mlxtend adds helper modules for Python data analysis and machine learning libraries.
Storm
vsMicrosoft ML for Apache Spark
Storm vs Microsoft ML for Apache Spark
How do Storm and Microsoft ML for Apache Spark compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Storm | Microsoft ML for Apache Spark |
|---|---|---|
| What it is | Apache Storm is an open-source distributed system for processing unbounded streams of data in real time. | SynapseML provides distributed machine learning algorithms for Spark through its Python library. |
| Website | ||
| Type | Website | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | — | English |
| Alternatives |
Other options to consider
Sites similar to both Storm and Microsoft ML for Apache Spark.
Python developers can use gensim for topic modeling and related natural language processing tasks.
Open source
24 alternatives
Sparkling Water brings H2O machine learning functionality into an Apache Spark cluster.
Open source
24 alternatives
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Open source
24 alternatives
dlib provides C++ libraries for image processing, machine learning, and related algorithms.
jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.
Open source
24 alternatives