Comparison
daytona vs dify
Verdict
Pick daytona if daytona, known for its secure and elastic infrastructure tailored specifically to run AI-generated code, stands distinct in the developer tools landscape; 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 · daytona alternatives · dify alternatives
GraphCanon updated Oct 4, 2026
14views this month
Trust & integrity
| Signal | daytona | dify |
|---|---|---|
| Maintenance | Steady (57d since push) As of Sep 20, 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 20, 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
- daytona
- Secure and Elastic Infrastructure for Running AI-Generated Code
- dify
- Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
Stars
- daytona
- 72k
- dify
- 156k
Forks
- daytona
- 5.6k
- dify
- 25k
Open issues
- daytona
- 457
- dify
- 1.1k
Language
- daytona
- -
- dify
- TypeScript
Adopt for
- daytona
- Daytona, known for its secure and elastic infrastructure tailored specifically to run AI-generated code, stands distinct in the developer tools landscape.
- 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
- daytona
- -
- dify
- -
Runtime
- daytona
- -
- dify
- -
License
- daytona
- The license details for Daytona are unknown at present.
- dify
- Other
Last pushed
- daytona
- Jul 24, 2026
- dify
- Sep 18, 2026
Categories
- daytona
- AI Agents, Developer Tools
- dify
- AI Agents, Data & Retrieval, Developer Tools
Trust and health
Maintenance
- daytona
- Steady (60%)
- dify
- Very active (96%)
Days since push
- daytona
- 57d
- dify
- 0d
Open issues (now)
- daytona
- 457
- dify
- 1.1k
Stars delta
- daytona
- -220 (30d)
- dify
- +4.5k (30d)
Open issues delta
- daytona
- +15 (30d)
- dify
- +172 (30d)
Full report
- daytona
- Trust report
- dify
- Trust report
Typed relationship
daytona alternative difyDaytona and Dify both cater to the development of agentic workflow environments, providing infrastructure for executing AI-generated code or coordinating agent operations.
Choose daytona if…
- Requirements: While creating and managing sandboxes in Daytona, users require an API key to authenticate their requests..
- Daytona and Dify both cater to the development of agentic workflow environments, providing infrastructure for executing AI-generated code or coordinating agent operations.
- Tags unique to daytona: ai-runtime, ai-sandboxes, code-execution, code-interpreter.
- When your project requires running AI-generated code securely and you need an on-demand scalable environment that adjusts automatically based on demand.
When NOT to use daytona
- Avoid using Daytona if you have strict requirements for the programming languages it supports, since this information is currently unknown.
- Daytona might not be suitable if your development workflow does not require API access or an online dashboard, as its user interface and API integration are key components.
Choose dify if…
- Daytona and Dify both cater to the development of agentic workflow environments, providing infrastructure for executing AI-generated code or coordinating agent operations.
- Tags unique to dify: agent, agentic-ai, agentic-framework, ai.
- 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 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 (daytonaio/daytona) · observed Sep 20, 2026
- GitHub forks (daytonaio/daytona) · observed Sep 20, 2026
- Last push (daytonaio/daytona) · observed Jul 24, 2026
- License file (unknown) · 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: daytona 72k · dify 156k (synced Sep 20, 2026).
Common questions
- What is the difference between daytona and dify?
- daytona: Secure and Elastic Infrastructure for Running AI-Generated Code. 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 daytona over dify?
- Choose daytona over dify when Requirements: While creating and managing sandboxes in Daytona, users require an API key to authenticate their requests.; Daytona and Dify both cater to the development of agentic workflow environments, providing infrastructure for executing AI-generated code or coordinating agent operations; Tags unique to daytona: ai-runtime, ai-sandboxes, code-execution, code-interpreter; When your project requires running AI-generated code securely and you need an on-demand scalable environment that adjusts automatically based on demand.
- When should I choose dify over daytona?
- Choose dify over daytona when Daytona and Dify both cater to the development of agentic workflow environments, providing infrastructure for executing AI-generated code or coordinating agent operations; Tags unique to dify: agent, agentic-ai, agentic-framework, ai; 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 avoid daytona?
- Avoid using Daytona if you have strict requirements for the programming languages it supports, since this information is currently unknown. Daytona might not be suitable if your development workflow does not require API access or an online dashboard, as its user interface and API integration are key components.
- 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 daytona or dify more popular on GitHub?
- dify has more GitHub stars (156,243 vs 71,746). Stars measure visibility, not whether either tool fits your constraints.
- Are daytona and dify open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to daytona or dify?
- GraphCanon lists graph-backed alternatives at daytona alternatives and dify alternatives (daytona 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, daytona or dify?
- daytona: Steady. 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 daytona and dify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: daytona trust report; dify trust report.