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Data / Repositories / Data engineering / Python

Python Data engineering repositories on GitHub: 4 ranked by stars

4 public Python repositories tagged Data engineering are on GitHub, with 38,942 stars between them; 4 had a push in the last 30 days. The most starred: PrefectHQ/prefect (24,019), semantica-agi/semantica (14,039), dbt-labs/dbt-mcp (608).

SpecStream is the live web data engine for teams and agents. It reads open-source repositories on GitHub and keeps what it reads, and this page groups that reading by topic. Ask for the repositories you track by topic, language, license or activity, and new ones and changes arrive in your sheet, CRM, Slack or agent.

Every repository, most starred first

RepositoryWhat it isStarsForksLicenseLast pushRead
PrefectHQ/prefectPrefect is a workflow orchestration framework for building resilient data pipelines in Python.24,0192,577Apache-2.0Oct 13Oct 14
semantica-agi/semanticaGraph-Native Infrastructure for Context and Accountable AI Systems14,0391,630MITOct 14Oct 14
dbt-labs/dbt-mcpA MCP (Model Context Protocol) server for interacting with dbt.608138Apache-2.0Oct 14Oct 14
jddevtime/open-lakehouse-compute-fabricOpen Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.276275Apache-2.0Oct 19Oct 21

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Every Data engineering repository

Read from GitHub by SpecStream between October 14, 2026 and October 21, 2026; each row shows the day its repository was read. Stars and pushes change every day, and the GitHub page is the current one. Forks and archived repositories are left out.