Developer Tools

Ruffus provides a Python library for building computation pipelines used in science and bioinformatics.

The pandas project provides open-source Python tools for analyzing and manipulating data.

Reinforcement learning algorithms can be evaluated with Gym4ReaL, a Gymnasium-based suite of realistic environments.

TextBlob offers Python natural language processing tools, including tagging, noun phrase extraction, and sentiment analysis.

Regular expressions can be learned, built, and tested with RegExr, an online editor with reference material.

Tesseract provides an open-source OCR engine for extracting text from images, with its main repository hosted on GitHub.

DSP.jl provides Julia routines for digital signal processing, including filter design, periodograms, convolution, and window functions.

Jupyter Server documentation explains the server that supports Jupyter notebook applications.

Voice Lab provides a framework for testing and evaluating voice agents.

JSON Hero provides a web interface for reading and exploring JSON files.

Lighthouse Metrics runs website performance tests from multiple global locations.

Tablecloth provides a dataset manipulation API for the tech.ml.dataset library.

Neural network inference on mobile devices is the focus of ncnn, a software framework optimized for mobile platforms.

Android Asset Studio offers tools for generating app assets such as launcher icons.

ai-i18n translates application localization files with language models and commits changed translations through GitHub Actions.

MatlabBGL is a graph library that provides graph algorithms and tools for MATLAB users.

Choose a License offers guidance to help developers select an open-source license for a project.

CodeImage helps developers organize code snippets and create shareable screenshots of source code.

DataFrames.jl provides in-memory tabular data structures and tools for working with data in Julia.

deobfuscate.io removes common JavaScript obfuscation techniques from code.

Use LLM, a command-line utility and Python library, to interact with large language models.

Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.

This online Markdown editor lets users write Markdown and view rendered examples alongside a tutorial.

CSS3 Transform Visualizer lets users explore and preview two-dimensional and three-dimensional transform functions.