Ross ROSS = Recommend OSS · open-source software intelligence for agents

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

github.com/diffgram/diffgram · homepage · Python · NOASSERTION (other) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
diffgram/diffgrammain62

For agents

markdown · JSON · MCP: product_card(name="diffgram/diffgram")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem