Awesome Open-Source AI Toolkit
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Stop searching. This is the only AI toolkit a developer will ever need!
This toolkit covers all areas of AI, from machine learning basics to specialized fields like computer vision, NLP, reinforcement learning, and MLOps. Updated with 2025 trends for building, learning, and experimenting efficiently.
A curated, comprehensive collection of open-source AI tools, frameworks, datasets, courses, and seminal papers. Organized by AI domains and segregated for beginners (foundational, easy-to-use tools/courses) and advanced users (complex, production-ready resources).
Whether you’re a beginner starting your AI journey or an advanced engineer deploying scalable systems, this repo provides essential resources to accelerate your work. Contribute to keep it growing.
Why This Toolkit?
- Broad Coverage: Spans all AI domains with detailed category separation.
- Open-Source Only: Exclusively free, community-driven tools and resources.
- Skill-Level Segregation: Beginner-friendly entries for quick starts; advanced for deep dives.
- Beyond Tools: Includes top datasets for exploration, free courses, and key papers.
- Up-to-Date: Trending resources as of August 2025, with GitHub stars for popularity insights.
- Community-Driven: Add new entries via PRs to make it more comprehensive and viral!
AI Domains and Tools
Tools are categorized by domain. Each includes a brief description, GitHub URL, and approximate stars (as of August 2025). Segregated into Beginner (simple setup, tutorials-focused) and Advanced (scalable, customizable) sub-sections.
Machine Learning Frameworks
Foundational libraries for building and training ML models.
Beginner
Tool Description URL Stars scikit-learn Simple machine learning in Python for classification, regression, and clustering https://github.com/scikit-learn/scikit-learn 60k Keras User-friendly neural networks API on top of TensorFlow or PyTorch https://github.com/keras-team/keras 61k Advanced
Tool Description URL Stars TensorFlow End-to-end platform for large-scale ML with strong ecosystem support https://github.com/tensorflow/tensorflow 183k PyTorch Dynamic neural networks with GPU acceleration for research and production https://github.com/pytorch/pytorch 81k Data Processing & Management
Tools for handling and preparing data.
Beginner
Tool Description URL Stars Pandas Easy data manipulation and analysis with DataFrames https://github.com/pandas-dev/pandas 43k NumPy Fundamental array computing and linear algebra operations https://github.com/numpy/numpy 28k Advanced
Tool Description URL Stars Dask Parallel computing for large datasets, integrates with Pandas/NumPy https://github.com/dask/dask 12k Vector Databases
Open-source storage for embeddings and similarity search.
Beginner
Tool Description URL Stars Chroma Simple embedding database for local LLM apps https://github.com/chroma-core/chroma 15k FAISS Efficient similarity search library from Facebook AI https://github.com/facebookresearch/faiss 35k Advanced
Tool Description URL Stars Weaviate Vector database with GraphQL and modular plugins https://github.com/weaviate/weaviate 15k Qdrant High-performance vector search with filtering support https://github.com/qdrant/qdrant 20k Milvus Scalable vector database for billion-scale similarity search https://github.com/milvus-io/milvus 30k Orchestration & Workflow Frameworks
For building AI pipelines and agents.
Beginner
Tool Description URL Stars Langflow No-code visual builder for LLM workflows https://github.com/langflow-ai/langflow 15k Flowise Drag-and-drop UI for LLM chains https://github.com/FlowiseAI/Flowise 25k Advanced
Tool Description URL Stars LangChain Modular framework for LLM apps and agents https://github.com/langchain-ai/langchain 120k LlamaIndex Data ingestion and querying for LLMs https://github.com/run-llama/llama_index 50k Haystack Production-ready NLP pipelines https://github.com/deepset-ai/haystack 18k DSPy Programmatic prompt optimization https://github.com/stanfordnlp/dspy 15k Semantic Kernel AI integration SDK for .NET/Python/Java https://github.com/microsoft/semantic-kernel 8k Computer Vision
Libraries for image processing and vision tasks.
Beginner
Tool Description URL Stars OpenCV Core library for image/video processing and basic CV tasks https://github.com/opencv/opencv 75k Advanced
Tool Description URL Stars Ultralytics YOLO State-of-the-art object detection and segmentation models https://github.com/ultralytics/ultralytics 30k Detectron2 Facebook AI’s framework for object detection and segmentation https://github.com/facebookresearch/detectron2 30k Natural Language Processing (NLP)
Tools for text analysis and language models.
