DigUp
What it does
An editorial selection.
On-device semantic search over your photos, PDFs, documents, recordings, videos and code, using EmbeddingGemma 2.
Why it is listed
Find a file by what's in it ("dog on a beach") with nothing leaving your Mac. Very new (18 days).
GitHub describes it as: Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.
Counts were observed on 27/10/2026, 23:15:40 UTC. Observations older than 36 hours are excluded from current movement rankings.
Repository at a glance
- Stars
- 5,921
- Forks
- 460
- Open issues
- 47
- Merged PRs
- 10
- Commits, last 30 days
- 204
- Stars, 7 days
- unavailable
- Stars, 30 days
- unavailable
Counts observed on 27/10/2026, 23:15:40 UTC. Growth uses complete dated windows; see Methodology.
History
Project details
Explore and get started
Use the project's own documentation for supported platforms, dependencies and installation steps. The README and release notes are maintained by ARahim3.
- Read the README and setup instructionsFeatures, prerequisites, examples and documentation links.
- Browse releases and changelogsPublished versions and the changes made between releases.
- Check licence and usage termsMIT is the licence reported by GitHub; read the repository terms before use.
- Read pull requestsProposed changes and development discussions.
- Browse reported issuesKnown problems, feature requests and maintainer responses.
Development context
These are observations of work in the repository. They do not establish quality, security or support commitments.
- Total commits on default branch
- 204
- Open pull requests
- 9
- Closed issues, lifetime
- 59
- Median time to close an issue
- 6.2 days
- Median time to merge a pull request
- 6.5 days
Close and merge times use up to 20 most recently updated closed issues or merged pull requests. They omit unresolved work and are context, not a maintenance score. Sample limits.
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