Open-Source Data Workspace Powered by Dbt and Airbyte

In plain words

This is an open-source data workspace that combines dbt and Airbyte to help developers and data teams manage data pipelines and transformations. It provides tools for extracting, loading, and transforming data within a unified environment. The workspace is built for technical users who need to orchestrate data workflows and maintain code-based data infrastructure. The project is available on GitHub for developers to use and contribute to.

written from the facts on this page · September 2026

From the sources

Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial

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  I built an open-source data pipeline tool in Go2024 · github.com · ▲200

  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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