#1 Product of the week · Launched May 20, 2025
mu-pipelines

mu-pipelines

Open Source Lego like ETL Tool

FreeAI Agents16,015 impressions#1 of its week

Our product is a configuration-driven open source ETL platform where pipelines are defined in simple JSON files—or written in plain English and converted by our AI. It supports ingestion, transformation, data quality, and alerts, with no need for complex architecture or multiple tools. Engineers can mix and match prebuilt "Lego-like" connectors or bring their own code. They choose their runtime (e.g., Python or Spark), infrastructure (on-prem or cloud), sources, destinations, secrets and much more. For migration, users can upload legacy code (SSIS, Informatica, SAS) and our AI agent converts it into clean JSON configurations. Validation blocks help test legacy vs. modern output, once or on a schedule.

Mu-Pipelines is an open-source, configuration-driven ETL platform that builds data pipelines from JSON or plain English.

for
Data engineers and developers who need flexible, code-light ETL/ELT pipelines.
pricing
open source
license
open source
Mosaicsoft-data/mu-pipelines-examples 0 0Pythonupdated 2 years ago
works withAirflowPythonSparkMySQLSalesforceSnowflakeS3

Key features

6 features of mu-pipelines
  • Modular Architecture — Assemble pipelines from reusable LEGO-like components and built-in connectors.
  • JSON Configuration — Define entire pipelines in a simple, readable JSON file.
  • Cloud Agnostic — Deploy pipelines on-prem, in the cloud, or hybrid environments.
  • Workflow Orchestration — Schedule and chain pipelines using orchestrators like Airflow or ctl-M.
  • AI-Powered Migration — Convert legacy SSIS, Informatica, or SAS jobs into JSON configs via AI.
  • Rapid Development Kits — Pre-built solution kits accelerate common use-case implementations.

Use cases

  • Migrate legacy ETL jobs (SSIS, Informatica, SAS) to modern JSON pipelines
  • Build end-to-end data ingestion-transform-load flows without writing code
  • Schedule and orchestrate dependent pipelines with Airflow or ctl-M
  • Deploy the same pipeline on-prem or in any cloud provider

mu-pipelines FAQ

How are pipelines defined in Mu-Pipelines?+

Pipelines are described in a JSON file or written in plain English and converted to JSON by the built-in AI.

Can I use my own code in a pipeline?+

Yes, you can extend any component with custom code to meet specific business needs.

What runtimes does Mu-Pipelines support?+

You can choose runtimes such as Python or Spark for execution.

Is Mu-Pipelines cloud-agnostic?+

Yes, it can be deployed on-premises, in any cloud, or in hybrid environments.

How does migration from legacy ETL tools work?+

An AI agent parses legacy SSIS, Informatica, or SAS jobs and generates equivalent JSON configurations, with validation blocks to compare outputs.

Summarized by DevHunt from mosaicsoft.net · Sep 29, 2026. Details may change; check the official site.