# mara/mara-pipelines

A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow

Repository: https://github.com/mara/mara-pipelines
Canonical: https://ross.abutalabs.com/products/mara-pipelines
Language: Python
License: MIT
License Family: permissive
Topics: etl, data-integration, python, postgresql, pipeline, data
Last push: 2023-12-15T16:14:47+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3077, "days_push": 992, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2089, forks 101 (observed 2026-08-28T04:06:12.214184+00:00)

## What it is
Mara Pipelines is a lightweight, opinionated ETL/ELT framework for Python that sits between plain scripts and Apache Airflow. Pipelines are defined as declarative Python code, executed on a single machine with multiprocessing, using PostgreSQL as the data processing engine and a web UI for inspecting and debugging runs.

## Use cases
- build simple etl pipelines in python without airflow
- orchestrate sql-based data transformations with postgresql
- run data integration pipelines on a single machine
- define data pipelines as code with dependency management
- monitor and debug pipeline runs in a web ui
- replace cron scripts with a lightweight pipeline framework

## When to choose
- you want a simpler alternative to Apache Airflow for small-to-medium pipelines
- your data processing is PostgreSQL-centric
- you run pipelines on a single machine and don't need distributed scheduling
- you prefer declarative Python pipeline definitions with a web UI

## When to avoid
- you need distributed execution across a cluster
- you need Windows-native execution (requires Docker or WSL)
- you need engines other than PostgreSQL for data processing
- you need a framework with frequent releases and active development

## Facets
- artifact type: framework
- maturity: maintenance
- function: etl, workflow-automation, scheduling, cli
- domain: databases, developer-tools
- platform: python
- tags: elt, data-pipelines, postgresql, pipeline-orchestration, lightweight, web-ui, data-engineering, automation, linux, macos, docker

## Member repositories
- mara/mara-pipelines (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:12.214184+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 2026-08-30T02:55:38.957903+00:00, confidence not recorded.
  - readme: https://github.com/mara/mara-pipelines (fetched 2026-08-28T04:06:12.214184+00:00, sha c7b7c1a1aec6)
  - registry_pypi: https://pypi.org/pypi/mara-pipelines/json (fetched 2026-08-29T10:35:24.150875+00:00, sha 0fafbb44b6b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.