Scikit Data Access Package for accessing scientific data sets.
Project description
Import scientific data from various sources through one easy Python API.
Use iterator patterns for each data source (configurable data generators + functions to get next data chunk).
Skip parser programming and file format handling.
Enjoy a common namespace for all data and unleash the power of data fusion.
Handle data distribution in different modes: (1) local download, (2) caching of accessed data, or (3) online stream access
Easily pull data on cloud servers through Python scripts and facilitate large-scale parallel processing.
Build on an extensible plattform: Adding access to a new data source only requires addition of its “DataFetcher.py”.
Open source (MIT License)
Supported data sets (For updates, follow https://twitter.com/scikit_data and https://twitter.com/mithaystack)
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https://grace.jpl.nasa.gov/data/get-data/monthly-mass-grids-land |
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Install
pip install scikit-dataaccess
Documentation
User Manual: /docs/skdaccess_manual.pdf
Code documentation (Doxygen): /docs/skdaccess_doxygen.pdf
Code visualization (treemap): /docs/skdaccess_treemap.png
Code class diagrams: /docs/class_diagrams
Contributors
Acknowledgements
We acknowledge support from NASA AIST14-NNX15AG84G, NASA AIST16-80NSSC17K0125, NSF ACI-1442997, and NSF AGS-1343967.
Examples
Code examples (Jupyter notebooks) for all datasets listed above are available at: /skdaccess/examples
Project details
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