Skip to content

Relational data pipelines for the science lab

License

Notifications You must be signed in to change notification settings

kabilar/datajoint-python

 
 

Repository files navigation

DOI Coverage Status PyPI version Slack

Welcome to DataJoint for Python!

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

pipeline

Yatsenko et al., bioRxiv 2021

Getting Started

About

Relational data pipelines for the science lab

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 99.9%
  • Dockerfile 0.1%