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.
A standardised malware analysis report template with a JSON Schema and Markdown format mapped to MITRE ATT&CK. Validate, share and compare reports consistently. Part of ThreatBytes.
A writing skill for clear research arguments, complete manuscripts and focused revisions. Includes a standalone Chinese prompt.
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
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
:zap: A Fast, Extensible Progress Bar for Python and CLI
Download market data from Yahoo! Finance's API
π€ The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Open standard for machine learning interoperability
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Statistical data visualization in Python
Parallel computing with task scheduling
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Always know what to expect from your data.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A terminal spreadsheet multitool for discovering and arranging data
A modern Python package and dependency manager supporting the latest PEP standards
π© Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
the portable Python dataframe library
VoilΓ turns Jupyter notebooks into standalone web applications
A treasure chest for visual classification and recognition powered by PaddlePaddle
π :bar_chart: :bulb: Orange: Interactive data analysis
Python tools for geographic data
A functional standard library for Python.
Time series forecasting with PyTorch
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
Produce redistributable builds of Python
A light-weight, flexible, and expressive statistical data testing library
N-D labeled arrays and datasets in Python
Open-source Python challenge courses β your AI coding agent teaches, verify.py decides when you're done.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Tools to support converting a Python project into a standalone native application.
HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.
Private source preview: native Jianying drafts, isolated editing/export, and standalone Agent Skill.
Make awesome display tables using Python
Useful extensions to the standard Python datetime features
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
Apache Ossie, industry wide specification effort to standardize how we exchange semantic metadata across analytics, AI and BI platforms, providing a vendor neutral, single source of truth for semantic data
The OWASP MASVS (Mobile Application Security Verification Standard) is the industry standard for mobile app security.
A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
Privacy and security enhanced releases of Chromium for GrapheneOS. Vanadium provides the WebView and standard user-facing browser on GrapheneOS. It depends on hardening in other GrapheneOS repositories and doesn't include patches not relevant to the build targets used on GrapheneOS.
Nix User Repository: User contributed nix packages [maintainer=@Pandapip1]
Statistical package in Python based on Pandas
Dockerized iCloud Client - make a local copy of your iCloud documents and photos, and keep it automatically up-to-date.
Open Source AI Accelerator Research Platform Standard / εΌζΊζ¨ηη η©ΆεΉ³ε°
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
Python AutoML for Trading Systems and Sports Betting
Lightweight and extensible compatibility layer between dataframe libraries!
β οΈ Experimentelle Skill-Sammlung fΓΌr deutsches Recht (Arbeits-, Gesellschafts-, Insolvenz-, Datenschutz-, Prozessrecht u.a.) β inzwischen verbessert und im Alltag getestet, aber weiterhin Experiment. Bitte selber ausprobieren, Issues/PRs willkommen! Keine Rechtsberatung. Mandatsgeheimnis (Β§Β§ 203/204 StGB, Β§ 43e BRAO), DSGVO, US-Transfer, KI-VO & Co
Optimized Agentic and LLM Bulk Processing Over Your Data
Spec-Driven Development with organizational governance. Specs tell AI agents what to build; Charter governs how they build it. Git-native missions, enforceable workflows, and consistent engineering standards across AI coding agents and harnesses.
High-quality implementations of standard and SOTA methods on a variety of tasks.
Automatically convert video files to a standardized format with metadata tagging to create a beautiful and uniform media library
A cross platform way to express data transformation, relational algebra, standardized record expression and plans.
Creates standalone executables from Python scripts with the same performance as the original script. It is cross-platform and should work on any platform that Python runs on.
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Clean APIs for data cleaning. Python implementation of R package Janitor