---
title: AstroML Reviews
meta_title: 'AstroML Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how AstroML works for a business like yours.
aggregate_rating:
  rating_value: 4.5
  review_count: 2
  scale: '5'
date_modified: '2025-10-30'
parent_category:
  name: Artificial Intelligence
  url: https://www.g2.com/categories/artificial-intelligence
---

# AstroML Reviews
**Vendor:** AstroML  
**Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning)  
**Average Rating:** 4.5/5.0  
**Total Reviews:** 2
## About AstroML
AstroML is a Python module for machine learning and data mining that provide a community repository for fast Python implementations of common tools and routines used for statistical data analysis in astronomy and astrophysics, to provide a uniform and easy-to-use interface to freely available astronomical datasets.




## AstroML Reviews
  ### 1. Machine learning for Astronomy

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** February 05, 2022

**What do you like best about AstroML?**

Python module of Astro ML makes it extremely convenient for data mining. It basically automates the machine learning process for astronomy.

**What do you dislike about AstroML?**

It is not easy to operate and need training. It is a bit difficult to understand at initial point.

**What problems is AstroML solving and how is that benefiting you?**

Data analytics becomes easier with AstroML. It can be used to analyze a bulk data and draw conclusion based on that.

  ### 2. Module for machine learning and data mining

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.)

**Reviewed Date:** January 31, 2022

**What do you like best about AstroML?**

It is really easy to use and helps for fast python implementation of common tools and routines for data analysis. It cuts down time spend in doing iterative tasks.

**What do you dislike about AstroML?**

It requires a lot of training to work on it. Overall its good.

**Recommendations to others considering AstroML:**

Good product.

**What problems is AstroML solving and how is that benefiting you?**

Gives a lot of statistical data. Helps in data analysis and is really helps in fast implementation of python


## AstroML Discussions
  - [What is AstroML used for?](https://www.g2.com/discussions/what-is-astroml-used-for)

- [View AstroML pricing details and edition comparison](https://www.g2.com/products/astroml/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-24+18%3A33%3A25+-0500&secure%5Bsession_id%5D=0e56b690-06b2-4860-ab7f-1c36f155d1d1&secure%5Btoken%5D=aad0927bf01dd92678f241e5fdf122005baa94b73eaadf4ea382f8f97e996609&format=llm_user)

## AstroML Features
**Integration - Machine Learning**
- Integration

**Learning - Machine Learning**
- Training Data
- Actionable Insights
- Algorithm

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