# 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.

- ★ 4,018
- TypeScript
- GitHub Trending · 2026-09-07

## 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
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

## Links
- GitHub repository →
- Read in Turkish →

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Source: TreScout Discover · https://trescout.com/en/discover/open-science/