Description
The rscala package provides a two-way bridge between R and Scala enabling a user to exploit each language's respective strengths in a single project. The rscala package brings Scala and Java libraries into R with a simple interface. Specifically, Scala classes can be instantiated and methods of Scala classes can be called directly. Furthermore, arbitrary Scala code can be executed on the fly from within R, inline Scala functions can be defined, and callbacks to the original R interpreter are supported. Finally, rscala also enables arbitrary R code to be embedded within a Scala or Java application. The rscala package is available on CRAN and requires no special installations or configurations of R or Scala.
rscala alternatives and similar packages
Based on the "Science and Data Analysis" category.
Alternatively, view rscala alternatives based on common mentions on social networks and blogs.
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Zeppelin
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. -
BigDL
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc. -
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FACTORIE
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference. -
ND4S
DISCONTINUED. ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J. -
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Clustering4Ever
C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering. -
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Nutrient - The #1 PDF SDK Library
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
R/rscala/README.md