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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: 3 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 (about 12 years ago)
Default Branch: master
Last Pushed: 2024-09-23T17:48:30.000Z (10 days ago)
Last Synced: 2024-09-26T01:34:04.854Z (8 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: 17.4 MB
Stars: 168
Watchers: 16
Forks: 83
Open Issues: 124
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE.txt

Awesome Lists containing this project

README

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# 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](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

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

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