awesome-pattern-matching

Pattern Matching for Python 3.7+ in a simple, yet powerful, extensible manner.

cliss

Write type-annotated Python functions, get a full CLI — automatic `--help`, validation, async support, and zero dependencies

arg-kiss

Write type-annotated Python functions, get a CLI with argparse's native `--help` — no magic, no bloat

mex-common

RKI Metadata Exchange | Software development toolkit for the MEx project that contains utilities for building pipelines and services, including shared code for logging, configuration and data models.

argss

Write type-annotated Python functions, get a CLI with argparse's native `--help` — no magic, no bloat. Flat commands only, synchronous execution

pyflp

FL Studio project file parser

trcks

Python library for type-safe railway-oriented programming 🚂🐍

xulbux

A Python library to simplify common programming tasks.

dffml-model-tensorflow

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

nano-utils

Utility functions used throughout the various nlesc-nano repositories.

dffml-model-scikit

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

dffml-model-scratch

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

dffml-model-tensorflow-hub

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

pygensuggestions

Source code for the pygensuggestions python library.

dffml-model-spacy

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

multitrain

MultiTrain is a user-friendly tool that lets you train several machine learning models at once on your dataset, helping you easily find the best model for your needs.

mvlogics

Source code for the mvlogics python library.

frame-fwl

The Frame - multitool framework.