Jupyter Scala VS plotly-scala

Compare Jupyter Scala vs plotly-scala and see what are their differences.

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Jupyter Scala plotly-scala
6 1
1,561 218
0.2% -
9.0 0.0
6 days ago 8 days ago
Scala Scala
BSD 3-clause "New" or "Revised" License -
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.

Jupyter Scala

Posts with mentions or reviews of Jupyter Scala. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-05.

plotly-scala

Posts with mentions or reviews of plotly-scala. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-23.

What are some alternatives?

When comparing Jupyter Scala and plotly-scala you can also consider the following projects:

sparkmagic - Jupyter magics and kernels for working with remote Spark clusters

evilplot - A Scala combinator-based plotting library.

Metals - Scala language server with rich IDE features 🚀

Vegas - The missing MatPlotLib for Scala + Spark

Apache Flink - Apache Flink

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.

Scio - A Scala API for Apache Beam and Google Cloud Dataflow.

Hail - Cloud-native genomic dataframes and batch computing

delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

Sparkta - Real Time Analytics and Data Pipelines based on Spark Streaming

BIDMach - CPU and GPU-accelerated Machine Learning Library

Apache Kafka - Mirror of Apache Kafka