Comparison
automl-gs vs FastDatasets
Verdict
Pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data; pick FastDatasets if fastDatasets is designed to aid in generating high-quality datasets for training Large Language Models (LLMs), leveraging Python capabilities.
Markdown twin · automl-gs alternatives · FastDatasets alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | automl-gs | FastDatasets |
|---|---|---|
| Maintenance | Dormant (2477d since push) As of 3w · github_public_v1 | Slowing (340d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · 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
- automl-gs
- Automatically generate machine-learning models and code with input CSV and target field
- FastDatasets
- A powerful tool for creating high-quality training datasets for Large Language Models (LLMs)
Stars
- automl-gs
- 1.9k
- FastDatasets
- 222
Forks
- automl-gs
- 181
- FastDatasets
- 43
Open issues
- automl-gs
- 28
- FastDatasets
- 0
Language
- automl-gs
- Python
- FastDatasets
- Python
Adopt for
- automl-gs
- automl-gs: Python tool for automated machine-learning model creation from CSV data
- FastDatasets
- FastDatasets is designed to aid in generating high-quality datasets for training Large Language Models (LLMs), leveraging Python capabilities.
Persona
- automl-gs
- -
- FastDatasets
- -
Runtime
- automl-gs
- -
- FastDatasets
- -
License
- automl-gs
- MIT
- FastDatasets
- Apache-2.0
Last pushed
- automl-gs
- Oct 22, 2019
- FastDatasets
- Aug 31, 2025
Categories
- automl-gs
- Data & Retrieval, Model Training
- FastDatasets
- Data & Retrieval, Model Training
Trust and health
Maintenance
- automl-gs
- Dormant (18%)
- FastDatasets
- Slowing (36%)
Days since push
- automl-gs
- 2477d
- FastDatasets
- 340d
Open issues (now)
- automl-gs
- 28
- FastDatasets
- 0
Full report
- automl-gs
- Trust report
- FastDatasets
- Trust report
Choose automl-gs if…
- License: automl-gs is MIT, FastDatasets is Apache-2.0.
- Tags unique to automl-gs: automl, keras, machine-learning, tensorflow.
- 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
Choose FastDatasets if…
- License: FastDatasets is Apache-2.0, automl-gs is MIT.
- Tags unique to FastDatasets: asyncio, dataset-generation, datasets, llm.
- - When you need to generate datasets specifically tailored to improve the performance of LLMs.
When NOT to use FastDatasets
- - Avoid using if the project does not involve training or fine-tuning LLMs as its primary objective.
- - If customization and flexibility are critical and your team prefers managing datasets manually for full control over each dataset creation process.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (ZhuLinsen/FastDatasets) · observed Aug 7, 2026
- GitHub forks (ZhuLinsen/FastDatasets) · observed Aug 7, 2026
- Last push (ZhuLinsen/FastDatasets) · observed Aug 31, 2025
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: automl-gs 1.9k · FastDatasets 222 (synced Aug 4, 2026).
Common questions
- What is the difference between automl-gs and FastDatasets?
- automl-gs: Automatically generate machine-learning models and code with input CSV and target field. FastDatasets: A powerful tool for creating high-quality training datasets for Large Language Models (LLMs). See the comparison table for live GitHub stats and shared categories.
- When should I choose automl-gs over FastDatasets?
- Choose automl-gs over FastDatasets when License: automl-gs is MIT, FastDatasets is Apache-2.0; Tags unique to automl-gs: automl, keras, machine-learning, tensorflow; Need to rapidly prototype models with limited ML expertise.
- When should I choose FastDatasets over automl-gs?
- Choose FastDatasets over automl-gs when License: FastDatasets is Apache-2.0, automl-gs is MIT; Tags unique to FastDatasets: asyncio, dataset-generation, datasets, llm; - When you need to generate datasets specifically tailored to improve the performance of LLMs.
- When should I avoid automl-gs?
- Complex feature engineering or non-standard data inputs required Sensitive about licensing of the generated code
- When should I avoid FastDatasets?
- - Avoid using if the project does not involve training or fine-tuning LLMs as its primary objective. - If customization and flexibility are critical and your team prefers managing datasets manually for full control over each dataset creation process.
- Is automl-gs or FastDatasets more popular on GitHub?
- automl-gs has more GitHub stars (1,869 vs 222). Stars measure visibility, not whether either tool fits your constraints.
- Are automl-gs and FastDatasets open source?
- Yes - both are open-source projects on GitHub (automl-gs: MIT, FastDatasets: Apache-2.0).
- Where can I find alternatives to automl-gs or FastDatasets?
- GraphCanon lists graph-backed alternatives at automl-gs alternatives and FastDatasets alternatives (automl-gs markdown twin, FastDatasets 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, automl-gs or FastDatasets?
- automl-gs: Dormant. FastDatasets: Slowing. 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 automl-gs and FastDatasets?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: automl-gs trust report; FastDatasets trust report.