---
title: "graphify vs aideml"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/graphify-labs-graphify-vs-wecoai-aideml"
tools: ["graphify-labs-graphify", "wecoai-aideml"]
---

# graphify vs aideml

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick graphify if graphify transforms codebases into a queryable knowledge graph using local deterministic AST parsing, making it a powerful tool for developers who need to analyze and query their codebase comprehensively; pick aideml if aIDE is an LLM agent for machine learning engineering, designed for automated machine learning, autonomous agents, and self-improving AI, referenced in OpenAI MLE-bench.

[graphify](https://www.graphify.com) reports 119k GitHub stars, 12k forks, and 1.4k open issues, last pushed Sep 16, 2026. [aideml](https://weco.ai) has 1.5k stars, 227 forks, and 3 open issues, last pushed Sep 3, 2026. Figures are from public GitHub metadata via [graphify's repository](https://github.com/Graphify-Labs/graphify) and [aideml's repository](https://github.com/WecoAI/aideml).

| | [graphify](/tools/graphify-labs-graphify.md) | [aideml](/tools/wecoai-aideml.md) |
| --- | --- | --- |
| Tagline | Transforms codebases into a queryable knowledge graph | AIDE: an LLM agent for machine learning engineering |
| Stars | 119,168 | 1,530 |
| Forks | 11,524 | 227 |
| Open issues | 1,394 | 3 |
| Language | Python | Python |
| Adopt for | Graphify transforms codebases into a queryable knowledge graph using local deterministic AST parsing, making it a powerful tool for developers who need to analyze and query their codebase comprehensively. | AIDE is an LLM agent for machine learning engineering, designed for automated machine learning, autonomous agents, and self-improving AI, referenced in OpenAI MLE-bench. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools, Model Training |

## Trust and health

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

| | [graphify](/tools/graphify-labs-graphify.md) | [aideml](/tools/wecoai-aideml.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 1d | 14d |
| Open issues (now) | 1.4k | 3 |
| Stars delta | +12k (30d) | +70 (30d) |
| Open issues delta | +416 (30d) | +1 (30d) |
| Full report | [trust report](/tools/graphify-labs-graphify/trust.md) | [trust report](/tools/wecoai-aideml/trust.md) |

## Decision facts: graphify

- **Pricing:** freemium - Graphify is available under the Apache-2.0 license, which is free to use, but additional features or services may be available for a fee.
- **Requirements:** Min 2 GB RAM; Ensure you install the correct PyPI package `graphifyy` (double-y) to avoid using unaffiliated packages.
- **Adopt for:** Graphify transforms codebases into a queryable knowledge graph using local deterministic AST parsing, making it a powerful tool for developers who need to analyze and query their codebase comprehensively.

## Decision facts: aideml

- **Requirements:** Min 4 GB RAM; Requires Docker; Requires Docker for deployment.; Needs an OpenAI API key for full functionality.
- **Adopt for:** AIDE is an LLM agent for machine learning engineering, designed for automated machine learning, autonomous agents, and self-improving AI, referenced in OpenAI MLE-bench.

## Choose when

### Choose graphify if…

- License: graphify is Apache-2.0, aideml is MIT.
- Pricing: Graphify is available under the Apache-2.0 license, which is free to use, but additional features or services may be available for a fee..
- Requirements: Min 2 GB RAM; Ensure you install the correct PyPI package `graphifyy` (double-y) to avoid using unaffiliated packages..
- Tags unique to graphify: ast, code-analysis, code-search, knowledge-graph.
- When you need to convert your codebase, including documentation, SQL schemas, configurations, and PDFs, into a queryable knowledge graph locally.

### Choose aideml if…

- License: aideml is MIT, graphify is Apache-2.0.
- Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment.; Needs an OpenAI API key for full functionality..
- Tags unique to aideml: ai, automated-machine-learning, autonomous-agents, autoresearch.
- Also covers Model Training.
- When you need an LLM agent that focuses on automated machine learning and autonomous agents, as AIDE is specifically designed for these purposes.

## When NOT to use graphify

- If you prefer tools that rely on vector stores for their operations, as Graphify does not use vector stores.
- When you need a tool that integrates with cloud services for parsing and querying, as Graphify operates locally.
- If you are looking for a tool that does not provide detailed explanations for every edge in the graph.

## When NOT to use aideml

- If your project does not require integration with OpenAI services, as AIDE's functionality is partly tied to OpenAI APIs.
- When you are looking for a tool that does not focus on autonomous agents or self-improving AI, as AIDE is specialized in these areas and may not be as versatile in other aspects of machine learning.

## Common questions

### What is the difference between graphify and aideml?

graphify: Transforms codebases into a queryable knowledge graph. aideml: AIDE: an LLM agent for machine learning engineering. See the comparison table for live GitHub stats and shared categories.

### When should I choose graphify over aideml?

Choose graphify over aideml when License: graphify is Apache-2.0, aideml is MIT; Pricing: Graphify is available under the Apache-2.0 license, which is free to use, but additional features or services may be available for a fee.; Requirements: Min 2 GB RAM; Ensure you install the correct PyPI package `graphifyy` (double-y) to avoid using unaffiliated packages.; Tags unique to graphify: ast, code-analysis, code-search, knowledge-graph; When you need to convert your codebase, including documentation, SQL schemas, configurations, and PDFs, into a queryable knowledge graph locally.

### When should I choose aideml over graphify?

Choose aideml over graphify when License: aideml is MIT, graphify is Apache-2.0; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment.; Needs an OpenAI API key for full functionality.; Tags unique to aideml: ai, automated-machine-learning, autonomous-agents, autoresearch; Also covers Model Training; When you need an LLM agent that focuses on automated machine learning and autonomous agents, as AIDE is specifically designed for these purposes.

### When should I avoid graphify?

If you prefer tools that rely on vector stores for their operations, as Graphify does not use vector stores. When you need a tool that integrates with cloud services for parsing and querying, as Graphify operates locally. If you are looking for a tool that does not provide detailed explanations for every edge in the graph.

### When should I avoid aideml?

If your project does not require integration with OpenAI services, as AIDE's functionality is partly tied to OpenAI APIs. When you are looking for a tool that does not focus on autonomous agents or self-improving AI, as AIDE is specialized in these areas and may not be as versatile in other aspects of machine learning.

### Is graphify or aideml more popular on GitHub?

graphify has more GitHub stars (119,168 vs 1,530). Stars measure visibility, not whether either tool fits your constraints.

### Are graphify and aideml open source?

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

### Where can I find alternatives to graphify or aideml?

GraphCanon lists graph-backed alternatives at [graphify alternatives](/tools/graphify-labs-graphify/alternatives) and [aideml alternatives](/tools/wecoai-aideml/alternatives) ([graphify markdown twin](/tools/graphify-labs-graphify/alternatives.md), [aideml markdown twin](/tools/wecoai-aideml/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/graphify-labs-graphify-vs-wecoai-aideml.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, graphify or aideml?

graphify: Very active. aideml: Active. 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 graphify and aideml?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [graphify trust report](/tools/graphify-labs-graphify/trust); [aideml trust report](/tools/wecoai-aideml/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=graphify-labs-graphify`](/api/graphcanon/graph?tool=graphify-labs-graphify)
- 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/_
