--- title: "dify vs aideml" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langgenius-dify-vs-wecoai-aideml" tools: ["langgenius-dify", "wecoai-aideml"] --- # dify vs aideml *GraphCanon updated Oct 4, 2026* ## Verdict Pick dify if dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments; 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. [dify](https://dify.ai) reports 156k GitHub stars, 25k forks, and 1.1k open issues, last pushed Sep 18, 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 [dify's repository](https://github.com/langgenius/dify) and [aideml's repository](https://github.com/WecoAI/aideml). | | [dify](/tools/langgenius-dify.md) | [aideml](/tools/wecoai-aideml.md) | | --- | --- | --- | | Tagline | Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace. | AIDE: an LLM agent for machine learning engineering | | Stars | 156,243 | 1,530 | | Forks | 24,675 | 227 | | Open issues | 1,103 | 3 | | Language | TypeScript | Python | | Adopt for | Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. | 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 | Other | MIT | | Categories | AI Agents, Data & Retrieval, Developer Tools | AI Agents, Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dify](/tools/langgenius-dify.md) | [aideml](/tools/wecoai-aideml.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 14d | | Open issues (now) | 1.1k | 3 | | Stars delta | +4.5k (30d) | +70 (30d) | | Open issues delta | +172 (30d) | +1 (30d) | | Full report | [trust report](/tools/langgenius-dify/trust.md) | [trust report](/tools/wecoai-aideml/trust.md) | ## Decision facts: dify - **Adopt for:** Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. ## 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 dify if… - dify is primarily TypeScript; aideml is Python. - License: dify is Other, aideml is MIT. - Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow. - Also covers Data & Retrieval. - When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines. ### Choose aideml if… - aideml is primarily Python; dify is TypeScript. - License: aideml is MIT, dify is Other. - Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment.; Needs an OpenAI API key for full functionality.. - Tags unique to aideml: ai-agents, automated-machine-learning, autonomous-agents, autoresearch. - Also covers Model Training. - aideml ships Docker support for self-hosted deployment. - 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 dify - If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. - When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. - If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions. ## 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 dify and aideml? dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. aideml: AIDE: an LLM agent for machine learning engineering. See the comparison table for live GitHub stats and shared categories. ### When should I choose dify over aideml? Choose dify over aideml when dify is primarily TypeScript; aideml is Python; License: dify is Other, aideml is MIT; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers Data & Retrieval; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines. ### When should I choose aideml over dify? Choose aideml over dify when aideml is primarily Python; dify is TypeScript; License: aideml is MIT, dify is Other; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment.; Needs an OpenAI API key for full functionality.; Tags unique to aideml: ai-agents, automated-machine-learning, autonomous-agents, autoresearch; Also covers Model Training; aideml ships Docker support for self-hosted deployment; 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 dify? If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions. ### 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 dify or aideml more popular on GitHub? dify has more GitHub stars (156,243 vs 1,530). Stars measure visibility, not whether either tool fits your constraints. ### Are dify and aideml open source? Yes - both are open-source projects on GitHub (dify: Other, aideml: MIT). ### Where can I find alternatives to dify or aideml? GraphCanon lists graph-backed alternatives at [dify alternatives](/tools/langgenius-dify/alternatives) and [aideml alternatives](/tools/wecoai-aideml/alternatives) ([dify markdown twin](/tools/langgenius-dify/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/langgenius-dify-vs-wecoai-aideml.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dify or aideml? dify: 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 dify and aideml? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dify trust report](/tools/langgenius-dify/trust); [aideml trust report](/tools/wecoai-aideml/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langgenius-dify`](/api/graphcanon/graph?tool=langgenius-dify) - 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/_