DataForge
Distributed ETL pipeline engine.
What it does
DataForge — Distributed ETL pipeline engine built on Go The free, open ETL engine that handles data at scale — no setup hell. What it does ? -> Upload CSV → Analyze → Clean → Normalize → Deduplicate → Export Focused on: -> Go concurrency patterns -> Worker pool architecture -> Priority-based job dispatching -> Real-world ETL pipeline design
Does the same job
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Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…

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I'd like to share a project I've been working on for the past few months. It's a distributed workflow engine written entirely in Go. Some highlights: * Tasks are executed in a Docker container * Can run stand-alone or distributed * Highly extensible * Able to enforce limits (CPU/RAM) per task * Web UI Would love the get your feedback on it, and find out if this could be useful.
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Launched alongside, March 2026
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