hosseinmoein/DataFrame

Health v2 · maintenance only

Adoption not part of the score

2981 stars · 359 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A high-performance, templatized C++ library providing a heterogeneous DataFrame container for in-memory data exploration, transformation, and statistical analysis, comparable to Python's Pandas or R's data.frame. It includes a large collection of built-in statistical, financial, and machine-learning algorithms as visitors, with extensive multithreading for large datasets.

Use cases

• analyze tabular data in C++ like pandas
• compute trading indicators and financial statistics
• run statistical analysis on large datasets in C++
• group-by, join, pivot, and slice heterogeneous column data
• perform PCA, FFT, and polynomial fitting on data columns
• build ML pipelines without Python overhead

When to choose

• you need pandas-like data manipulation in pure C++
• you process large datasets and want multithreaded performance
• you need built-in statistical, financial, or ML algorithms in C++
• you want a BSD-licensed, dependency-light analytics library

When to avoid

• you need a rich plotting or notebook ecosystem
• your team primarily works in Python or R
• you need distributed/out-of-core processing beyond a single machine

Facets

library · maturity active

data-science machine-learning math etl data-science machine-learning fintech big-data cpp cross-platform dataframe tabular-data statistical-analysis financial-analysis pandas-alternative multithreaded in-memory-analytics

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