Comparison
data-juicer vs automl-gs
Verdict
Pick data-juicer if a Python library for foundational AI model data processing, offering a pipeline for tasks like instruction tuning and synthetic data generation; pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data.
Markdown twin · data-juicer alternatives · automl-gs alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | data-juicer | automl-gs |
|---|---|---|
| Maintenance | Very active (4d since push) As of 4d · github_public_v1 | Dormant (2477d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- data-juicer
- Data processing for and with foundation models
- automl-gs
- Automatically generate machine-learning models and code with input CSV and target field
Stars
- data-juicer
- 6.9k
- automl-gs
- 1.9k
Forks
- data-juicer
- 404
- automl-gs
- 181
Open issues
- data-juicer
- 59
- automl-gs
- 28
Language
- data-juicer
- Python
- automl-gs
- Python
Adopt for
- data-juicer
- A Python library for foundational AI model data processing, offering a pipeline for tasks like instruction tuning and synthetic data generation.
- automl-gs
- automl-gs: Python tool for automated machine-learning model creation from CSV data
Persona
- data-juicer
- -
- automl-gs
- -
Runtime
- data-juicer
- -
- automl-gs
- -
License
- data-juicer
- Apache-2.0
- automl-gs
- MIT
Last pushed
- data-juicer
- Aug 13, 2026
- automl-gs
- Oct 22, 2019
Categories
- data-juicer
- Data & Retrieval, Model Training
- automl-gs
- Data & Retrieval, Model Training
Trust and health
Maintenance
- data-juicer
- Very active (96%)
- automl-gs
- Dormant (18%)
Days since push
- data-juicer
- 4d
- automl-gs
- 2477d
Open issues (now)
- data-juicer
- 59
- automl-gs
- 28
Stars delta
- data-juicer
- +166 (30d)
- automl-gs
- Unknown
Open issues delta
- data-juicer
- -3 (30d)
- automl-gs
- Unknown
Owner type
- data-juicer
- Organization
- automl-gs
- User
OSV dependency advisories
- data-juicer
- No lockfile (source not queried)
- automl-gs
- Published findings
Full report
- data-juicer
- Trust report
- automl-gs
- Trust report
Choose data-juicer if…
- License: data-juicer is Apache-2.0, automl-gs is MIT.
- Tags unique to data-juicer: foundation-models, instruction-tuning, large language models, llm.
- data-juicer ships Docker support for self-hosted deployment.
- When you need to preprocess large datasets specifically for training large language models (LLMs) with pipelines that support sophisticated processes like instruction tuning.
When NOT to use data-juicer
- If your project does not involve foundational AI model training or if you do not require advanced data processing capabilities such as synthetic data generation.
Choose automl-gs if…
- License: automl-gs is MIT, data-juicer is Apache-2.0.
- Tags unique to automl-gs: automl, keras, machine-learning, python.
- 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 (datajuicer/data-juicer) · observed Aug 17, 2026
- GitHub forks (datajuicer/data-juicer) · observed Aug 17, 2026
- Last push (datajuicer/data-juicer) · observed Aug 13, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 12, 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: data-juicer 6.9k · automl-gs 1.9k (synced Aug 17, 2026).
Common questions
- What is the difference between data-juicer and automl-gs?
- data-juicer: Data processing for and with foundation models. 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 data-juicer over automl-gs?
- Choose data-juicer over automl-gs when License: data-juicer is Apache-2.0, automl-gs is MIT; Tags unique to data-juicer: foundation-models, instruction-tuning, large language models, llm; data-juicer ships Docker support for self-hosted deployment; When you need to preprocess large datasets specifically for training large language models (LLMs) with pipelines that support sophisticated processes like instruction tuning.
- When should I choose automl-gs over data-juicer?
- Choose automl-gs over data-juicer when License: automl-gs is MIT, data-juicer is Apache-2.0; Tags unique to automl-gs: automl, keras, machine-learning, python; Need to rapidly prototype models with limited ML expertise.
- When should I avoid data-juicer?
- If your project does not involve foundational AI model training or if you do not require advanced data processing capabilities such as synthetic data generation.
- When should I avoid automl-gs?
- Complex feature engineering or non-standard data inputs required Sensitive about licensing of the generated code
- Is data-juicer or automl-gs more popular on GitHub?
- data-juicer has more GitHub stars (6,897 vs 1,869). Stars measure visibility, not whether either tool fits your constraints.
- Are data-juicer and automl-gs open source?
- Yes - both are open-source projects on GitHub (data-juicer: Apache-2.0, automl-gs: MIT).
- Where can I find alternatives to data-juicer or automl-gs?
- GraphCanon lists graph-backed alternatives at data-juicer alternatives and automl-gs alternatives (data-juicer 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, data-juicer or automl-gs?
- data-juicer: Very active. 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 data-juicer and automl-gs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: data-juicer trust report; automl-gs trust report.