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 fundamental package for scientific computing with Python.
Data Apps & Dashboards for Python. No JavaScript Required.
Parallel computing with task scheduling
Build, Manage and Deploy AI/ML Systems
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Cloud-native genomic dataframes and batch computing
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
- itk
- insight-toolkit
- jupyter
- jupyter-widget
Main yt repository
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
Autonomous multi-agent framework to optimize scientific software
Python3 script that transfers files in Google Colab 10-50x faster, using multi-threaded parallel copying between Google Drive locations.