Spire VS Spark Notebook

Compare Spire vs Spark Notebook and see what are their differences.

Spire

Powerful new number types and numeric abstractions for Scala. (by typelevel)

Spark Notebook

Interactive and Reactive Data Science using Scala and Spark. (by spark-notebook)
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Spire Spark Notebook
- -
1,756 3,147
0.1% 0.1%
5.6 0.0
about 15 hours ago 12 months ago
Scala JavaScript
MIT License 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.

Spire

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

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

Spark Notebook

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

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

What are some alternatives?

When comparing Spire and Spark Notebook you can also consider the following projects:

Breeze - Breeze is a numerical processing library for Scala.

Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

Squants - The Scala API for Quantities, Units of Measure and Dimensional Analysis

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.

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.

Smile - Statistical Machine Intelligence & Learning Engine

Algebird - Abstract Algebra for Scala

Saddle

OscaR

Chalk

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

OpenMOLE - Workflow engine for exploration of simulation models using high throughput computing