Welcome to DataJoint for Python!

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DataJoint for Python is a framework for scientific workflow management based on
relational principles. DataJoint is built on the foundation of the relational data
model and prescribes a consistent method for organizing, populating, computing, and
querying data.

DataJoint was initially developed in 2009 by Dimitri Yatsenko in Andreas Tolias' Lab at
Baylor College of Medicine for the distributed processing and management of large
volumes of data streaming from regular experiments. Starting in 2011, DataJoint has
been available as an open-source project adopted by other labs and improved through
contributions from several developers.
Presently, the primary developer of DataJoint open-source software is the company
DataJoint (https://datajoint.com).

Data Pipeline Example

Yatsenko et al., bioRxiv 2021

Getting Started

• Install with Conda

  conda install -c conda-forge datajoint

• Install with pip

  pip install datajoint

• Documentation & Tutorials

• Interactive Tutorials on GitHub Codespaces

• DataJoint Elements - Catalog of example pipelines for neuroscience experiments

• Contribute

  • Contribution Guidelines

  • Developer Guide