https://github.com/datajoint/datajoint-python

Relational data pipelines for the science lab
https://github.com/datajoint/datajoint-python

cloud-computing data-analysis data-pipelines databases datajoint mysql pipeline-framework python relational-algebra relational-databases relational-model s3 scientific-computing workflow-management

Last synced: 12 days ago
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Relational data pipelines for the science lab

• Host: GitHub
• URL: https://github.com/datajoint/datajoint-python
• Owner: datajoint
• License: lgpl-2.1
• Created: 2012-09-19T03:50:15.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2025-04-02T00:45:14.000Z (25 days ago)
• Last Synced: 2025-04-14T22:16:11.180Z (12 days ago)
• Topics: cloud-computing, data-analysis, data-pipelines, databases, datajoint, mysql, pipeline-framework, python, relational-algebra, relational-databases, relational-model, s3, scientific-computing, workflow-management
• Language: Python
• Homepage: https://datajoint.com/docs
• Size: 19.1 MB
• Stars: 175
• Watchers: 18
• Forks: 86
• Open Issues: 38
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE.txt

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README

        
# 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

![pipeline](https://raw.githubusercontent.com/datajoint/datajoint-python/master/images/pipeline.png)

[Yatsenko et al., bioRxiv 2021](https://doi.org/10.1101/2021.03.30.437358)

## Getting Started

- Install with Conda

     ```bash

     conda install -c conda-forge datajoint

     ```

- Install with pip

     ```bash

     pip install datajoint

     ```

- [Documentation & Tutorials](https://datajoint.com/docs/core/datajoint-python/)

- [Interactive Tutorials](https://github.com/datajoint/datajoint-tutorials) on GitHub Codespaces

- [DataJoint Elements](https://datajoint.com/docs/elements/) - Catalog of example pipelines for neuroscience experiments

- Contribute

  - [Contribution Guidelines](https://datajoint.com/docs/about/contribute/)

  - [Developer Guide](https://datajoint.com/docs/core/datajoint-python/latest/develop/)