autoai

Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation

GitHub

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

116views this month

186 stars46 forksLast push Mar 25, 2025 Python Apache-2.0

Decision brief

Python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation.

Good fit when

Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
Choose this if your workflow requires Python-based high-quality Jupyter Notebook code generation from experimental models.

Avoid when

Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing.
Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.

Observed Jul 17, 2026 · Source: enrich:decision_facts

autoai alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Dormant (554d since push); As of Sep 30, 2026
Provenance: Not a fork · Organization account; As of Sep 30, 2026
Security (OSV): 12 low (12 low); As of Jul 11, 2026

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

Install

pip install autoai

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

BlobCity's AutoAI supports automated machine learning workflows for regression and classification tasks over numerical data. It provides high-quality Python code generation in the form of Jupyter Notebooks.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Sep 30, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 30, 2026)

``` Python import blobcity as bc

Source link

README

Getting Started is the name of the target column. The column must be present within the data provided. Automatic inference of Regression / Classification is supported by the framework. Data input formats supported include: 1. Local CSV / XLSX file 2. URL to a CSV / XLSX file 3. P...

For agents

This page has a .md twin and JSON over the API.

/tools/blobcity-autoai.md GET /api/graphcanon/tools/blobcity-autoai GET /api/graphcanon/graph?tool=blobcity-autoai