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High-performance DataFrame library written in C++ with Python bindings.

13 starsC++

DataFrame Library Nobody Asked For

by NavodPeiris·May 27, 2026·2 points·0 comments
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AI Analysis

●MidBold Bet

Yet another DataFrame library competing against established tools like Polars.

Strengths
  • •C++ backend with multithreaded operations across all CPU cores automatically.
  • •Typed std::vector column storage eliminates Python object overhead.
  • •Claims 6x memory reduction versus Polars on large CSV loads.
Weaknesses
  • •DataFrame category saturated with Polars, Pandas, DuckDB, and Arrow.
  • •Eight stars and zero forks suggests unproven performance claims.
Category
Data
Target Audience

Python developers working with large datasets

Similar To

Polars · Pandas · DuckDB

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