Comparison
evalml vs auto-evaluator
Verdict
Pick evalml when evalml is primarily Python; auto-evaluator is TypeScript; pick auto-evaluator when auto-evaluator is primarily TypeScript; evalml is Python.
Markdown twin · evalml alternatives · auto-evaluator alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | evalml | auto-evaluator |
|---|---|---|
| Maintenance | Slowing (201d since push) As of 2w · github_public_v1 | Archived (408d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- evalml
- An AutoML library written in Python
- auto-evaluator
- auto-evaluator
Stars
- evalml
- 852
- auto-evaluator
- 783
Forks
- evalml
- 93
- auto-evaluator
- 102
Open issues
- evalml
- 324
- auto-evaluator
- 21
Language
- evalml
- Python
- auto-evaluator
- TypeScript
Adopt for
- evalml
- EvalML serves Python users seeking automated machine learning services with streamlined feature engineering, selection, and hyperparameter tuning, underpinned by the BSD-3-Clause license.
- auto-evaluator
- -
Persona
- evalml
- -
- auto-evaluator
- -
Runtime
- evalml
- -
- auto-evaluator
- -
License
- evalml
- EvalML uses the BSD-3-Clause license which allows free use, modification, and distribution but requires preservation of copyright notices.
- auto-evaluator
- Other
Last pushed
- evalml
- Jan 14, 2026
- auto-evaluator
- Jun 26, 2025
Categories
- evalml
- Evaluation & Observability, Model Training
- auto-evaluator
- Evaluation & Observability
Trust and health
Maintenance
- evalml
- Slowing (36%)
- auto-evaluator
- Archived (8%)
Days since push
- evalml
- 201d
- auto-evaluator
- 408d
Archived on GitHub
- evalml
- No
- auto-evaluator
- Yes
Open issues (now)
- evalml
- 324
- auto-evaluator
- 21
Full report
- evalml
- Trust report
- auto-evaluator
- Trust report
Choose evalml if…
- evalml is primarily Python; auto-evaluator is TypeScript.
- License: evalml is BSD-3-Clause, auto-evaluator is Other.
- Pricing: Access to features comes at no cost due to its open-source nature; however, premium support can be purchased..
- Requirements: Min 2 GB RAM.
- Tags unique to evalml: automl, data-science, feature-engineering, feature-selection.
- Also covers Model Training.
- You value an intuitive API for automating model training processes in Python contexts where feature engineering and selection are critical.
When NOT to use evalml
- You require deep customization of feature engineering processes that go beyond what EvalML automates out-of-the-box.
- Your team prefers tools that offer more advanced explainability features for model decisions and behavior analysis, as this is a focus area lacking specific mention in EvalML's capabilities.
Choose auto-evaluator if…
- auto-evaluator is primarily TypeScript; evalml is Python.
- License: auto-evaluator is Other, evalml is BSD-3-Clause.
- Tags unique to auto-evaluator: auto-evaluation, railway, typescript, vercel.
- Use auto-evaluator when you are working with TypeScript and need an integrated solution for evaluating AI models
When NOT to use auto-evaluator
- Avoid using auto-evaluator if you require a multi-language support environment, as it focuses solely on TypeScript
- Do not use this tool if your project's hosting requirements do not align with using Vercel or Railway
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alteryx/evalml) · observed Aug 4, 2026
- GitHub forks (alteryx/evalml) · observed Aug 4, 2026
- Last push (alteryx/evalml) · observed Jan 14, 2026
- License file (BSD-3-Clause) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langchain-ai/auto-evaluator) · observed Aug 8, 2026
- GitHub forks (langchain-ai/auto-evaluator) · observed Aug 8, 2026
- Last push (langchain-ai/auto-evaluator) · observed Jun 26, 2025
- License file (Other) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: evalml 852 · auto-evaluator 783 (synced Aug 4, 2026).
Common questions
- What is the difference between evalml and auto-evaluator?
- evalml: An AutoML library written in Python. auto-evaluator: auto-evaluator. See the comparison table for live GitHub stats and shared categories.
- When should I choose evalml over auto-evaluator?
- Choose evalml over auto-evaluator when evalml is primarily Python; auto-evaluator is TypeScript; License: evalml is BSD-3-Clause, auto-evaluator is Other; Pricing: Access to features comes at no cost due to its open-source nature; however, premium support can be purchased.; Requirements: Min 2 GB RAM; Tags unique to evalml: automl, data-science, feature-engineering, feature-selection; Also covers Model Training; You value an intuitive API for automating model training processes in Python contexts where feature engineering and selection are critical.
- When should I choose auto-evaluator over evalml?
- Choose auto-evaluator over evalml when auto-evaluator is primarily TypeScript; evalml is Python; License: auto-evaluator is Other, evalml is BSD-3-Clause; Tags unique to auto-evaluator: auto-evaluation, railway, typescript, vercel; Use auto-evaluator when you are working with TypeScript and need an integrated solution for evaluating AI models.
- When should I avoid evalml?
- You require deep customization of feature engineering processes that go beyond what EvalML automates out-of-the-box. Your team prefers tools that offer more advanced explainability features for model decisions and behavior analysis, as this is a focus area lacking specific mention in EvalML's capabilities.
- When should I avoid auto-evaluator?
- Avoid using auto-evaluator if you require a multi-language support environment, as it focuses solely on TypeScript Do not use this tool if your project's hosting requirements do not align with using Vercel or Railway
- Is evalml or auto-evaluator more popular on GitHub?
- evalml has more GitHub stars (852 vs 783). Stars measure visibility, not whether either tool fits your constraints.
- Are evalml and auto-evaluator open source?
- Yes - both are open-source projects on GitHub (evalml: BSD-3-Clause, auto-evaluator: Other).
- Where can I find alternatives to evalml or auto-evaluator?
- GraphCanon lists graph-backed alternatives at evalml alternatives and auto-evaluator alternatives (evalml markdown twin, auto-evaluator 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, evalml or auto-evaluator?
- evalml: Slowing. auto-evaluator: Archived. 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 evalml and auto-evaluator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evalml trust report; auto-evaluator trust report.