--- title: "openevolve vs Auto-PyTorch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/algorithmicsuperintelligence-openevolve-vs-automl-auto-pytorch" tools: ["algorithmicsuperintelligence-openevolve", "automl-auto-pytorch"] --- # openevolve vs Auto-PyTorch *GraphCanon updated Aug 24, 2026* ## Verdict Pick openevolve if openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution; pick Auto-PyTorch if auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch. [openevolve](https://github.com/algorithmicsuperintelligence/openevolve) reports 7.3k GitHub stars, 1.1k forks, and 116 open issues, last pushed Jul 18, 2026. [Auto-PyTorch](https://github.com/automl/Auto-PyTorch) has 2.5k stars, 303 forks, and 75 open issues, last pushed Apr 9, 2024. Figures are from public GitHub metadata via [openevolve's repository](https://github.com/algorithmicsuperintelligence/openevolve) and [Auto-PyTorch's repository](https://github.com/automl/Auto-PyTorch). | | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [Auto-PyTorch](/tools/automl-auto-pytorch.md) | | --- | --- | --- | | Tagline | Open-source implementation of AlphaEvolve evolutionary computation framework | Automatic architecture search and hyperparameter optimization for PyTorch | | Stars | 7,262 | 2,541 | | Forks | 1,139 | 303 | | Open issues | 116 | 75 | | Language | Python | Python | | Adopt for | openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution. | Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Model Training | Data & Retrieval, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [Auto-PyTorch](/tools/automl-auto-pytorch.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 37d | 846d | | Open issues (now) | 116 | 75 | | Stars delta | +469 (30d) | Unknown | | Open issues delta | +7 (30d) | Unknown | | Full report | [trust report](/tools/algorithmicsuperintelligence-openevolve/trust.md) | [trust report](/tools/automl-auto-pytorch/trust.md) | ## Shared compatibility - **Python**: [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) - Python runtime; [Auto-PyTorch](/tools/automl-auto-pytorch.md) - Python runtime ## Decision facts: openevolve - **Adopt for:** openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution. ## Decision facts: Auto-PyTorch - **Adopt for:** Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch. ## Choose when ### Choose openevolve if… - Tags unique to openevolve: alpha-evolve, alphacode, coding-agent, deepmind. - Also covers AI Agents. - When focusing on replicating or enhancing features of DeepMind's AlphaEvolve in a Python environment ### Choose Auto-PyTorch if… - Tags unique to Auto-PyTorch: automl, deep-learning, pytorch, tabular-data. - Also covers Data & Retrieval. - Use when you need to automate both architectural searches and hyperparameter tuning specifically for PyTorch-based deep learning models. ## When NOT to use openevolve - If project requires more specialized AI agents not covered by AlphaEvolve techniques - For tasks that do not benefit from the specific type of iterative refinement and model training offered by this framework ## When NOT to use Auto-PyTorch - Avoid using it if your AI development focuses on frameworks other than PyTorch. - Do not use when the requirements do not involve deep learning models or you are not interested in automating architecture search and hyperparameter tuning. ## Common questions ### What is the difference between openevolve and Auto-PyTorch? openevolve: Open-source implementation of AlphaEvolve evolutionary computation framework. Auto-PyTorch: Automatic architecture search and hyperparameter optimization for PyTorch. See the comparison table for live GitHub stats and shared categories. ### When should I choose openevolve over Auto-PyTorch? Choose openevolve over Auto-PyTorch when Tags unique to openevolve: alpha-evolve, alphacode, coding-agent, deepmind; Also covers AI Agents; When focusing on replicating or enhancing features of DeepMind's AlphaEvolve in a Python environment. ### When should I choose Auto-PyTorch over openevolve? Choose Auto-PyTorch over openevolve when Tags unique to Auto-PyTorch: automl, deep-learning, pytorch, tabular-data; Also covers Data & Retrieval; Use when you need to automate both architectural searches and hyperparameter tuning specifically for PyTorch-based deep learning models. ### When should I avoid openevolve? If project requires more specialized AI agents not covered by AlphaEvolve techniques For tasks that do not benefit from the specific type of iterative refinement and model training offered by this framework ### When should I avoid Auto-PyTorch? Avoid using it if your AI development focuses on frameworks other than PyTorch. Do not use when the requirements do not involve deep learning models or you are not interested in automating architecture search and hyperparameter tuning. ### Is openevolve or Auto-PyTorch more popular on GitHub? openevolve has more GitHub stars (7,262 vs 2,541). Stars measure visibility, not whether either tool fits your constraints. ### Are openevolve and Auto-PyTorch open source? Yes - both are open-source projects on GitHub (openevolve: Apache-2.0, Auto-PyTorch: Apache-2.0). ### Where can I find alternatives to openevolve or Auto-PyTorch? GraphCanon lists graph-backed alternatives at [openevolve alternatives](/tools/algorithmicsuperintelligence-openevolve/alternatives) and [Auto-PyTorch alternatives](/tools/automl-auto-pytorch/alternatives) ([openevolve markdown twin](/tools/algorithmicsuperintelligence-openevolve/alternatives.md), [Auto-PyTorch markdown twin](/tools/automl-auto-pytorch/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/algorithmicsuperintelligence-openevolve-vs-automl-auto-pytorch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, openevolve or Auto-PyTorch? openevolve: Steady. Auto-PyTorch: 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 openevolve and Auto-PyTorch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openevolve trust report](/tools/algorithmicsuperintelligence-openevolve/trust); [Auto-PyTorch trust report](/tools/automl-auto-pytorch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=algorithmicsuperintelligence-openevolve`](/api/graphcanon/graph?tool=algorithmicsuperintelligence-openevolve) - 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/_