kdqed/zaturn

Overview

Zaturn is a Python library that generates data analysis code from natural language prompts. It uses large language models to interpret user requests and produce executable Python scripts for data exploration and visualization.

Best for

Best for
Data analysts and scientists who want to accelerate routine data exploration tasks

Use cases

• Quickly generate exploratory data analysis scripts from plain English descriptions
• Create data visualizations without writing plotting code manually
• Prototype data transformations and aggregations by describing the desired output

Notes

Zaturn is a Python library that generates data analysis code from natural language prompts. It uses large language models to interpret user requests and produce executable Python scripts for data exploration and visualization.

74 stars on GitHub. Last updated 2025-11-12. Licensed MIT.

Use cases

• Quickly generate exploratory data analysis scripts from plain English descriptions
• Create data visualizations without writing plotting code manually
• Prototype data transformations and aggregations by describing the desired output

Pros

• Reduces time spent writing boilerplate analysis code
• Lowers the barrier for non-expert Python users to perform data analysis
• Open source with a permissive license for customization

Cons

• Generated code may require manual review and debugging for correctness
• Dependent on external LLM APIs which can introduce latency and cost
• Limited to the quality and scope of the underlying language model

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