Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Open source
24 alternativesMicrosoft ML for Apache Spark
vsGeni
Microsoft ML for Apache Spark vs Geni
How do Microsoft ML for Apache Spark and Geni compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Microsoft ML for Apache Spark | Geni |
|---|---|---|
| What it is | SynapseML provides distributed machine learning algorithms for Spark through its Python library. | The Geni project provides a Clojure dataframe library that runs on Apache Spark. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Microsoft ML for Apache Spark and Geni.
mlxtend adds helper modules for Python data analysis and machine learning libraries.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Open source
24 alternatives
jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.
Open source
24 alternatives
Weights & Biases supports model training, fine tuning, and management from experimentation through production.
Open source
24 alternatives
Koalas implements the pandas DataFrame API on Apache Spark and is deprecated; for Apache Spark 3.2 and above, use PySpark directly.
Open source
24 alternatives