diffgram/diffgram
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data. observed · 2026-08-28
Health v2 · maintenance only
62/100
- Activity 88
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2918
- days_rel: 689
- days_push: 72
- n_releases_24m: 1
Adoption not part of the score
1909 stars · 135 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Diffgram is a self-hosted AI datastore for managing schemas, BLOBs, and predictions, with built-in human supervision (data labeling), data workflow, and a UI catalog for exploring AI data. It supports annotating many media types including image, video, text, audio, 3D, geospatial, and conversational/LLM data.
Use cases
- label images and videos for training data
- annotate text and audio datasets for machine learning
- manage training data for AI apps in one place
- store and explore AI predictions with a UI catalog
- scale annotation teams with a data labeling workflow
- handle PII-compliant AI data self-hosted
- annotate 3D and geospatial data
- review and correct LLM conversational outputs
When to choose
- you need a self-hosted labeling platform across many media types
- you want an integrated datastore plus annotation workflow rather than a standalone tool
- your team needs to scale human supervision with UI-based data exploration
- you need control over sensitive or PII training data
When to avoid
- you only need a lightweight single-purpose image annotator
- you want a fully permissive open-source license (Diffgram uses its own DLv2 license)
- you need fully automated labeling without human-in-the-loop
- you prefer a managed SaaS without self-hosting overhead
Facets
application · maturity active
machine-learning data-science image-processing video-processing nlp audio-processing geospatial self-hosted machine-learning data-science computer-vision deep-learning artificial-intelligence python self-hosted cross-platform data-labeling annotation-tool training-data data-annotation human-in-the-loop ai-datastore computer-vision-annotation video-annotation text-annotation audio-annotation 3d-annotation geospatial-annotation llm-annotation dataset-management commercial-open-source natural-language-processing docker kubernetes web-server
2 sources
- readme: https://github.com/diffgram/diffgram · fetched 2026-08-28 · 92a3e2b71bb9
- homepage: https://diffgram.com · fetched 2026-08-29 · 48856ee6523e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| diffgram/diffgram | main | 62 |
For agents
markdown · JSON · MCP: product_card(name="diffgram/diffgram")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem