Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Open source
24 alternativesastroML
vsH2O Sparkling Water
astroML vs H2O Sparkling Water
How do astroML 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 | astroML | H2O Sparkling Water |
|---|---|---|
| What it is | AstroML provides Python tools for machine learning and data mining in astronomy. | 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 | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | — | English |
| Alternatives |
Other options to consider
Sites similar to both astroML and H2O Sparkling Water.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
Open source
24 alternatives
The Pattern Recognition Toolbox provides MATLAB tools for pattern recognition and machine learning.
Open source
24 alternatives
Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.
Open source
24 alternatives
Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.
Open source
24 alternatives
The anneal project is a Go machine learning compiler with graph rewriting, autodiff, and a WebGPU backend.
Open source
24 alternatives