Developer Tools

mlxtend adds helper modules for Python data analysis and machine learning libraries.

Beautiful Soup provides documentation and downloads for a Python library used to parse HTML.

Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.

A curated Python list helps readers find tools for particular tasks and use cases.

The Geni project provides a Clojure dataframe library that runs on Apache Spark.

Install and manage Vim plugins with vim-plug, a minimalist plugin manager for the editor.

Python developers can use gensim for topic modeling and related natural language processing tasks.

For Python data preparation, DataPrep offers an open-source low-code library to collect, clean, and visualize data.

Browse a curated list of open-source applications built with React Native in this repository.

AstroML provides Python tools for machine learning and data mining in astronomy.

Million builds open-source developer tools, datasets, and reinforcement learning environments for web and coding agents.

Valinor maps input data into strongly typed PHP structures without external dependencies.

Browse a gallery of interesting Jupyter notebooks on this project wiki, with examples from notebook users.

Prediction with gradient boosting regression tree models is implemented in leaves, a Go software library.

liblinear-java provides a Java version of LIBLINEAR for linear classification and regression models.

TextCL provides preprocessing tools for cleaning text data used in natural language processing tasks.

crystal-fann provides Crystal language bindings for the FANN artificial neural network library.

libfolia provides a C++ library for processing data in the FoLiA format.

Up For Grabs lists open-source projects with curated tasks intended for people starting to contribute.

ONNX-Scala provides an API and backend for deep and classical machine learning in Scala.

Create and maintain open-source documentation websites with Docusaurus.

The anneal project is a Go machine learning compiler with graph rewriting, autodiff, and a WebGPU backend.

For Go developers, GoLearn provides a collection of tools for machine learning.

Use Web ToolBox for browser-based formatting, conversion, encoding, generation, and validation tasks in web projects.