DataJoint
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- United States of America
- https://datajoint.com
- @datajoint
- info@datajoint.com
DataJoint is a Python framework for scientific data pipelines built on the Relational Workflow Model—a paradigm where your database schema is an executable specification of your workflow.
In this GitHub Organization, you will find the source code for DataJoint, as well as tutorials and example pipelines.
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Install with pip
pip install datajoint
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Install with Conda
conda install -c conda-forge datajoint
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Documentation - Tutorials, how-to guides, explanations, and API reference
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Migration Guide - Upgrading to DataJoint 2.0
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DataJoint Elements - Reusable pipeline modules for neurophysiology experiments
DataJoint 2.0 is a major release with significant improvements. Existing pipelines require migration—see the Migration Guide for upgrade instructions.
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Repositories
- datajoint-python Public
Relational Workflows: where database schemas define executable data pipelines.
- neurocorr-dash Public
A dashboard for the neurocorr pipeline: noise correlations in mouse visual cortex (Yatsenko et al., 2015)
- neurocorr Public
Improved estimation and interpretation of correlations in neural circuits (Yatsenko et al., 2015), as a DataJoint pipeline
- nginx-docker Public
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