An open source Python library for drift detection in machine learning systems.
Open source
24 alternativesAutoViz
AutoViz automatically creates visualizations for datasets of different sizes from a single line of code.
About AutoViz
AutoViz is an open-source Python library for exploratory data analysis. It creates multiple visualizations for a dataset from a single line of code, abstracting plotting library details, and shows patterns, trends, and relationships in the data.
It runs a data quality assessment by default and includes a FixDQ() function to address issues. Chart type and color palette can be customized. Use requires cloning the repository and setting up a Python/Anaconda environment.
Key features
- Generate multiple visualizations with a single line of code
- Assess dataset quality by default
- Fix data quality issues with FixDQ() function
- Customize chart type and color palette
- Work with datasets of different sizes
- Abstract plotting library details for exploratory analysis
Best for: Beginners and experts doing exploratory data analysis who want visualizations without manual plotting.
Good for
- Open-source Python library for data visualization
- Creates multiple plots from one line of code
- Includes built-in data quality assessment and fix function
Watch out for
- Requires local Python/Anaconda setup and repository installation
AutoViz at a glance
- Website
- github.com/AutoViML/AutoViz
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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AutoViz FAQ
How do I create visualizations with AutoViz?
The library generates multiple plots for a dataset from a single line of code.
How does AutoViz handle data quality?
It performs a data quality assessment by default and provides a FixDQ() function to fix issues.
How do I install AutoViz?
Clone the repository, set up a Python/Anaconda environment, and run pip install . in the AutoViz directory.
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