Apache Spark - A unified analytics engine for large-scale data processing
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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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.
Manage R installations, packages and projects
Alternative R Frontend — a modern R console written in Rust
A single-node analytical database engine with geospatial as a first-class citizen
R Extension for Visual Studio Code
R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html
R inside Python
R package for oceanographic processing
Generate fully-typed, lint-clean language bindings for Rust libraries across 16 languages