The Geni project provides a Clojure dataframe library that runs on Apache Spark.
Hamilton vs H2O Sparkling Water
How do Hamilton and H2O Sparkling Water compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Hamilton | H2O Sparkling Water |
|---|---|---|
| What it is | Apache Hamilton helps teams build modular, testable dataflows with lineage and metadata. | Sparkling Water brings H2O machine learning functionality into an Apache Spark cluster. |
| 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 Hamilton and H2O Sparkling Water.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
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.







