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Memory Efficient Deconstructed Vectorized Dataframe Interface

Project description

MEDVeDI Build status codecov Latest Version Python Versions License

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Memory Efficient Deconstructed Vectorized Dataframe Interface.

Design goals:

  • Favor performance over nice syntax features. Sacrifice fool-proof for efficient zero-copy operations.
  • Ensure ideal micro-performance and optimize for moderate data sizes (megabytes).
  • The use-case is API server code that you write once and execute many times.
  • Try to stay compatible with the Pandas interface.
  • Rely on numpy.
  • Frequently release GIL and depend on native extensions doing unsafe things.
  • Test only CPython and Linux.
  • Support only x86-64 CPUs with AVX2.
  • Support only Python 3.10+.
  • 100% test coverage.
  • Be opinionated. Reject extra features.

Unless you know what you miss, you should be better with regular Pandas.

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