ND4S VS Chalk

Compare ND4S vs Chalk and see what are their differences.

ND4S

ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J. (by deeplearning4j)
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ND4S Chalk
- -
302 262
- -
0.0 0.0
almost 4 years ago -
Scala Scala
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ND4S

Posts with mentions or reviews of ND4S. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning ND4S yet.
Tracking mentions began in Dec 2020.

Chalk

Posts with mentions or reviews of Chalk. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Chalk yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing ND4S and Chalk you can also consider the following projects:

Breeze - Breeze is a numerical processing library for Scala.

Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.

Smile - Statistical Machine Intelligence & Learning Engine

MGO - Purely functional genetic algorithms for multi-objective optimisation

Saddle

Libra - A dimensional analysis library based on dependent types

Algebird - Abstract Algebra for Scala

Spire - Powerful new number types and numeric abstractions for Scala.

Figaro - Figaro Programming Language and Core Libraries

BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.