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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.
Facts
| Fact | ai4s-research/open-science Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills. | aipoch/open-science 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. |
|---|---|---|
| Stars | 2,096 | 5,525 |
| Net stars, last 30 days | +306 | +701 |
| Largest star day | +129 on Jul 9, 2026 | +267 on Sep 6, 2026 |
| Milestone reached in the record | 1,000 on Jul 28, 2026 | 5,000 on Oct 16, 2026 |
| Forks | 231 | 557 |
| Language | TypeScript | TypeScript |
| License | Other license | APACHE-2.0 |
| Created | Jul 3, 2026 | Jul 3, 2026 |
| Last push | Nov 11, 2026 | Nov 14, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 2 of 4 checks (2 without data) |
| Health facts: Releases | 2 of 3 checks (1 without data) | 2 of 3 checks (1 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 12, 2026 | Nov 10, 2026 |
Topics that all of them have on the Repository Host: ai-agent, ai-for-science, desktop-app, local-first, mcp, open-science, reproducible-research, research-tools, scientific-research. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined