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).
Install with Conda
conda install -c conda-forge datajoint
Install with pip
pip install datajoint
Interactive Tutorials on GitHub Codespaces
DataJoint Elements - Catalog of example pipelines for neuroscience experiments
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FAQs
A relational data pipeline framework.
We found that datajoint demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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