Open source ai/ml tools, ranked by score and analyzed honestly. Part of our AI & Machine Learning coverage.
Ranked by score. Updated weekly.
The official Python library for the OpenAI API
Model framework for state-of-the-art ML
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
SDK and proxy to call 100+ LLM APIs in OpenAI format
Build and share ML demo apps in Python
AI compute engine for ML workloads at scale
Multi-type data labeling and annotation
Array framework for Apple silicon
Open source AI/ML lifecycle platform
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click
Open source LLM engineering platform
ML experiment tracking
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The Context Optimization Layer for LLM Applications
Open source community platform for sharing and discovering AI image generation models
A PyTorch native platform for training generative AI models
A machine learning compiler for GPUs, CPUs, and ML accelerators
Permanent Free LLM API List (API Keys) 😎🔑
Easy-to-use & supercharged open-source experiment tracker.