Comparison
flyte vs dify
Verdict
Pick flyte if flyte is ideal for organizations that require a scalable and resilient environment to manage complex AI workflows involving data, models, and computations; 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.
Markdown twin · flyte alternatives · dify alternatives
GraphCanon updated Oct 4, 2026
7views this month
Trust & integrity
| Signal | flyte | dify |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 19, 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 19, 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 Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Oct 4, 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
- flyte
- Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
- dify
- Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
Stars
- flyte
- 7.5k
- dify
- 156k
Forks
- flyte
- 888
- dify
- 25k
Open issues
- flyte
- 175
- dify
- 1.1k
Language
- flyte
- Go
- dify
- TypeScript
Adopt for
- flyte
- Flyte is ideal for organizations that require a scalable and resilient environment to manage complex AI workflows involving data, models, and computations.
- 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.
Persona
- flyte
- -
- dify
- -
Runtime
- flyte
- -
- dify
- -
License
- flyte
- Apache-2.0
- dify
- Other
Last pushed
- flyte
- Sep 18, 2026
- dify
- Sep 18, 2026
Categories
- flyte
- AI Agents, Data & Retrieval, Developer Tools, Model Training
- dify
- AI Agents, Data & Retrieval, Developer Tools
Trust and health
Open issues (now)
- flyte
- 175
- dify
- 1.1k
Stars delta
- flyte
- +381 (30d)
- dify
- +4.5k (30d)
Open issues delta
- flyte
- -24 (30d)
- dify
- +172 (30d)
Full report
- flyte
- Trust report
- dify
- Trust report
Choose flyte if…
- flyte is primarily Go; dify is TypeScript.
- License: flyte is Apache-2.0, dify is Other.
- Tags unique to flyte: agentic, ai development tools, ai-agents, data-analysis.
- Also covers Model Training.
- flyte ships Docker support for self-hosted deployment.
- You need robust orchestration for deploying machine learning pipelines in production environments with dynamic scaling.
When NOT to use flyte
- If your organization strictly uses Python-based environments without plans to integrate Go or GRPC, Flyte's utility may be diminished.
- For smaller-scale projects that do not require high levels of scalability or complexity in orchestration, using Flyte might introduce unnecessary overhead.
Choose dify if…
- dify is primarily TypeScript; flyte is Go.
- License: dify is Other, flyte is Apache-2.0.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (flyteorg/flyte) · observed Sep 20, 2026
- GitHub forks (flyteorg/flyte) · observed Sep 20, 2026
- Last push (flyteorg/flyte) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: flyte 7.5k · dify 156k (synced Sep 20, 2026).
Common questions
- What is the difference between flyte and dify?
- flyte: Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.. dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. See the comparison table for live GitHub stats and shared categories.
- When should I choose flyte over dify?
- Choose flyte over dify when flyte is primarily Go; dify is TypeScript; License: flyte is Apache-2.0, dify is Other; Tags unique to flyte: agentic, ai development tools, ai-agents, data-analysis; Also covers Model Training; flyte ships Docker support for self-hosted deployment; You need robust orchestration for deploying machine learning pipelines in production environments with dynamic scaling.
- When should I choose dify over flyte?
- Choose dify over flyte when dify is primarily TypeScript; flyte is Go; License: dify is Other, flyte is Apache-2.0; 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 avoid flyte?
- If your organization strictly uses Python-based environments without plans to integrate Go or GRPC, Flyte's utility may be diminished. For smaller-scale projects that do not require high levels of scalability or complexity in orchestration, using Flyte might introduce unnecessary overhead.
- 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.
- Is flyte or dify more popular on GitHub?
- dify has more GitHub stars (156,243 vs 7,530). Stars measure visibility, not whether either tool fits your constraints.
- Are flyte and dify open source?
- Yes - both are open-source projects on GitHub (flyte: Apache-2.0, dify: Other).
- Where can I find alternatives to flyte or dify?
- GraphCanon lists graph-backed alternatives at flyte alternatives and dify alternatives (flyte markdown twin, dify 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, flyte or dify?
- flyte: Very active. dify: 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 flyte and dify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: flyte trust report; dify trust report.