Metadata-Version: 1.1
Name: dagpy
Version: 0.2
Summary: Data science collaboration tool based on iPython notebooks.
Home-page: https://github.com/ibestvina/dagpy
Author: Ivan Bestvina
Author-email: ivan.bestvina@gmail.com
License: MIT
Description: DAGpy
        =====
        
        DAGpy is a data science collaboration tool based on iPython notebooks enabling data science teams to:
        
        - easily collaborate by branching out of others' notebooks 
        - minimize code duplication 
        - give a clean overview of the project 
        - cache intermediate outputs so team members can use them without re-evaluation 
        - automate the process of code execution upon data changes or on schedule 
        - provide a clean interface to the data visualization dashboard designers and developers
        
        DAGpy manages a DAG (directed acyclic graph) of blocks of code, with
        each block being a sequence of iPython notebook cells, together with
        their outputs. It is designed to work seamlessly with popular VC systems
        like git and can be run locally or as a server application.
        
        Author: Ivan Bestvina
        
        
        Example project
        ---------------
        
        To play around with the example project, you can:
        
        - view the project DAG: `dagpy view`
        - run all the blocks: `dagpy execute -a`
        - add blocks through flows (with block B as a parent) and run them automatically: `dagpy makeflow B -r`
        - commit the changes: `dagpy submitflow dagpy_flow.ipynb`
        - explore other DAGpy options with  `dagpy -h`
        
        Please note that notebook execution time includes a significant overhead
        of over a second, because a kernel must be started for each one. In
        future, we plan on adding support for non-notebook plane python blocks.
        These would also be edited through a flow notebook view, but would be
        saved as .py scripts, and executed without noticable overhead.
        
        Dependencies:
        
        - python 3 
        - jupyter 
        - dill 
        - networkx, matplotlib (for DAG view)
        
Keywords: jupyter ipython collaboration dag datasci
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.4
