---
title: "openevolve vs OpenAlpha_Evolve"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/algorithmicsuperintelligence-openevolve-vs-shyamsaktawat-openalpha-evolve"
tools: ["algorithmicsuperintelligence-openevolve", "shyamsaktawat-openalpha-evolve"]
---

# openevolve vs OpenAlpha_Evolve

*GraphCanon updated Aug 25, 2026*

## Verdict

Pick openevolve if openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution; pick OpenAlpha_Evolve if autonomous coding agents evolve via advanced algorithms.

[openevolve](https://github.com/algorithmicsuperintelligence/openevolve) reports 7.3k GitHub stars, 1.1k forks, and 116 open issues, last pushed Jul 18, 2026. [OpenAlpha_Evolve](https://github.com/shyamsaktawat/OpenAlpha_Evolve) has 1.0k stars, 154 forks, and 10 open issues, last pushed May 31, 2025. Figures are from public GitHub metadata via [openevolve's repository](https://github.com/algorithmicsuperintelligence/openevolve) and [OpenAlpha_Evolve's repository](https://github.com/shyamsaktawat/OpenAlpha_Evolve).

| | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [OpenAlpha_Evolve](/tools/shyamsaktawat-openalpha-evolve.md) |
| --- | --- | --- |
| Tagline | Open-source implementation of AlphaEvolve evolutionary computation framework | Framework for autonomous coding agents using evolutionary algorithms |
| Stars | 7,262 | 1,048 |
| Forks | 1,139 | 154 |
| Open issues | 116 | 10 |
| Language | Python | Python |
| Adopt for | openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution. | Autonomous coding agents evolve via advanced algorithms. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT License allows modification and distribution with attribution required |
| Categories | AI Agents, Model Training | LLM Frameworks, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [OpenAlpha_Evolve](/tools/shyamsaktawat-openalpha-evolve.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Dormant (18%) |
| Days since push | 37d | 450d |
| Open issues (now) | 116 | 10 |
| Stars delta | +469 (30d) | +8 (30d) |
| Open issues delta | +7 (30d) | +1 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/algorithmicsuperintelligence-openevolve/trust.md) | [trust report](/tools/shyamsaktawat-openalpha-evolve/trust.md) |

## Shared compatibility

- **Python**: [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) - Python runtime; [OpenAlpha_Evolve](/tools/shyamsaktawat-openalpha-evolve.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: OpenAlpha_Evolve

- **Adopt for:** Autonomous coding agents evolve via advanced algorithms.
- **License detail:** MIT License allows modification and distribution with attribution required

## Choose when

### Choose openevolve if…

- License: openevolve is Apache-2.0, OpenAlpha_Evolve is MIT.
- Tags unique to openevolve: alpha-evolve, coding-agent, deepmind, evolutionary-computation.
- 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 OpenAlpha_Evolve if…

- License: OpenAlpha_Evolve is MIT, openevolve is Apache-2.0.
- Tags unique to OpenAlpha_Evolve: autonomous-coding-agents, evolutionary-algorithm, llm-engineering.
- Also covers LLM Frameworks.
- Integration of iterative refinement into code generation processes

## 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 OpenAlpha_Evolve

- When needing immediate, human-tuned feedback for code improvements
- For projects preferring deterministic outcomes over evolved solutions

## Common questions

### What is the difference between openevolve and OpenAlpha_Evolve?

openevolve: Open-source implementation of AlphaEvolve evolutionary computation framework. OpenAlpha_Evolve: Framework for autonomous coding agents using evolutionary algorithms. See the comparison table for live GitHub stats and shared categories.

### When should I choose openevolve over OpenAlpha_Evolve?

Choose openevolve over OpenAlpha_Evolve when License: openevolve is Apache-2.0, OpenAlpha_Evolve is MIT; Tags unique to openevolve: alpha-evolve, coding-agent, deepmind, evolutionary-computation; 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 OpenAlpha_Evolve over openevolve?

Choose OpenAlpha_Evolve over openevolve when License: OpenAlpha_Evolve is MIT, openevolve is Apache-2.0; Tags unique to OpenAlpha_Evolve: autonomous-coding-agents, evolutionary-algorithm, llm-engineering; Also covers LLM Frameworks; Integration of iterative refinement into code generation processes.

### 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 OpenAlpha_Evolve?

When needing immediate, human-tuned feedback for code improvements For projects preferring deterministic outcomes over evolved solutions

### Is openevolve or OpenAlpha_Evolve more popular on GitHub?

openevolve has more GitHub stars (7,262 vs 1,048). Stars measure visibility, not whether either tool fits your constraints.

### Are openevolve and OpenAlpha_Evolve open source?

Yes - both are open-source projects on GitHub (openevolve: Apache-2.0, OpenAlpha_Evolve: MIT).

### Where can I find alternatives to openevolve or OpenAlpha_Evolve?

GraphCanon lists graph-backed alternatives at [openevolve alternatives](/tools/algorithmicsuperintelligence-openevolve/alternatives) and [OpenAlpha_Evolve alternatives](/tools/shyamsaktawat-openalpha-evolve/alternatives) ([openevolve markdown twin](/tools/algorithmicsuperintelligence-openevolve/alternatives.md), [OpenAlpha_Evolve markdown twin](/tools/shyamsaktawat-openalpha-evolve/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-shyamsaktawat-openalpha-evolve.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, openevolve or OpenAlpha_Evolve?

openevolve: Steady. OpenAlpha_Evolve: 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 OpenAlpha_Evolve?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openevolve trust report](/tools/algorithmicsuperintelligence-openevolve/trust); [OpenAlpha_Evolve trust report](/tools/shyamsaktawat-openalpha-evolve/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/_
