# geldata/gel

Gel supercharges Postgres with a modern data model, graph queries, Auth & AI solutions, and much more.

Repository: https://github.com/geldata/gel
Canonical: https://ross.abutalabs.com/products/gel
Homepage: https://geldata.com
Language: Python
License: Apache-2.0
License Family: permissive
Topics: database, edgedb, high-performance, edgeql, relational-database, graph-relational, gel
Last push: 2025-12-24T02:14:35+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 58, release rhythm 43, longevity 100
- inputs: {"age_days": 3352, "days_push": 253, "days_rel": 301, "gap_med": 59, "n_releases_24m": 6}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 14171, forks 452 (observed 2026-08-28T04:11:05.739139+00:00)

## What it is
Gel is an open-source graph-relational database built on top of Postgres, combining a strict object-type schema, the EdgeQL query language, and built-in auth, vector search, and AI/RAG features. It ships with a CLI, graphical UI, migrations engine, and typed client SDKs for Python and TypeScript, plus a managed cloud offering.

## Use cases
- model application data as object types instead of tables
- replace SQL and ORMs with a type-safe query language
- add OAuth and password login to an app without a separate auth service
- store embeddings and run RAG over my data
- run hierarchical graph-like queries without JOINs
- manage schema migrations with a modern database
- build a Next.js or FastAPI app with a typed data layer

## When to choose
- you want Postgres reliability with an object-oriented schema and composable queries
- you need integrated auth, vector search, and AI features in one data platform
- you value end-to-end type safety with generated TypeScript or Python clients
- you want a zero-config local dev experience with easy cloud deployment

## When to avoid
- your team and tooling are deeply invested in standard SQL and existing Postgres workflows
- you need a database with a long track record and broad third-party ecosystem support
- you require exotic Postgres extensions or low-level tuning not exposed by Gel
- you cannot adopt a proprietary query language (EdgeQL) alongside SQL

## Facets
- artifact type: service
- maturity: active
- function: database, orm, auth, rag, vector-database, search-engine, cli, sdk
- domain: databases, backend, web-development, developer-tools, large-language-models
- platform: windows, self-hosted, cloud, python
- tags: edgeql, graph-relational, postgres, schema-migrations, type-safety, code-generation, oauth, embeddings, linux, macos, docker, nodejs, web-server

## Member repositories
- geldata/gel (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:05.739139+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:12:45.336488+00:00, confidence not recorded.
  - readme: https://github.com/geldata/gel (fetched 2026-08-28T04:11:05.739139+00:00, sha b0b7aa9318e8)
  - homepage: https://geldata.com (fetched 2026-08-29T08:06:31.921144+00:00, sha d0d3bb2c5be4)
  - site_page: https://docs.geldata.com (fetched 2026-08-29T08:06:31.924389+00:00, sha 6cf658a95ddd)
  - site_page: https://www.geldata.com/p/quickstart-docs (fetched 2026-08-29T08:06:31.926808+00:00, sha a5593324fcb7)
  - site_page: https://docs.geldata.com/ (fetched 2026-08-29T08:06:31.931885+00:00, sha 6cf658a95ddd)
  - site_page: https://www.geldata.com/about (fetched 2026-08-29T08:06:31.934715+00:00, sha b965823c194a)
  - site_page: https://www.geldata.com/pricing (fetched 2026-08-29T08:06:31.929096+00:00, sha 91e847878e23)
- Data as of 2026-08-30T08:39:29.467469+00:00.