datajoint/datajoint-python

datajoint/datajoint-python has 198 GitHub stars and 103 forks. GitHot measured 0 stars in 24 hours, +1 in 7 days, and +1 in 15 days. Last checked 2026-11-11 11:59 UTC. Last push 2026-11-05.

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Relational Workflows: where database schemas define executable data pipelines.

198 stars 103 forks

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README.md

Original

DataJoint Library for Python

The DataJoint Library is a framework for scientific data pipelines based on the Relational Workflow Model — a paradigm where your database schema is an executable specification of your workflow.

Tables represent workflow steps — Each table is a step in your pipeline
Foreign keys encode dependencies — Parent tables must be populated before child tables
Computations are declarative — Define what to compute; DataJoint handles when
Results are immutable — Full lineage and reproducibility

Documentation: https://docs.datajoint.com

📘 Upgrading from legacy DataJoint (pre-2.0)? See the Migration Guide for a step-by-step upgrade path.

PyPI		Conda		Tests
License		Citation		Coverage

Installation

pip install datajoint

or with Conda:

conda install -c conda-forge datajoint

Example Pipeline

pipeline

Cite DataJoint: Yatsenko et al., 2026 — RRID: SCR_014543

Resources

Documentation — Complete guides and reference
- Tutorials — Learn by example
- How-To Guides — Task-oriented guides
- API Reference — Complete API documentation
- Migration Guide — Upgrade from legacy versions
DataJoint Elements — Example pipelines for neuroscience
GitHub Discussions — Community support

Contributing

See CONTRIBUTING.md for development setup and guidelines.

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