open-science
Enables reproducible research workflows with built-in artifact tracking and local execution control, reducing compliance risk and eliminating vendor lock-in …
The open-source AI research workbench for scientific research and agent workflows. Local-first, model-agnostic desktop app with extensible skills, MCP tools and connectors, Python/R execution and traceable artifacts for reproducible research on macOS, Windows and Linux.
- Automate data analysis pipelines by running Python scripts directly within reproducible research workflows.
- Generate traceable research artifacts and version control experiments across multiple scientific investigations.
- Connect local research tools and AI models to build extensible agent workflows without vendor lock-in.
Enables reproducible research workflows with built-in artifact tracking and local execution control, reducing compliance risk and eliminating vendor lock-in for data-sensitive research teams.
Research teams and scientific consultants running model-agnostic experiments requiring full lineage traceability and local data governance.
https://github.com/aipoch/open-science
By aipoch
How to Get It
claude plugins install aipoch/open-science
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me automate data analysis pipelines by running Python scripts directly within reproducible research workflows
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Rescue Mission for Sci-Hub and Open Science: We are the library — Hacker News · 408 pts
- Opinion: Elsevier are corrupting open science in Europe — Hacker News · 244 pts
- Publicly funded science should be open science — Hacker News · 181 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 5,534 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 5,534 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.