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 comprehensive low-code/no-code AI agentic framework designed for workflow and process automation, offering deployment via Docker Compose and multiple cloud platforms.
Markdown twin · daytona alternatives · dify alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | daytona | dify |
|---|---|---|
| Maintenance | Active (10d since push) As of 4w · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Production-ready platform for agentic workflow development
Stars
- daytona
- 72k
- dify
- 152k
Forks
- daytona
- 5.7k
- dify
- 24k
Open issues
- daytona
- 444
- dify
- 931
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 comprehensive low-code/no-code AI agentic framework designed for workflow and process automation, offering deployment via Docker Compose and multiple cloud platforms.
Persona
- daytona
- -
- dify
- -
Runtime
- daytona
- -
- dify
- -
License
- daytona
- The license details for Daytona are unknown at present.
- dify
- Other
Last pushed
- daytona
- Jul 9, 2026
- dify
- Aug 7, 2026
Categories
- daytona
- AI Agents, Developer Tools
- dify
- AI Agents
Trust and health
Maintenance
- daytona
- Active (82%)
- dify
- Very active (96%)
Days since push
- daytona
- 10d
- dify
- 0d
Open issues (now)
- daytona
- 444
- dify
- 931
Stars delta
- daytona
- Unknown
- dify
- +3.6k (30d)
Open issues delta
- daytona
- Unknown
- dify
- +118 (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: agentic-workflow, ai-runtime, ai-sandboxes, code-execution.
- Also covers Developer Tools.
- 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…
- Requirements: Min 4 GB RAM; Requires Docker.
- 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, automation.
- When you need a production-grade platform with support for various deployment methods such as Docker Compose, Kubernetes Helm Charts, Terraform, AWS CDK, and Alibaba Cloud services.
When NOT to use dify
- If your project strictly requires a specific proprietary licensing scheme not aligned with Dify’s customized open-source license that is based on Apache 2.0.
- In cases where the desired workflow development tool should be written in a language other than TypeScript or Python, as Dify centers primarily around these languages.
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 Jul 20, 2026
- GitHub forks (daytonaio/daytona) · observed Jul 20, 2026
- Last push (daytonaio/daytona) · observed Jul 9, 2026
- License file (unknown) · observed Jul 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langgenius/dify) · observed Aug 8, 2026
- GitHub forks (langgenius/dify) · observed Aug 8, 2026
- Last push (langgenius/dify) · observed Aug 7, 2026
- License file (Other) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: daytona 72k · dify 152k (synced Jul 20, 2026).
Common questions
- What is the difference between daytona and dify?
- daytona: Secure and Elastic Infrastructure for Running AI-Generated Code. dify: Production-ready platform for agentic workflow development. 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: agentic-workflow, ai-runtime, ai-sandboxes, code-execution; Also covers Developer Tools; 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 Requirements: Min 4 GB RAM; Requires Docker; 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, automation; When you need a production-grade platform with support for various deployment methods such as Docker Compose, Kubernetes Helm Charts, Terraform, AWS CDK, and Alibaba Cloud services.
- 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 strictly requires a specific proprietary licensing scheme not aligned with Dify’s customized open-source license that is based on Apache 2.0. In cases where the desired workflow development tool should be written in a language other than TypeScript or Python, as Dify centers primarily around these languages.
- Is daytona or dify more popular on GitHub?
- dify has more GitHub stars (151,725 vs 72,244). 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: 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 daytona and dify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: daytona trust report; dify trust report.