mlxtend adds helper modules for Python data analysis and machine learning libraries.
astroML
vsVaex
astroML vs Vaex
How do astroML and Vaex compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | astroML | Vaex |
|---|---|---|
| What it is | AstroML provides Python tools for machine learning and data mining in astronomy. | Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows. |
| Website | ||
| Type | Open-source project | Online tool |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Web |
| Open source | Not stated | Not stated |
| Language | — | — |
| Alternatives |
Other options to consider
Sites similar to both astroML and Vaex.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
Open source
24 alternativesAutomatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.
Open source
24 alternativesMachine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Open source
24 alternativesClass-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Open source
24 alternativesThe ml5.js project brings friendly machine learning tools to web projects.
Open source
24 alternatives





