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automl-gs

minimaxir/automl-gs

Automatically generate machine-learning models and code with input CSV and target field

GitHub

GraphCanon updated Sep 30, 2026 · GitHub synced Sep 30, 2026

120views this month

1.9k stars178 forksLast push Oct 22, 2019 Python MIT

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

automl-gs alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Dormant (2534d since push); As of Sep 30, 2026
Provenance: Not a fork · Personal account; As of Sep 30, 2026
Security (OSV): 2 high, 5 medium, 7 low (2 high, 5 medium, 7 low); As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install automl-gs

PyPI

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Made-With-ML

Made-With-ML includes machine learning aspects such as automated code generation, which relates to the AutoML approach in automl-gs.

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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 · Sep 30, 2026

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.

/tools/minimaxir-automl-gs.md GET /api/graphcanon/tools/minimaxir-automl-gs GET /api/graphcanon/graph?tool=minimaxir-automl-gs