Beginner
Tool Description URL Stars NLTK Toolkit for basic NLP tasks like tokenization and stemming https://github.com/nltk/nltk 13k spaCy Efficient NLP library for entity recognition and dependency parsing https://github.com/explosion/spaCy 29k Advanced
Tool Description URL Stars Transformers Hugging Face library for state-of-the-art NLP models https://github.com/huggingface/transformers 130k Flair Framework for advanced NLP with pre-trained embeddings https://github.com/flairNLP/flair 14k Reinforcement Learning (RL)
Frameworks for agent training and decision-making.
Beginner
Tool Description URL Stars Stable-Baselines3 Reliable RL algorithms built on PyTorch https://github.com/DLR-RM/stable-baselines3 8k Advanced
Tool Description URL Stars Ray RLlib Scalable RL library for distributed training https://github.com/ray-project/ray 32k OpenRL Unified framework for single/multi-agent RL https://github.com/OpenRL-Lab/openrl 1k MLOps
Tools for ML operations, deployment, and monitoring.
Beginner
Tool Description URL Stars MLflow Track experiments, package code, and deploy models https://github.com/mlflow/mlflow 18k Advanced
Tool Description URL Stars Kubeflow Kubernetes-native platform for ML pipelines https://github.com/kubeflow/kubeflow 14k DVC Version control for data and ML models https://github.com/iterative/dvc 13k PDF Extraction Tools
For extracting data from PDFs.
Beginner
Tool Description URL Stars pdfplumber Extract text and tables from PDFs https://github.com/jsvine/pdfplumber 6k Camelot Tabular data extraction from PDFs https://github.com/camelot-dev/camelot 2k Advanced
Tool Description URL Stars Docling AI-powered PDF to JSON/Markdown conversion https://github.com/docling-project/docling 1k PyMuPDF High-performance PDF parsing https://github.com/pymupdf/PyMuPDF 5k PDF.js JavaScript-based PDF rendering and extraction https://github.com/mozilla/pdf.js 50k Retrieval-Augmented Generation (RAG)
For enhancing LLMs with external data.
Beginner
Tool Description URL Stars PrivateGPT Local document interaction with LLMs https://github.com/imartinez/privateGPT 50k AnythingLLM All-in-one local LLM app for RAG https://github.com/Mintplex-Labs/anything-llm 20k Advanced
Tool Description URL Stars RAGFlow Deep document understanding for RAG https://github.com/infiniflow/ragflow 15k Verba RAG chatbot with Weaviate integration https://github.com/weaviate/Verba 5k Quivr GenAI second brain for document management https://github.com/QuivrHQ/quivr 35k Jina Multimodal neural search for RAG https://github.com/jina-ai/jina 25k txtai Embeddings database for semantic search https://github.com/neuml/txtai 10k Evaluation & Testing
For assessing AI models.
Beginner
Tool Description URL Stars Ragas Framework for evaluating RAG pipelines https://github.com/explodinggradients/ragas 8k Advanced
Tool Description URL Stars Phoenix Observability for LLMs and vision models https://github.com/Arize-ai/phoenix 5k DeepEval Unit testing for LLM outputs https://github.com/confident-ai/deepeval 8k TruLens Tracking and evaluation for LLM experiments https://github.com/truera/trulens 2k Monitoring & Observability
For production AI systems.
Beginner
Tool Description URL Stars Phoenix ML observability tool https://github.com/Arize-ai/phoenix 5k Advanced
Tool Description URL Stars Evidently AI Monitoring for ML model performance https://github.com/evidentlyai/evidently 5k AI Agents
Frameworks for building autonomous AI agents.
Beginner
Tool Description URL Stars AutoGPT Autonomous AI agent for task automation using LLMs https://github.com/Significant-Gravitas/AutoGPT 160k BabyAGI Task-driven autonomous agent inspired by BabyAGI https://github.com/yoheinakajima/babyagi 18k Advanced
Tool Description URL Stars CrewAI Framework for orchestrating role-playing AI agents https://github.com/joaomdmoura/crewAI 20k MetaGPT Multi-agent framework simulating a software company https://github.com/geekan/MetaGPT 40k OpenHands AI agents for software development tasks https://github.com/All-Hands-AI/OpenHands 10k Generative AI
Tools for generating text, images, and other content.
