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@TobyRoseman TobyRoseman released this 23 Sep 21:35
· 720 commits to master since this release

Scalable tabular (SFrame, SArray) and graph (SGraph) data-structures built for out-of-core data analysis.

The SFrame package provides the complete implementation of:

  • SFrame
  • SArray
  • SGraph
  • The C++ SDK surface area (gl_sframe, gl_sarray, gl_sgraph)

Some of the key features of this package are.

  • A scalable column compressed disk-backed dataframe optimized for machine learning and data science needs.
  • Designed for both tabular (SFrame, SArray) as well as graph data (SGraph)
  • Support for strictly typed columns (int, float, str, datetime), weakly typed columns (schema free lists, dictionaries) as well as specialized types such as Image.
  • Uniform support for missing data.
  • Query optimization and Lazy evaluation.
  • A C++ API (gl_sarray, gl_sframe, gl_sgraph) with direct native access via the C++ SDK.
  • A Python API (SArray, SFrame, SGraph) with an indirect access via an interprocess layer.