Comparison
vega vs automl-gs
Verdict
Pick vega if vega is an AutoML toolchain from Huawei Noah's Ark Lab that streamlines model building and selection with Python; pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data.
Markdown twin · vega alternatives · automl-gs alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | vega | automl-gs |
|---|---|---|
| Maintenance | Dormant (1266d 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 | 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
- vega
- AutoML tools chain
- automl-gs
- Automatically generate machine-learning models and code with input CSV and target field
Stars
- vega
- 849
- automl-gs
- 1.9k
Forks
- vega
- 177
- automl-gs
- 181
Open issues
- vega
- 53
- automl-gs
- 28
Language
- vega
- Python
- automl-gs
- Python
Adopt for
- vega
- Vega is an AutoML toolchain from Huawei Noah's Ark Lab that streamlines model building and selection with Python.
- automl-gs
- automl-gs: Python tool for automated machine-learning model creation from CSV data
Persona
- vega
- -
- automl-gs
- -
Runtime
- vega
- -
- automl-gs
- -
License
- vega
- Other
- automl-gs
- MIT
Last pushed
- vega
- Feb 15, 2023
- automl-gs
- Oct 22, 2019
Categories
- vega
- Model Training
- automl-gs
- Data & Retrieval, Model Training
Trust and health
Days since push
- vega
- 1266d
- automl-gs
- 2477d
Open issues (now)
- vega
- 53
- automl-gs
- 28
Owner type
- vega
- Organization
- automl-gs
- User
OSV dependency advisories
- vega
- No lockfile (source not queried)
- automl-gs
- Published findings
Full report
- vega
- Trust report
- automl-gs
- Trust report
Choose vega if…
- License: vega is Other, automl-gs is MIT.
- When leveraging the specific optimizations offered by Huawei Noah's Ark Lab in your automated machine learning workflows
- More recently updated (last pushed Feb 15, 2023).
When NOT to use vega
- If dependency on proprietary solutions, such as those from a single vendor like Huawei, needs to be avoided
- When you require an extensive open community support or the flexibility traditionally offered by more established open-source AutoML tools
Choose automl-gs if…
- License: automl-gs is MIT, vega is Other.
- Tags unique to automl-gs: keras, machine-learning, python, tensorflow.
- 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 (huawei-noah/vega) · observed Aug 4, 2026
- GitHub forks (huawei-noah/vega) · observed Aug 4, 2026
- Last push (huawei-noah/vega) · observed Feb 15, 2023
- License file (Other) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 16, 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: vega 849 · automl-gs 1.9k (synced Aug 4, 2026).
Common questions
- What is the difference between vega and automl-gs?
- vega: AutoML tools chain. 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 vega over automl-gs?
- Choose vega over automl-gs when License: vega is Other, automl-gs is MIT; When leveraging the specific optimizations offered by Huawei Noah's Ark Lab in your automated machine learning workflows; More recently updated (last pushed Feb 15, 2023).
- When should I choose automl-gs over vega?
- Choose automl-gs over vega when License: automl-gs is MIT, vega is Other; Tags unique to automl-gs: keras, machine-learning, python, tensorflow; Also covers Data & Retrieval; Need to rapidly prototype models with limited ML expertise.
- When should I avoid vega?
- If dependency on proprietary solutions, such as those from a single vendor like Huawei, needs to be avoided When you require an extensive open community support or the flexibility traditionally offered by more established open-source AutoML tools
- When should I avoid automl-gs?
- Complex feature engineering or non-standard data inputs required Sensitive about licensing of the generated code
- Is vega or automl-gs more popular on GitHub?
- automl-gs has more GitHub stars (1,869 vs 849). Stars measure visibility, not whether either tool fits your constraints.
- Are vega and automl-gs open source?
- Yes - both are open-source projects on GitHub (vega: Other, automl-gs: MIT).
- Where can I find alternatives to vega or automl-gs?
- GraphCanon lists graph-backed alternatives at vega alternatives and automl-gs alternatives (vega 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, vega or automl-gs?
- vega: 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 vega and automl-gs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vega trust report; automl-gs trust report.