automl-gs
Automatically generate machine-learning models and code with input CSV and target field
GraphCanon updated 2w · GitHub synced 2w
Decision brief
automl-gs: Python tool for automated machine-learning model creation from CSV data
Good fit when
- Need to rapidly prototype models with limited ML expertise
- CSV-formatted datasets are available, precise target field known
Avoid when
- Complex feature engineering or non-standard data inputs required
- Sensitive about licensing of the generated code
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (2477d since push)
- As of 2w
- Provenance
- Not a fork · Personal account
- As of 2w
- Security (OSV)
- 2 high, 5 medium, 7 low (2 high, 5 medium, 7 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install automl-gsHow it fits your stack(1)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This Python tool automates the process of model creation for machine learning tasks given data in CSV format and a specific target for prediction.
Capability facts
- Languages
- python
Source: github.language · Aug 4, 2026
Categories
Tags
README
License
MIT
The code generated by automl-gs is unlicensed; the owner of the generated code can decide the license.
For agents
This page has a .md twin and JSON over the API.