airbytehq/airbyte
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud. observed · 2026-08-28
Health v2 · maintenance only
79/100
- Activity 99
- Release rhythm 40
- 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: 32
- age_days: 2228
- days_rel: 322
- days_push: 7
- n_releases_24m: 16
Adoption not part of the score
21960 stars · 5321 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Airbyte is an open-source data movement platform providing 600+ connectors for replicating data from APIs, databases, and files into warehouses, lakes, and databases (ELT). It also offers Airbyte Agents, a context layer giving AI agents real-time access to business data via CLI, SDK, API, and MCP interfaces.
Use cases
- sync data from postgres to snowflake
- build elt pipelines from saas apis to a data warehouse
- replicate mysql database into a data lake
- give ai agents access to crm and support data
- load stripe and salesforce data into bigquery
- run self-hosted data integration with docker
- move files and api data into a warehouse on a schedule
When to choose
- you need connectors for many data sources without writing custom scripts
- you want self-hosted or cloud ELT replication into warehouses, lakes, or databases
- you're building AI agents that need governed, real-time access to business data
- you want MCP, CLI, SDK, or API interfaces to data for agent harnesses
When to avoid
- you need lightweight single-source scripts where a simple Python ETL script suffices
- you require strict OSI licensing - parts are ELv2/proprietary
- you need real-time streaming with sub-second latency rather than scheduled replication
- you can't run Docker/Kubernetes for the self-managed platform
Facets
service · maturity active
etl data-science mcp agent-framework self-hosted developer-tools big-data databases self-hosted self-hosted cloud python go cli elt data-integration connectors change-data-capture data-replication context-layer pyairbyte data-warehouse data-lake data-engineering ai-agents automation docker kubernetes web-server
9 sources
- readme: https://github.com/airbytehq/airbyte · fetched 2026-08-28 · cc70d9f49e9a
- homepage: https://airbyte.com · fetched 2026-08-29 · f48e13089e0a
- site_page: https://docs.airbyte.com/ · fetched 2026-08-29 · f6989ba08c45
- site_page: https://docs.airbyte.com/ai-agents/interfaces/cli · fetched 2026-08-29 · bb84fe5fb0aa
- site_page: https://airbyte.com/company/about-us · fetched 2026-08-29 · 5a13be540cb5
- site_page: https://docs.airbyte.com/platform/using-airbyte/getting-started/oss-quickstart · fetched 2026-08-29 · 9b23a75b8b41
- site_page: https://airbyte.com/pricing · fetched 2026-08-29 · 4e9518642f1d
- site_page: https://airbyte.com/pricing?tab=agent · fetched 2026-08-29 · 4e9518642f1d
- site_page: https://airbyte.com/pricing?tab=replication · fetched 2026-08-29 · 4e9518642f1d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| airbytehq/airbyte | main | 79 |
For agents
markdown · JSON · MCP: product_card(name="airbytehq/airbyte")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem