1.public-apis / public-apis
A collective list of free APIs
Ranked by Attention Score: stars gained over the last 30 complete days
1–100 of 353 by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
A collective list of free APIs
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
The AI-native JSON Gantt chart engine. Dependency-free interactive timelines with React, script-tag, CLI, topological DAG solver, and formal JSON schema.
18 Lessons to Get Started Building AI Agents
21 Lessons, Get Started Building with Generative AI
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
An Open Source implementation of Notebook LM with more flexibility and features
12 Weeks, 24 Lessons, AI for All!
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
DuckDB is a high-performance analytical database system
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Animated, explorable diagrams for Claude and other coding agents, from a short JSON spec.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Umami is a privacy-first web and product analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place. No cookies, no surveillance, self-hosted or in the cloud.
A topic-centric list of HQ open datasets.
Examples and guides for using the OpenAI API
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
EvoOntology: A Self-Evolving Ontology Layer for Data Agents ⚙️ EvoOntology插件为Claude Code/Codex 建立&进化本体层
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Interactive, source-linked ML workflow diagrams written by your coding assistant (Copilot, Codex or Claude Code) and opened in VS Code.
10 Weeks, 20 Lessons, Data Science for All!
FinRL®: Financial Reinforcement Learning. 🔥
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
Extremely fast Query Engine for DataFrames, written in Rust
The HTML5 Creation Engine: Create beautiful digital content with the fastest, most flexible 2D WebGL renderer.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Agent skill for creative 3D visualization: turn an idea into a Three.js/Blender scene worth exploring. Claude Code + Codex plugin, 223 recipes, 440 knowledge records, 22 proved kits, 37 runnable studies.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
:memo: An awesome Data Science repository to learn and apply for real world problems.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A High-Quality Real Time Upscaler for Anime Video
PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated) │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image │ generation.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
🦋 An Infographic Generation and Rendering Framework, bring words to life with AI!
100 numpy exercises (with solutions)
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Visualizer for neural network, deep learning and machine learning models
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
WebGL2 powered visualization framework
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Large list of handpicked color names 🌈
💫 Industrial-strength Natural Language Processing (NLP) in Python
Roadmap to becoming an Artificial Intelligence Expert in 2022
Simple HTML5 Charts using the <canvas> tag
Redefined chart library built with React and D3
VIP cheatsheets for Stanford's CS 229 Machine Learning
📈 A small, fast chart for time series, lines, areas, ohlc & bars
Faker is a Python package that generates fake data for you.
A game theoretic approach to explain the output of any machine learning model.
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
A curated list of awesome big data frameworks, ressources and other awesomeness.
Best Practices on Recommendation Systems
♾ A Graph Visualization Framework in JavaScript.
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
The interactive graphing library for Python :sparkles:
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
12 Weeks, 24 Lessons, IoT for All!
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Automatic extraction of relevant features from time series:
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
YSDA course in Natural Language Processing
Fast Markdown note-taking app for Mac and iPhone
Data Apps & Dashboards for Python. No JavaScript Required.
Learning Convolutional Neural Networks with Interactive Visualization.
Infinite canvas drawing/whiteboarding app for Windows, Linux and macOS. Made with Godot.
3D visualization and mesh analysis for science and engineering
A MNIST-like fashion product database. Benchmark :point_down:
Deprecated in favour of Video.js 10; security fixes only until January 2028. UI components and hooks for building video and audio players on the web.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A guidance language for controlling large language models.
Composable Svelte chart components to build a large variety of visualizations
A JavaScript library aimed at visualizing graphs of thousands of nodes and edges
QLoRA: Efficient Finetuning of Quantized LLMs
A collection of various deep learning architectures, models, and tips