# meltano/meltano

Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.

Repository: https://github.com/meltano/meltano
Canonical: https://ross.abutalabs.com/products/meltano
Homepage: https://meltano.com/
Language: Python
License: MIT
License Family: permissive
Topics: dataops, dataops-platform, elt, open-source, opensource, data, pipelines, extract-data, meltano, meltano-sdk, connectors, integration, tap, taps, target, targets, loaders, data-pipelines, singer, data-engineering
Last push: 2026-08-26T15:18:24+00:00

## Health v2 (maintenance only)
Score: 97/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 94, longevity 100
- inputs: {"age_days": 1899, "days_push": 7, "days_rel": 42, "gap_med": 8.0, "n_releases_24m": 37}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2610, forks 263 (observed 2026-08-28T04:07:04.252646+00:00)

## What it is
Meltano is an open-source, declarative, code-first data integration engine and CLI for building and running ELT pipelines. It orchestrates 600+ pre-built Singer-based extractors (taps) and loaders (targets) to move data from SaaS apps, APIs, files, and databases into warehouses, lakes, and vector stores, with built-in support for environments, scheduling, and dbt transformations.

## Use cases
- extract and load data from SaaS APIs and databases into a data warehouse
- build declarative ELT pipelines as code with meltano.yml
- self-host a data integration stack with 600+ connectors
- schedule and orchestrate recurring data pipelines with environments for dev and prod
- run dbt transformations alongside extract and load jobs
- build custom Singer taps and targets with the Meltano SDK
- replace expensive row-based ETL tools like Fivetran with a self-managed alternative

## When to choose
- you want a code-first, Git-managed alternative to Fivetran or Airbyte with no per-row pricing
- your team has DevOps capacity and wants full control self-hosting data pipelines
- you need to connect many SaaS tools, REST APIs, and databases using the Singer connector ecosystem
- you want pipeline configuration, environments, and deployment managed declaratively in one project
- you need to integrate dbt transformations and testing into the same ELT workflow

## When to avoid
- you need a fully managed service with zero infrastructure to maintain and no in-house DevOps
- your source or destination has no existing Singer tap or target and you cannot build one
- you only need a one-off data sync without ongoing pipeline management
- you require a GUI-first experience rather than a CLI-driven workflow

## Facets
- artifact type: framework
- maturity: stable
- function: etl, cli, workflow-automation, scheduling, configuration-management, developer-tools
- domain: data-science, analytics, big-data, self-hosted, developer-tools
- platform: python, cli, self-hosted, cross-platform
- tags: elt, dataops, singer, taps, targets, connectors, data-pipelines, extract-load, dbt, declarative-configuration, meltano-hub, meltano-sdk, data-integration, pipeline-orchestration, code-first, open-source, data-engineering, automation, docker

## Member repositories
- meltano/meltano (main) score 97

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:04.252646+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 2026-08-30T02:20:53.638078+00:00, confidence not recorded.
  - readme: https://github.com/meltano/meltano (fetched 2026-08-28T04:07:04.252646+00:00, sha df1afbb03d29)
  - homepage: https://meltano.com/ (fetched 2026-08-29T10:03:48.065772+00:00, sha d295f0e64afe)
  - site_page: https://docs.meltano.com/ (fetched 2026-08-29T10:03:48.077700+00:00, sha 749442307f3f)
  - site_page: https://meltano.com/about (fetched 2026-08-29T10:03:48.079624+00:00, sha c768ade5fa36)
  - registry_pypi: https://pypi.org/pypi/meltano/json (fetched 2026-08-29T10:03:48.083615+00:00, sha 7f47e4d97f8d)
  - site_page: https://meltano.com/pricing (fetched 2026-08-29T10:03:48.075377+00:00, sha 270c118c8a99)
  - site_page: https://meltano.com/pricingcalculator (fetched 2026-08-29T10:03:48.081445+00:00, sha dad6f6a1ff6d)
- Data as of 2026-08-30T08:39:29.467469+00:00.