Beginner
Tool Description URL Stars Ollama Run and manage local LLMs easily https://github.com/ollama/ollama 70k Stable Diffusion WebUI User-friendly web interface for Stable Diffusion image generation https://github.com/AUTOMATIC1111/stable-diffusion-webui 130k Advanced
Tool Description URL Stars Diffusers State-of-the-art diffusion models for image and audio generation https://github.com/huggingface/diffusers 25k llama.cpp Efficient LLM inference in C/C++ https://github.com/ggerganov/llama.cpp 60k InvokeAI Creative engine for Stable Diffusion models https://github.com/invoke-ai/InvokeAI 22k Deep Learning
Libraries for advanced neural network development.
Beginner
Tool Description URL Stars fastai High-level deep learning library on PyTorch for quick results https://github.com/fastai/fastai 26k Advanced
Tool Description URL Stars JAX Composable transformations for high-performance ML https://github.com/google/jax 30k tinygrad Minimalist deep learning framework https://github.com/tinygrad/tinygrad 25k Deeplearning4j JVM-based deep learning suite for enterprise https://github.com/deeplearning4j/deeplearning4j 13k Advanced LLM Architectures
Frameworks for optimizing and architecting large language models.
Beginner
Tool Description URL Stars PEFT Parameter-efficient fine-tuning for large models https://github.com/huggingface/peft 15k bitsandbytes K-bit quantization for accessible LLMs https://github.com/TimDettmers/bitsandbytes 5k Advanced
Tool Description URL Stars vLLM High-throughput LLM inference engine https://github.com/vllm-project/vllm 25k Flash Attention Fast and memory-efficient attention mechanism https://github.com/Dao-AILab/flash-attention 12k exllamav2 Fast inference library for LLMs on consumer GPUs https://github.com/turboderp/exllamav2 6k Datasets
Top open datasets for AI exploration. Segregated by skill level.
Beginner Datasets (Small, Easy to Use)
Dataset Description URL Domain MNIST Handwritten digits for classification https://yann.lecun.com/exdb/mnist/ CV/ML Iris Flower species classification https://archive.ics.uci.edu/dataset/53/iris ML Boston Housing House price regression https://www.kaggle.com/datasets/vikrishnan/boston-house-prices ML Advanced Datasets (Large-Scale, Complex)
Dataset Description URL Domain ImageNet Large image dataset for object recognition https://www.image-net.org/ CV COCO Common objects in context for detection/segmentation https://cocodataset.org/ CV LAION-5B Massive multimodal dataset for generative models https://laion.ai/blog/laion-5b/ GenAI Common Crawl Web-scale text corpus for NLP https://commoncrawl.org/ NLP GLUE Benchmark for NLP tasks https://gluebenchmark.com/ NLP Courses
Free online courses for learning AI. Segregated by level.
Beginner Courses
Course Description URL Elements of AI Introduction to AI concepts for non-experts https://www.elementsofai.com/ Introduction to AI (Coursera) Basics of AI from IBM https://www.coursera.org/learn/introduction-to-ai Google AI Essentials Practical AI skills from Google https://grow.google/ai/ Advanced Courses
Course Description URL Deep Learning Specialization (Coursera) Advanced neural networks by Andrew Ng https://www.coursera.org/specializations/deep-learning CS224N: NLP with Deep Learning (Stanford) State-of-the-art NLP techniques https://web.stanford.edu/class/cs224n/ Reinforcement Learning (DeepMind) RL fundamentals and algorithms https://www.deepmind.com/learning-resources/reinforcement-learning-lecture-series-2021 Papers
Seminal and trending AI papers, with repositories for collections.
Beginner-Friendly Papers (Foundational)
Paper/Repo Description URL Attention Is All You Need (Transformer) Introduced Transformers for NLP https://arxiv.org/abs/1706.03762 A Few Useful Things to Know About ML Practical ML advice https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf Advanced Papers (Cutting-Edge)
Paper/Repo Description URL ML Papers of the Week Weekly curated ML papers https://github.com/dair-ai/ML-Papers-of-the-Week Awesome AI Research Papers Influential papers in AI domains https://github.com/awesomelistsio/awesome-ai-research-papers Landmark Papers in ML Key historical papers https://github.com/daturkel/learning-papers
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