The Most Popular Scala packages
Page 1
The Most Popular Scala packages
Page 1
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Apache Spark
Apache Spark - A unified analytics engine for large-scale data processing -
MLLib
Apache Spark - A unified analytics engine for large-scale data processing -
Deeplearning4J
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. -
Play
The Community Maintained High Velocity Web Framework For Java and Scala. -
Akka
Build highly concurrent, distributed, and resilient message-driven applications on the JVM -
Vert.x
Vert.x is a tool-kit for building reactive applications on the JVM -
PredictionIO
PredictionIO, a machine learning server for developers and ML engineers. -
Gitbucket
A Git platform powered by Scala with easy installation, high extensibility & GitHub API compatibility -
Zeppelin
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. -
Exercism - Scala Exercises
Crowd-sourced code mentorship. Practice having thoughtful conversations about code. -
BigDL
Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm -
ZIO
ZIO — A type-safe, composable library for async and concurrent programming in Scala -
Spark Notebook
Interactive and Reactive Data Science using Scala and Spark.
* 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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