Breeze
Algebird
Our great sponsors
- InfluxDB - Collect and Analyze Billions of Data Points in Real Time
- Onboard AI - Learn any GitHub repo in 59 seconds
- SaaSHub - Software Alternatives and Reviews
| Breeze | Algebird | |
|---|---|---|
| 3 | 2 | |
| 3,416 | 2,272 | |
| 0.2% | 0.2% | |
| 3.9 | 7.7 | |
| over 1 year ago | 11 days ago | |
| Scala | Scala | |
| Apache License 2.0 | Apache License 2.0 |
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.
Breeze
-
Data science in Scala
You can use https://github.com/scalanlp/breeze. A Scala library that's sorta a numpy/plotting equivalent. Unlike Spark which covers more use cases than just the classic Data Science workflow, Breeze is built specifically for "Data Science in Scala". The drawback is a classic one in Scala land where some major libraries abruptly get abandoned. Breeze's commits seem to have slowed down significantly and their website on their github page www.scalanlp.org is broken.
-
Machine learning on JVM
I haven't checked in on this project in a long time, but Breeze is something akin to NumPy/SciPy.
Algebird
-
What do you use when you have to store high cardinality metrics?
https://github.com/twitter/algebird (production ready, used at Twitter, but for the JVM)
-
Symbolics.jl: A Modern Computer Algebra System for a Modern Language
Hey, I have... I'm a co-author of Algebird[0], which has many ideas that I'd pull over.
I'm hoping to introduce Clojure's "spec" or "schema" libraries so that the types at play can at least be inspectable inside the system. In a fully typed language, I'd implement the extensible generics as typeclasses.
I suspect it would make it quite a bit tougher (at least in the approach I'm imagining) for folks to write new generic functions, due to many type constructors...
On the other hand, the complexity is there, even if you don't write it down!
It would be a big project, and a worthy effort, to write down types for everything in SICM.
What are some alternatives?
Spire - Powerful new number types and numeric abstractions for Scala.
ND4S - ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J.
Smile - Statistical Machine Intelligence & Learning Engine
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
Saddle
Numsca - numsca is numpy 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
Compute.scala - Scientific computing with N-dimensional arrays