Comparison
devol vs autokeras
Verdict
Pick devol if devolution of neural network architectures through genetic algorithms in Keras for automating design; pick autokeras if autoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
Markdown twin · devol alternatives · autokeras alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | devol | autokeras |
|---|---|---|
| Maintenance | Dormant (1166d since push) As of 2w · github_public_v1 | Slowing (251d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal 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
- devol
- Genetic neural architecture search for deep learning models
- autokeras
- AutoML library for deep learning
Stars
- devol
- 951
- autokeras
- 9.3k
Forks
- devol
- 114
- autokeras
- 1.4k
Open issues
- devol
- 7
- autokeras
- 161
Language
- devol
- Python
- autokeras
- Python
Adopt for
- devol
- Devolution of neural network architectures through genetic algorithms in Keras for automating design.
- autokeras
- AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
Persona
- devol
- -
- autokeras
- -
Runtime
- devol
- -
- autokeras
- -
License
- devol
- MIT
- autokeras
- Apache-2.0
Last pushed
- devol
- May 25, 2023
- autokeras
- Nov 25, 2025
Categories
- devol
- Model Training
- autokeras
- Developer Tools, Model Training
Trust and health
Maintenance
- devol
- Dormant (18%)
- autokeras
- Slowing (36%)
Days since push
- devol
- 1166d
- autokeras
- 251d
Open issues (now)
- devol
- 7
- autokeras
- 161
Owner type
- devol
- User
- autokeras
- Organization
Full report
- devol
- Trust report
- autokeras
- Trust report
Choose devol if…
- License: devol is MIT, autokeras is Apache-2.0.
- Pricing: Available under MIT license meaning it is free for personal and commercial use but the author cannot be held responsible or liable from damages caused by using DEvol..
- Tags unique to devol: computer-vision, genetic-algorithm.
- Use DEvol when you need an early proof-of-concept tool to automate the design of neural network architectures with limited parameters, focusing specifically on classification problems.
When NOT to use devol
- Avoid using DEvol in situations requiring deep or highly complex architectures due to the significant computational expense associated with evolutionary search over such a large parameter space.
- Do not use if you lack the infrastructure for parallel processing or do not want to optimize for shorter training epochs, as this can affect model accuracy and fitness evaluations.
Choose autokeras if…
- License: autokeras is Apache-2.0, devol is MIT.
- Tags unique to autokeras: autodl, tensorflow.
- Also covers Developer Tools.
- When your project involves deep learning tasks requiring minimal manual intervention in designing models.
When NOT to use autokeras
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible.
- If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (joeddav/devol) · observed Aug 4, 2026
- GitHub forks (joeddav/devol) · observed Aug 4, 2026
- Last push (joeddav/devol) · observed May 25, 2023
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (keras-team/autokeras) · observed Aug 4, 2026
- GitHub forks (keras-team/autokeras) · observed Aug 4, 2026
- Last push (keras-team/autokeras) · observed Nov 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 on cards: devol 951 · autokeras 9.3k (synced Aug 4, 2026).
Common questions
- What is the difference between devol and autokeras?
- devol: Genetic neural architecture search for deep learning models. autokeras: AutoML library for deep learning. See the comparison table for live GitHub stats and shared categories.
- When should I choose devol over autokeras?
- Choose devol over autokeras when License: devol is MIT, autokeras is Apache-2.0; Pricing: Available under MIT license meaning it is free for personal and commercial use but the author cannot be held responsible or liable from damages caused by using DEvol.; Tags unique to devol: computer-vision, genetic-algorithm; Use DEvol when you need an early proof-of-concept tool to automate the design of neural network architectures with limited parameters, focusing specifically on classification problems.
- When should I choose autokeras over devol?
- Choose autokeras over devol when License: autokeras is Apache-2.0, devol is MIT; Tags unique to autokeras: autodl, tensorflow; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
- When should I avoid devol?
- Avoid using DEvol in situations requiring deep or highly complex architectures due to the significant computational expense associated with evolutionary search over such a large parameter space. Do not use if you lack the infrastructure for parallel processing or do not want to optimize for shorter training epochs, as this can affect model accuracy and fitness evaluations.
- When should I avoid autokeras?
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible. If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
- Is devol or autokeras more popular on GitHub?
- autokeras has more GitHub stars (9,328 vs 951). Stars measure visibility, not whether either tool fits your constraints.
- Are devol and autokeras open source?
- Yes - both are open-source projects on GitHub (devol: MIT, autokeras: Apache-2.0).
- Where can I find alternatives to devol or autokeras?
- GraphCanon lists graph-backed alternatives at devol alternatives and autokeras alternatives (devol markdown twin, autokeras 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, devol or autokeras?
- devol: Dormant. autokeras: 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 devol and autokeras?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: devol trust report; autokeras trust report.