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Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Apache Hadoop

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

A computer algebra system written in pure Python

A hyperparameter optimization framework

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Lime: Explaining the predictions of any machine learning classifier

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Statsmodels: statistical modeling and econometrics in Python

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Bayesian Modeling and Probabilistic Programming in Python

Deep learning library featuring a higher-level API for TensorFlow.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

Simple feed-forward neural network in JavaScript

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

architecture-free neural network library for node.js and the browser

Fit interpretable models. Explain blackbox machine learning.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution