mlxtend adds helper modules for Python data analysis and machine learning libraries.
Dask
vsastroML
Dask vs astroML
How do Dask and astroML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Dask | astroML |
|---|---|---|
| What it is | For parallel computing in Python, Dask extends familiar tools to handle larger workloads. | AstroML provides Python tools for machine learning and data mining in astronomy. |
| Website | ||
| Type | Website | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Web |
| Open source | Not stated | Not stated |
| Language | English | — |
| Alternatives |
Other options to consider
Sites similar to both Dask and astroML.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
Open source
24 alternativesVaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.
Browse a gallery of interesting Jupyter notebooks on this project wiki, with examples from notebook users.
Open source
24 alternativesMachine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Open source
24 alternativesThe ml5.js project brings friendly machine learning tools to web projects.
Open source
24 alternatives





