mage-ai/mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data. observed · 2026-08-28
Health v2 · maintenance only
78/100
- Activity 97
- Release rhythm 42
- Longevity 100
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: 115
- age_days: 1570
- days_rel: 224
- days_push: 20
- n_releases_24m: 6
Adoption not part of the score
8814 stars · 990 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Mage OSS is a self-hosted data pipeline tool for building, running, and orchestrating ETL/ELT workflows in a notebook-style UI using Python, SQL, or R. It includes prebuilt connectors, cron scheduling, visual debugging, and integrations with Spark and dbt, with a commercial Mage Pro tier for enterprise scale.
Use cases
- build etl pipelines with python and sql
- schedule data pipeline jobs with cron
- orchestrate data transformations between databases and warehouses
- self-hosted airflow alternative for data pipelines
- integrate stripe salesforce and bigquery data
- run dbt and spark jobs in a visual pipeline tool
- debug data pipelines with live previews and logs
When to choose
- you want a notebook-style visual UI for building modular data pipelines
- you need self-hosted orchestration with scheduling, retries, and backfills
- your team works in Python, SQL, or R and wants prebuilt data connectors
When to avoid
- you need only lightweight cron scheduling without a pipeline UI
- you require enterprise features like RBAC and multi-tenant workspaces, which are in the paid Mage Pro tier
- your pipelines are purely streaming with sub-second latency requirements
Facets
application · maturity active
etl workflow-automation scheduling data-science monitoring developer-tools analytics self-hosted developer-tools python self-hosted cross-platform data-pipelines orchestration elt reverse-etl notebook-ui dbt spark data-integration airflow-alternative data-engineering automation docker web-server
6 sources
- readme: https://github.com/mage-ai/mage-ai · fetched 2026-08-28 · ad7ff9b2c231
- homepage: https://www.mage.ai · fetched 2026-08-29 · 34ccb01cca88
- site_page: https://www.mage.ai/docs · fetched 2026-08-29 · 7d58a3695856
- site_page: https://www.mage.ai/integrations · fetched 2026-08-29 · dee352df8107
- site_page: https://www.mage.ai/pricing · fetched 2026-08-29 · 5dd3aae0f281
- site_page: https://www.mage.ai/explore · fetched 2026-08-29 · 5d47d8ebd211
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mage-ai/mage-ai | main | 78 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem