The Geni project provides a Clojure dataframe library that runs on Apache Spark.
Microsoft ML for Apache Spark vs Koalas
How do Microsoft ML for Apache Spark and Koalas 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 | Koalas |
|---|---|---|
| What it is | SynapseML provides distributed machine learning algorithms for Spark through its Python library. | Koalas implements the pandas DataFrame API on Apache Spark and is deprecated; for Apache Spark 3.2 and above, use PySpark directly. |
| 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 Koalas.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
DataComPy compares Pandas, Polars, Spark, and Snowpark dataframes, with output that includes comparison statistics.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.
Weights & Biases supports model training, fine tuning, and management from experimentation through production.







