libdataframe - Portable DataFrames in C and C++

libdataframe is an in-progress library for performing in-memory, structured data analysis: essentially a column-store equivalent to sqlite for use in ad-hoc data analysis and visualization. We started project after finding no easy portable equivalent to Pandas or R dataframes.

Basic Goals:

• Easy-to-read structured datasets and analysis from some on-disk format, such as CSV.
• Robust and natural timeseries analysis
• Easy to decoding/encoding to other formats (CSV, HDF5, Parquet, Apache Arrow), but as separate libraries.
• Fast, performant, well-tested, and well-understood
• Written to C++, but portable to other languages: easy FFI for compiled and interpreted languages via C bindings (as a starting point: Python and Javascript)
• FFI-based interpreted language bindings should be usable from interactive programming environments such as Jupyter notebooks.

Distant, or Explicit Non-Goals:

• Avoiding crazy C++ template metaprogramming and smart expression template techniques
• No hipster technologies or languages
• Streaming writes or analysis on streams
• SQL standard, SQL interpreter interface
• Protocol Buffer, Thrift, JSON, etc. ingest interfaces
• Interop with other systems (i.e., Apache Arrow’s approach to zero-copy between differing Apache big data projects., etc.)

See the rest on Github.