DataFrame
Unverified ML strategy on Multi by hosseinmoein. BotFinder score 18 out of 100.
C++ DataFrame for statistical, financial, and ML analysis in modern C++
Source: github
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DataFrame
DataFrame documentation with code samples DataFrame is a high-performance C++ library for in-memory data exploration, transformation, and statistical analysis — designed for data scientists, quant traders, and C++ developers who need efficient tabular data processing without Python overhead. This library is designed to provide similar functionalities to data manipulation and analysis tools found in other languages, such as Python's Pandas or R's data.frame. It aims to offer a robust and efficient way to handle tabular data in C++. The depth and breadth of functionalities offered by C++ DataFrame alone are greater than functionalities offered by packages such as Pandas, data.frame, and Polars combined. You can slice the data in many ways. You can join, merge, group-by, cross tabulate, pivot the data. You can run various statistical, summarization, financial, and ML algorithms on the data. You can add your custom algorithms easily. You can multi-column sort, custom pick and delete the data. And much more ... DataFrame also includes a large collection of analytical algorithms in form of
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