artifact-parser is an open-source, pluggable Python framework designed to parse artifacts from data tools like dbt-core into typed Python models. It enables data engineers and developers to automate artifact processing and integrate with analytics workflows. The framework is extensible and supports custom plugins.
In the Frameworks & SDKs space, artifact-parser takes a focused approach. It focuses on parsing and converting data tool artifacts into structured, typed Python models for further analysis or automation. artifact-parser is an open-source project aimed at data engineers and Python developers. The project is open source (MIT). The product ships for the command line, and it can be self-hosted.
artifact-parser first shipped in 2026. The project is developed in the open on GitHub with 25 commits in the last 90 days. Among its 5 catalogued features are artifact parsing, pluggable framework, and typed models.
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