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.
DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
A simple GUI wrapper to automate the conversion of extracted PS5 pkg files to a native windows executable using Relinker from AnyPS5
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Apache Superset is a Data Visualization and Data Exploration Platform
scikit-learn: machine learning in Python
Deep Learning for humans
A collection of learning resources for curious software engineers
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit โ A faster way to build and share data apps.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. ๐ Star to support our work!
๐ซ Industrial-strength Natural Language Processing (NLP) in Python
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
๐ธ๏ธ Web apps in pure Python ๐
Data Apps & Dashboards for Python. No JavaScript Required.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
matplotlib: plotting with Python
A reactive notebook for Python โ run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! ๅผๆบ่ดข็ปๆฐๆฎๆฅๅฃๅบ
Best Practices on Recommendation Systems
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
An orchestration platform for the development, production, and observation of data assets.
๐ฆ Data Versioning and ML Experiments
A computer algebra system written in pure Python
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. ๐https://aka.ms/RD-Agent-Tech-Report
Statistical data visualization in Python
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
Always know what to expect from your data.
Low-code framework for building custom LLMs, neural networks, and other AI models
Statsmodels: statistical modeling and econometrics in Python
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Fast and Accurate ML in 3 Lines of Code
Build, Manage and Deploy AI/ML Systems
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A unified framework for machine learning with time series
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
Perform data science on data that remains in someone else's server
A python library for user-friendly forecasting and anomaly detection on time series.
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
High accuracy RAG for answering questions from scientific documents with citations
ModelScope: bring the notion of Model-as-a-Service to life.
A collection of machine learning examples and tutorials.
๐ง Build, run, and manage data pipelines for integrating and transforming data.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
โก TabPFN: Foundation Model for Tabular Data โก
OpenCompass is an LLM evaluation platform, supporting a wide range of models from OpenAI, Anthropic, Gemini, Qwen, GLM, DeepSeek, etc, across 100+ datasets covering knowledge, reasoning, coding, science, language, long-context, and safety.
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
Python Data. Leaflet.js Maps.
The Open Source Feature Store for AI/ML
Data processing for and with foundation models! ๐ ๐ ๐ฝ โก๏ธ โก๏ธ๐ธ ๐น ๐ท
๐ฉ Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
๐ A curated list of papers for Software Engineers
Aim ๐ซ โ An easy-to-use & supercharged open-source experiment tracker.