Comparison
dify vs onyx
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 onyx if onyx is an open-source AI platform that supports AI chat functionalities with advanced features, suitable for deployment in various environments including Docker, Kubernetes, and cloud providers. It offers both Lite.
Markdown twin · dify alternatives · onyx alternatives
GraphCanon updated Oct 4, 2026
5views this month
Trust & integrity
| Signal | dify | onyx |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Oct 4, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 20, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dify
- Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
- onyx
- Open Source AI Platform - AI Chat with advanced features that works with every LLM
Stars
- dify
- 156k
- onyx
- 32k
Forks
- dify
- 25k
- onyx
- 4.5k
Open issues
- dify
- 1.1k
- onyx
- 470
Language
- dify
- TypeScript
- onyx
- Python
Adopt for
- dify
- 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.
- onyx
- Onyx is an open-source AI platform that supports AI chat functionalities with advanced features, suitable for deployment in various environments including Docker, Kubernetes, and cloud providers. It offers both Lite and,
Persona
- dify
- -
- onyx
- -
Runtime
- dify
- -
- onyx
- -
License
- dify
- Other
- onyx
- Onyx is available in two editions: Community Edition (CE) under the MIT license, which covers core features, and Enterprise Edition (EE) with additional features for larger organizations.
Last pushed
- dify
- Sep 18, 2026
- onyx
- Sep 18, 2026
Categories
- dify
- AI Agents, Data & Retrieval, Developer Tools
- onyx
- AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training
Trust and health
Open issues (now)
- dify
- 1.1k
- onyx
- 470
Stars delta
- dify
- +4.5k (30d)
- onyx
- +536 (30d)
Open issues delta
- dify
- +172 (30d)
- onyx
- +69 (30d)
Full report
- dify
- Trust report
- onyx
- Trust report
Choose dify if…
- dify is primarily TypeScript; onyx is Python.
- Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow.
- When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
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.
Choose onyx if…
- onyx is primarily Python; dify is TypeScript.
- Pricing: Onyx Community Edition is free under the MIT license, while the Enterprise Edition includes extra features for larger organizations and requires a paid subscription..
- Requirements: Min 1 GB RAM; Lite mode requires under 1GB of memory, while Standard mode requires more resources for its additional features..
- Tags unique to onyx: ai-chat, chatui, enterprise-search, gen-ai.
- Also covers Inference & Serving, Model Training.
- use Onyx when you need a platform that supports both lightweight and full-featured deployments, including vector and keyword indexing, and performance optimizations for large-scale use.
When NOT to use onyx
- avoid Onyx if you are looking for a platform that requires minimal setup and resource usage beyond what the Lite mode offers.
- do not use Onyx if your project does not benefit from vector and keyword indexing, AI model inference servers, or performance optimizations, as these features are only available in the Standard mode.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langgenius/dify) · observed Sep 20, 2026
- GitHub forks (langgenius/dify) · observed Sep 20, 2026
- Last push (langgenius/dify) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Oct 4, 2026
- GitHub stars (onyx-dot-app/onyx) · observed Sep 20, 2026
- GitHub forks (onyx-dot-app/onyx) · observed Sep 20, 2026
- Last push (onyx-dot-app/onyx) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 20, 2026
GitHub stars on cards: dify 156k · onyx 32k (synced Sep 20, 2026).
Common questions
- What is the difference between dify and onyx?
- dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. onyx: Open Source AI Platform - AI Chat with advanced features that works with every LLM. See the comparison table for live GitHub stats and shared categories.
- When should I choose dify over onyx?
- Choose dify over onyx when dify is primarily TypeScript; onyx is Python; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
- When should I choose onyx over dify?
- Choose onyx over dify when onyx is primarily Python; dify is TypeScript; Pricing: Onyx Community Edition is free under the MIT license, while the Enterprise Edition includes extra features for larger organizations and requires a paid subscription.; Requirements: Min 1 GB RAM; Lite mode requires under 1GB of memory, while Standard mode requires more resources for its additional features.; Tags unique to onyx: ai-chat, chatui, enterprise-search, gen-ai; Also covers Inference & Serving, Model Training; use Onyx when you need a platform that supports both lightweight and full-featured deployments, including vector and keyword indexing, and performance optimizations for large-scale use.
- 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 onyx?
- avoid Onyx if you are looking for a platform that requires minimal setup and resource usage beyond what the Lite mode offers. do not use Onyx if your project does not benefit from vector and keyword indexing, AI model inference servers, or performance optimizations, as these features are only available in the Standard mode.
- Is dify or onyx more popular on GitHub?
- dify has more GitHub stars (156,243 vs 32,153). Stars measure visibility, not whether either tool fits your constraints.
- Are dify and onyx open source?
- Yes - both are open-source projects on GitHub (dify: Other, onyx: Other).
- Where can I find alternatives to dify or onyx?
- GraphCanon lists graph-backed alternatives at dify alternatives and onyx alternatives (dify markdown twin, onyx markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, dify or onyx?
- dify: Very active. onyx: Very 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 onyx?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dify trust report; onyx trust report.