C++ R

Open-source C++ projects categorized as R

Top 15 C++ R Projects

  • LightGBM

    A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

    Project mention: SIRUS.jl: Interpretable Machine Learning via Rule Extraction | /r/Julia | 2023-06-29

    SIRUS.jl is a pure Julia implementation of the SIRUS algorithm by Bénard et al. (2021). The algorithm is a rule-based machine learning model meaning that it is fully interpretable. The algorithm does this by firstly fitting a random forests and then converting this forest to rules. Furthermore, the algorithm is stable and achieves a predictive performance that is comparable to LightGBM, a state-of-the-art gradient boosting model created by Microsoft. Interpretability, stability, and predictive performance are described in more detail below.

  • Rcpp

    Seamless R and C++ Integration

  • JetBrains Dev Survey

    What’s up with the C++ ecosystem in 2023? JetBrains Developer Ecosystem Survey 2023 has given us many interesting insights. The Embedded (37%) and Games (39%) industries are already working with C++20, developers are incorporating static analysis in their CI, and ChatGPT usage among coders is flourishing. Read on for more!

  • readxl

    Read excel files (.xls and .xlsx) into R 🖇

  • vroom

    Fast reading of delimited files (by tidyverse)

  • terra

    R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html (by rspatial)

  • pdftools

    Text Extraction, Rendering and Converting of PDF Documents

  • GPBoost

    Combining tree-boosting with Gaussian process and mixed effects models

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • odbc

    Connect to ODBC databases (using the DBI interface)

    Project mention: Importing data from SQL into R, with correct R data types | /r/Rlanguage | 2023-03-28

    Note: Updating my driver to a newer version improved obtaining the correct data types in the R data frame. There is more about this at https://github.com/r-dbi/odbc/issues/11

  • Rblpapi

    R package interfacing the Bloomberg API from https://www.bloomberglabs.com/api/

  • dggridR

    Discrete Global Grids for R: Spatial Analysis Done Right

  • cppRouting

    Algorithms for Routing and Solving the Traffic Assignment Problem

  • BTM

    Biterm Topic Modelling for Short Text with R (by bnosac)

  • rgl

    rgl is a 3D visualization system based on OpenGL. It provides a medium to high level interface for use in R, currently modelled on classic R graphics, with extensions to allow for interaction. (by dmurdoch)

  • redist

    Simulation methods for legislative redistricting.

    Project mention: Supreme Court allows for Louisiana congressional map to be redrawn to add another majority-Black district | /r/news | 2023-06-26
  • re2

    R interface to Google re2 (C++) regular expression engine (by girishji)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-06-29.

C++ R related posts


What are some of the best open-source R projects in C++? This list will help you:

Project Stars
1 LightGBM 15,890
2 Rcpp 718
3 readxl 713
4 vroom 603
5 terra 506
6 pdftools 493
7 GPBoost 489
8 odbc 378
9 Rblpapi 162
10 dggridR 149
11 cppRouting 97
12 BTM 88
13 rgl 82
14 redist 65
15 re2 25
Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.