Metadata-Version: 2.1
Name: connectome
Version: 0.0.5
Summary: A library for datasets containing heterogeneous data
Home-page: https://github.com/neuro-ml/connectome
License: UNKNOWN
Download-URL: https://github.com/neuro-ml/connectome/archive/v0.0.5.tar.gz
Description: Connectome is a framework for datasets management with strong emphasis on simplicity, composability and reusability.
        
        # Features
        
        * Self-consistency: connectome encourages data transformations that keep entries' fields consistent
        * Caching: transformations' caching works out of the box and supports both caching to RAM and to Disk
        * Automatic cache invalidation: connectome tracks all the changes made to a dataset and automatically invalidates the
          cache when something changes, making sure that your cache is always consistent with the data
        * Invertible transformations: write consistent pre- and post- processing to build production-ready pipelines
        
        # Install
        
        The simplest way is to get it from PyPi:
        
        ```shell
        pip install connectome
        ```
        
        Or if you want to try the latest version from GitHub:
        
        ```shell
        git clone https://github.com/neuro-ml/connectome.git
        cd connectome
        pip install -e .
        
        # or let pip handle the cloning:
        pip install git+https://github.com/neuro-ml/connectome.git
        ```
        
        # Getting started
        
        You can check out our `Intro to connectome` series of tutorials [here](https://github.com/neuro-ml/connectome-tutorials)
        
        # Acknowledgements
        
        Some parts of our automatic cache invalidation machinery vere heavily inspired by
        the [cloudpickle](https://github.com/cloudpipe/cloudpickle) project.
        
Keywords: dag,dataset,cache,consistency
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.6
Description-Content-Type: text/markdown
