Comparison
autoai vs automl-gs
Verdict
Pick autoai if python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation; pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data.
Markdown twin · autoai alternatives · automl-gs alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | autoai | automl-gs |
|---|---|---|
| Maintenance | Dormant (496d since push) As of 2w · github_public_v1 | Dormant (2477d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- autoai
- Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation
- automl-gs
- Automatically generate machine-learning models and code with input CSV and target field
Stars
- autoai
- 186
- automl-gs
- 1.9k
Forks
- autoai
- 46
- automl-gs
- 181
Open issues
- autoai
- 9
- automl-gs
- 28
Language
- autoai
- Python
- automl-gs
- Python
Adopt for
- autoai
- Python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation.
- automl-gs
- automl-gs: Python tool for automated machine-learning model creation from CSV data
Persona
- autoai
- -
- automl-gs
- -
Runtime
- autoai
- -
- automl-gs
- -
License
- autoai
- Apache-2.0
- automl-gs
- MIT
Last pushed
- autoai
- Mar 25, 2025
- automl-gs
- Oct 22, 2019
Categories
- autoai
- Model Training
- automl-gs
- Data & Retrieval, Model Training
Trust and health
Days since push
- autoai
- 496d
- automl-gs
- 2477d
Open issues (now)
- autoai
- 9
- automl-gs
- 28
Owner type
- autoai
- Organization
- automl-gs
- User
Full report
- autoai
- Trust report
- automl-gs
- Trust report
Choose autoai if…
- License: autoai is Apache-2.0, automl-gs is MIT.
- Tags unique to autoai: ai, autoai, codegen, deep-learning.
- Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
When NOT to use autoai
- 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.
Choose automl-gs if…
- License: automl-gs is MIT, autoai is Apache-2.0.
- Tags unique to automl-gs: keras, tensorflow, xgboost.
- Also covers Data & Retrieval.
- Need to rapidly prototype models with limited ML expertise
When NOT to use automl-gs
- Complex feature engineering or non-standard data inputs required
- Sensitive about licensing of the generated code
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (blobcity/autoai) · observed Aug 4, 2026
- GitHub forks (blobcity/autoai) · observed Aug 4, 2026
- Last push (blobcity/autoai) · observed Mar 25, 2025
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (minimaxir/automl-gs) · observed Aug 4, 2026
- GitHub forks (minimaxir/automl-gs) · observed Aug 4, 2026
- Last push (minimaxir/automl-gs) · observed Oct 22, 2019
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autoai 186 · automl-gs 1.9k (synced Aug 4, 2026).
Common questions
- What is the difference between autoai and automl-gs?
- autoai: Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation. automl-gs: Automatically generate machine-learning models and code with input CSV and target field. See the comparison table for live GitHub stats and shared categories.
- When should I choose autoai over automl-gs?
- Choose autoai over automl-gs when License: autoai is Apache-2.0, automl-gs is MIT; Tags unique to autoai: ai, autoai, codegen, deep-learning; Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
- When should I choose automl-gs over autoai?
- Choose automl-gs over autoai when License: automl-gs is MIT, autoai is Apache-2.0; Tags unique to automl-gs: keras, tensorflow, xgboost; Also covers Data & Retrieval; Need to rapidly prototype models with limited ML expertise.
- When should I avoid autoai?
- 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.
- When should I avoid automl-gs?
- Complex feature engineering or non-standard data inputs required Sensitive about licensing of the generated code
- Is autoai or automl-gs more popular on GitHub?
- automl-gs has more GitHub stars (1,869 vs 186). Stars measure visibility, not whether either tool fits your constraints.
- Are autoai and automl-gs open source?
- Yes - both are open-source projects on GitHub (autoai: Apache-2.0, automl-gs: MIT).
- Where can I find alternatives to autoai or automl-gs?
- GraphCanon lists graph-backed alternatives at autoai alternatives and automl-gs alternatives (autoai markdown twin, automl-gs markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, autoai or automl-gs?
- autoai: Dormant. automl-gs: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for autoai and automl-gs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoai trust report; automl-gs trust report.