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scikit-dataaccess 1.9.4.post1

Scikit Data Access Package for accessing scientific data sets.

Advantages of skdaccess

  • API to import a data generator + function to get next data chunk (configurable)
  • Eliminates the need to create parsers for each data set and simplifies the construction of scientific data processing pipelines.
  • Enables studies involving data fusion and cross-comparisons from several sources.
  • Skip parser development, dealing with physical file formats, etc.
  • Can be used to download data locally or to a cloud node (e.g., Amazon Cloud). This feature simplifies distributing entire data sets or partitions of data to the cloud, and enables parallel processing in cloud computing environments.
  • Easy expansion for more data sets in the future
  • Skdaccess code is open source (MIT License)

The package introduces a common namespace and currently supports the following data sets:

  • Light curves from Kepler
  • Water depth from wells in California obtained from the USGS
  • GPS time series data from the UNAVACO Plate Boundary
  • Grace Tellus Monthly Mass Grids from JPL


pip install scikit-dataaccess
File Type Py Version Uploaded on Size
scikit-dataaccess-1.9.4.post1.tar.gz (md5) Source 2017-08-11 1MB