Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
LDA.js vs H2O Sparkling Water
How do LDA.js 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 | LDA.js | H2O Sparkling Water |
|---|---|---|
| What it is | This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript. | 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 LDA.js and H2O Sparkling Water.
Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.
The Geni project provides a Clojure dataframe library that runs on Apache Spark.
Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.
The Pattern Recognition Toolbox provides MATLAB tools for pattern recognition and machine learning.
The fastai deep learning library includes documentation and setup guidance, including instructions for use with Google Colab.







