--- title: "openevolve vs autoai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/algorithmicsuperintelligence-openevolve-vs-blobcity-autoai" tools: ["algorithmicsuperintelligence-openevolve", "blobcity-autoai"] --- # openevolve vs autoai *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 autoai if python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation. [openevolve](https://github.com/algorithmicsuperintelligence/openevolve) reports 7.3k GitHub stars, 1.1k forks, and 116 open issues, last pushed Jul 18, 2026. [autoai](https://github.com/blobcity/autoai) has 186 stars, 46 forks, and 9 open issues, last pushed Mar 25, 2025. Figures are from public GitHub metadata via [openevolve's repository](https://github.com/algorithmicsuperintelligence/openevolve) and [autoai's repository](https://github.com/blobcity/autoai). | | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [autoai](/tools/blobcity-autoai.md) | | --- | --- | --- | | Tagline | Open-source implementation of AlphaEvolve evolutionary computation framework | Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation | | Stars | 7,262 | 186 | | Forks | 1,139 | 46 | | Open issues | 116 | 9 | | Language | Python | Python | | Adopt for | openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution. | Python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [autoai](/tools/blobcity-autoai.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 37d | 496d | | Open issues (now) | 116 | 9 | | Stars delta | +469 (30d) | Unknown | | Open issues delta | +7 (30d) | Unknown | | Full report | [trust report](/tools/algorithmicsuperintelligence-openevolve/trust.md) | [trust report](/tools/blobcity-autoai/trust.md) | ## Shared compatibility - **Python**: [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) - Python runtime; [autoai](/tools/blobcity-autoai.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: autoai - **Adopt for:** Python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation. ## Choose when ### Choose openevolve if… - Tags unique to openevolve: alpha-evolve, alphacode, coding-agent, deepmind. - Also covers AI Agents. - openevolve ships Docker support for self-hosted deployment. - When focusing on replicating or enhancing features of DeepMind's AlphaEvolve in a Python environment ### Choose autoai if… - Tags unique to autoai: ai, autoai, automl, codegen. - Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets. - Leaner open-issue backlog (9). ## 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 autoai - Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing. - Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format. ## Common questions ### What is the difference between openevolve and autoai? openevolve: Open-source implementation of AlphaEvolve evolutionary computation framework. autoai: Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation. See the comparison table for live GitHub stats and shared categories. ### When should I choose openevolve over autoai? Choose openevolve over autoai when Tags unique to openevolve: alpha-evolve, alphacode, coding-agent, deepmind; Also covers AI Agents; openevolve ships Docker support for self-hosted deployment; When focusing on replicating or enhancing features of DeepMind's AlphaEvolve in a Python environment. ### When should I choose autoai over openevolve? Choose autoai over openevolve when Tags unique to autoai: ai, autoai, automl, codegen; Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets; Leaner open-issue backlog (9). ### 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 autoai? Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing. Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format. ### Is openevolve or autoai more popular on GitHub? openevolve has more GitHub stars (7,262 vs 186). Stars measure visibility, not whether either tool fits your constraints. ### Are openevolve and autoai open source? Yes - both are open-source projects on GitHub (openevolve: Apache-2.0, autoai: Apache-2.0). ### Where can I find alternatives to openevolve or autoai? GraphCanon lists graph-backed alternatives at [openevolve alternatives](/tools/algorithmicsuperintelligence-openevolve/alternatives) and [autoai alternatives](/tools/blobcity-autoai/alternatives) ([openevolve markdown twin](/tools/algorithmicsuperintelligence-openevolve/alternatives.md), [autoai markdown twin](/tools/blobcity-autoai/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-blobcity-autoai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, openevolve or autoai? openevolve: Steady. autoai: 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 autoai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openevolve trust report](/tools/algorithmicsuperintelligence-openevolve/trust); [autoai trust report](/tools/blobcity-autoai/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/_