← Discover
Discover · GitHub · Open Science↑ +146 today

AI workspace for scientific research

Developed by AIPOCH, Open Science offers a local-first and model-agnostic AI workspace for scientific research. The software combines Python and R notebooks with data connections, enabling scientific processes to be conducted in a reproducible manner.

Updates

  • September 7, 2026: Stars 4,015 → 4,018, latest release v0.26.0 (September 7, 2026).

What you get

  • Perform reproducible scientific analyses by running Python and R code
  • Create automated reports, tables, and charts by connecting to scientific data sources
  • Manage the entire process from literature review to simulation with local-first AI agents

Installation

Local installation from source code
git clone https://github.com/aipoch/open-science.git
cd open-science
npm install
npm run dev
Web interface development mode
npm run build:web
npm run dev:web

If you don't write code

🤖 Paste this into your AI agent (Claude Code · Codex · Antigravity)

Assist me in my scientific research process. Support me by writing Python or R code during literature reviews, hypothesis development, and data analysis processes. Understand my research goals and, by reading files, searching the web, and querying scientific data, produce traceable results, tables, and charts.

Related dictionary terms

Local-firstArtificial Intelligence
Who it is forDesigned for researchers and scientists who want to make their scientific research reproducible, automate data analyses, and track literature in an AI-powered workspace.
LicenseApache-2.0

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-09-07: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.