--- title: "devol vs archai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/joeddav-devol-vs-microsoft-archai" tools: ["joeddav-devol", "microsoft-archai"] --- # devol vs archai *GraphCanon updated Aug 4, 2026* ## Verdict Pick devol if devolution of neural network architectures through genetic algorithms in Keras for automating design; pick archai if archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch. [devol](https://github.com/joeddav/devol) reports 951 GitHub stars, 114 forks, and 7 open issues, last pushed May 25, 2023. [archai](https://microsoft.github.io/archai) has 485 stars, 93 forks, and 4 open issues, last pushed Nov 24, 2025. Figures are from public GitHub metadata via [devol's repository](https://github.com/joeddav/devol) and [archai's repository](https://github.com/microsoft/archai). | | [devol](/tools/joeddav-devol.md) | [archai](/tools/microsoft-archai.md) | | --- | --- | --- | | Tagline | Genetic neural architecture search for deep learning models | Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research. | | Stars | 951 | 485 | | Forks | 114 | 93 | | Open issues | 7 | 4 | | Language | Python | Python | | Adopt for | Devolution of neural network architectures through genetic algorithms in Keras for automating design. | Archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [devol](/tools/joeddav-devol.md) | [archai](/tools/microsoft-archai.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1166d | 252d | | Open issues (now) | 7 | 4 | | Owner type | User | Organization | | Full report | [trust report](/tools/joeddav-devol/trust.md) | [trust report](/tools/microsoft-archai/trust.md) | ## Decision facts: devol - **Pricing:** freemium - 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. - **Adopt for:** Devolution of neural network architectures through genetic algorithms in Keras for automating design. ## Decision facts: archai - **Adopt for:** Archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch. ## Choose when ### Choose devol if… - 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, keras, machine-learning. - 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. ### Choose archai if… - Tags unique to archai: automated-machine-learning, darts, hyperparameter-optimization, model-compression. - Need rapid iteration in NAS projects while ensuring reproducibility - More recently updated (last pushed Nov 24, 2025). ## 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. ## When NOT to use archai - Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions - Development occurs outside Python 3.8+, limiting the application of Archai tools ## Common questions ### What is the difference between devol and archai? devol: Genetic neural architecture search for deep learning models. archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. See the comparison table for live GitHub stats and shared categories. ### When should I choose devol over archai? Choose devol over archai when 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, keras, machine-learning; 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 archai over devol? Choose archai over devol when Tags unique to archai: automated-machine-learning, darts, hyperparameter-optimization, model-compression; Need rapid iteration in NAS projects while ensuring reproducibility; More recently updated (last pushed Nov 24, 2025). ### 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 archai? Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions Development occurs outside Python 3.8+, limiting the application of Archai tools ### Is devol or archai more popular on GitHub? devol has more GitHub stars (951 vs 485). Stars measure visibility, not whether either tool fits your constraints. ### Are devol and archai open source? Yes - both are open-source projects on GitHub (devol: MIT, archai: MIT). ### Where can I find alternatives to devol or archai? GraphCanon lists graph-backed alternatives at [devol alternatives](/tools/joeddav-devol/alternatives) and [archai alternatives](/tools/microsoft-archai/alternatives) ([devol markdown twin](/tools/joeddav-devol/alternatives.md), [archai markdown twin](/tools/microsoft-archai/alternatives.md)), 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](/compare/joeddav-devol-vs-microsoft-archai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, devol or archai? devol: Dormant. archai: 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 archai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [devol trust report](/tools/joeddav-devol/trust); [archai trust report](/tools/microsoft-archai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=joeddav-devol`](/api/graphcanon/graph?tool=joeddav-devol) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_