--- title: "openevolve vs palico-ai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/algorithmicsuperintelligence-openevolve-vs-palico-ai-palico-ai" tools: ["algorithmicsuperintelligence-openevolve", "palico-ai-palico-ai"] --- # openevolve vs palico-ai *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 palico-ai if palico-ai builds, improves performance of, and deploys AI applications using TypeScript. It encompasses technologies from framework development to evaluation. [openevolve](https://github.com/algorithmicsuperintelligence/openevolve) reports 7.3k GitHub stars, 1.1k forks, and 116 open issues, last pushed Jul 18, 2026. [palico-ai](https://www.palico.ai/) has 343 stars, 28 forks, and 7 open issues, last pushed Nov 26, 2024. Figures are from public GitHub metadata via [openevolve's repository](https://github.com/algorithmicsuperintelligence/openevolve) and [palico-ai's repository](https://github.com/palico-ai/palico-ai). | | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [palico-ai](/tools/palico-ai-palico-ai.md) | | --- | --- | --- | | Tagline | Open-source implementation of AlphaEvolve evolutionary computation framework | Build, Improve Performance, and Productionize your AI Application | | Stars | 7,262 | 343 | | Forks | 1,139 | 28 | | Open issues | 116 | 7 | | Language | Python | TypeScript | | Adopt for | openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution. | palico-ai builds, improves performance of, and deploys AI applications using TypeScript. It encompasses technologies from framework development to evaluation. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License allows wide reuse within any project but requires copyright and license notice preservation in source distributions. | | Categories | AI Agents, Model Training | AI Agents, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [palico-ai](/tools/palico-ai-palico-ai.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 37d | 608d | | Open issues (now) | 116 | 7 | | Stars delta | +469 (30d) | Unknown | | Open issues delta | +7 (30d) | Unknown | | Full report | [trust report](/tools/algorithmicsuperintelligence-openevolve/trust.md) | [trust report](/tools/palico-ai-palico-ai/trust.md) | ## Shared compatibility - **Node.js**: [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) - Node.js runtime; [palico-ai](/tools/palico-ai-palico-ai.md) - Node.js runtime ## Decision facts: openevolve - **Adopt for:** openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution. ## Decision facts: palico-ai - **Requirements:** Requires Docker; Requires Docker for certain functionalities; Primarily uses TypeScript, proficiency with this language is beneficial - **Adopt for:** palico-ai builds, improves performance of, and deploys AI applications using TypeScript. It encompasses technologies from framework development to evaluation. - **License detail:** MIT License allows wide reuse within any project but requires copyright and license notice preservation in source distributions. ## Choose when ### Choose openevolve if… - openevolve is primarily Python; palico-ai is TypeScript. - License: openevolve is Apache-2.0, palico-ai is MIT. - Tags unique to openevolve: alpha-evolve, alphacode, coding-agent, deepmind. - openevolve ships Docker support for self-hosted deployment. - When focusing on replicating or enhancing features of DeepMind's AlphaEvolve in a Python environment ### Choose palico-ai if… - palico-ai is primarily TypeScript; openevolve is Python. - License: palico-ai is MIT, openevolve is Apache-2.0. - Requirements: Requires Docker; Requires Docker for certain functionalities; Primarily uses TypeScript, proficiency with this language is beneficial. - Tags unique to palico-ai: ai, anthropic, autogen, docker. - Also covers Evaluation & Observability, Inference & Serving, LLM Frameworks. - When your project requires comprehensive tools for building, optimizing, and deploying AI apps specifically in a TypeScript environment ## 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 palico-ai - If your primary programming language is not TypeScript or Node.js, as palico-ai heavily relies on these technologies - When seeking a solution that requires less integration effort with existing frameworks outside of the listed supported areas such as anthropic, autogen, and portkey ## Common questions ### What is the difference between openevolve and palico-ai? openevolve: Open-source implementation of AlphaEvolve evolutionary computation framework. palico-ai: Build, Improve Performance, and Productionize your AI Application. See the comparison table for live GitHub stats and shared categories. ### When should I choose openevolve over palico-ai? Choose openevolve over palico-ai when openevolve is primarily Python; palico-ai is TypeScript; License: openevolve is Apache-2.0, palico-ai is MIT; Tags unique to openevolve: alpha-evolve, alphacode, coding-agent, deepmind; 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 palico-ai over openevolve? Choose palico-ai over openevolve when palico-ai is primarily TypeScript; openevolve is Python; License: palico-ai is MIT, openevolve is Apache-2.0; Requirements: Requires Docker; Requires Docker for certain functionalities; Primarily uses TypeScript, proficiency with this language is beneficial; Tags unique to palico-ai: ai, anthropic, autogen, docker; Also covers Evaluation & Observability, Inference & Serving, LLM Frameworks; When your project requires comprehensive tools for building, optimizing, and deploying AI apps specifically in a TypeScript environment. ### 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 palico-ai? If your primary programming language is not TypeScript or Node.js, as palico-ai heavily relies on these technologies When seeking a solution that requires less integration effort with existing frameworks outside of the listed supported areas such as anthropic, autogen, and portkey ### Is openevolve or palico-ai more popular on GitHub? openevolve has more GitHub stars (7,262 vs 343). Stars measure visibility, not whether either tool fits your constraints. ### Are openevolve and palico-ai open source? Yes - both are open-source projects on GitHub (openevolve: Apache-2.0, palico-ai: MIT). ### Where can I find alternatives to openevolve or palico-ai? GraphCanon lists graph-backed alternatives at [openevolve alternatives](/tools/algorithmicsuperintelligence-openevolve/alternatives) and [palico-ai alternatives](/tools/palico-ai-palico-ai/alternatives) ([openevolve markdown twin](/tools/algorithmicsuperintelligence-openevolve/alternatives.md), [palico-ai markdown twin](/tools/palico-ai-palico-ai/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-palico-ai-palico-ai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, openevolve or palico-ai? openevolve: Steady. palico-ai: 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 palico-ai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openevolve trust report](/tools/algorithmicsuperintelligence-openevolve/trust); [palico-ai trust report](/tools/palico-ai-palico-ai/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/_