synthetic-sciences/openscience
The open-source AI workbench for scientific research
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #424 of 3,103 repositories GStars tracks this week (top 14%).
5 releases in the last 90 days, the latest today, with 17 contributors on GitHub.
Use Cases & Benefits
- Provides an open-source AI workbench that automates scientific research tasks by reading literature, running code and experiments, and documenting results transparently.
- Enables full visibility and control over every research step with real tools, local or remote compute, and extensive domain-specific skills across sciences.
- Use for automating literature review and evidence gathering to accelerate hypothesis validation in biology, chemistry, or physics research.
- Use for reproducing scientific experiments and analyses with traceable code execution and data handling to ensure research reproducibility.
- Use for integrating AI-driven workflows in bioinformatics or machine learning projects using bundled skills and connectors to scientific databases.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
The open-source AI workbench for scientific research.
Give it a goal. It reads the literature, writes and runs the code, runs the experiments, and writes up what it found, with every step on the record.
OpenScience is a research agent with a workbench around it. You describe the task in plain language; it plans, gathers evidence, runs code and experiments, and hands back results you can check. It runs as a desktop app, a browser workspace, or a terminal command, on your machine, against your files.
It is built for the parts of research that are real work but not the idea: pulling and cleaning data, reproducing a claim, sweeping a parameter, drafting the methods section, checking a reference. You keep the idea and the judgment.
Desktop app. Download for macOS, Windows or Linux. It updates itself.
Command line and browser workspace.
Or with the standalone installer on macOS and Linux:
Then open Customize → Models and connect a provider, or from the terminal:
The installation guide covers platform details, updates and uninstalling.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+198 stars over 18 days across 3 snapshot days; best day +5 on Oct 2.
Forks
529+13
Open issues
0-48
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| morluto/rea | 378.8K | +88.2K | 75 | 6 days ago |
| DietrichGebert/ponytail | 175.5K | +9.9K | 75 | 8 days ago |
| stablyai/orca | 105.0K | +9.5K | 75 | today |
| affaan-m/ECC | 288.1K | +6.4K | 75 | 23 days ago |
| Leonxlnx/taste-skill | 101.6K | +3.8K | 75 | 3 days ago |
| synthetic-sciences/openscience | 4.1K | +0 | 75 | today |
| Category median | 175.5K | +9.5K | 75 | — |
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