mara/mara-pipelines

Health v2 · maintenance only

Adoption not part of the score

2089 stars · 101 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

framework · maturity maintenance

etl workflow-automation scheduling cli databases developer-tools python elt data-pipelines postgresql pipeline-orchestration lightweight web-ui data-engineering automation linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mara/mara-pipelines")