Comparison
dify vs sre
Verdict
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; pick sre if smythOS Runtime Environment (SRE) is a TypeScript-based open-source runtime framework designed for developing, managing and running intelligent agents in various environments.
Markdown twin · dify alternatives · sre alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | dify | sre |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Slowing (109d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 4w · 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
- dify
- Production-ready platform for agentic workflow development
- sre
- Cloud-native runtime for building, running, and managing intelligent agents
Stars
- dify
- 152k
- sre
- 1.3k
Forks
- dify
- 24k
- sre
- 197
Open issues
- dify
- 931
- sre
- 33
Language
- dify
- TypeScript
- sre
- TypeScript
Adopt for
- 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.
- sre
- SmythOS Runtime Environment (SRE) is a TypeScript-based open-source runtime framework designed for developing, managing and running intelligent agents in various environments.
Persona
- dify
- -
- sre
- -
Runtime
- dify
- -
- sre
- -
License
- dify
- Other
- sre
- MIT
Last pushed
- dify
- Aug 7, 2026
- sre
- Apr 3, 2026
Categories
- dify
- AI Agents
- sre
- AI Agents
Trust and health
Maintenance
- dify
- Very active (96%)
- sre
- Slowing (36%)
Days since push
- dify
- 0d
- sre
- 109d
Open issues (now)
- dify
- 931
- sre
- 33
Stars delta
- dify
- +3.6k (30d)
- sre
- Unknown
Open issues delta
- dify
- +118 (30d)
- sre
- Unknown
Full report
- dify
- Trust report
- sre
- Trust report
Typed relationship
Choose dify if…
- License: dify is Other, sre is MIT.
- Requirements: Min 4 GB RAM; Requires Docker.
- Both SRE and Dify aim at providing platforms for agentic workflows, but they cater to slightly different aspects with Dify focusing more on production-ready setups compared to the infrastructure provided by SRE.
- 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.
Choose sre if…
- License: sre is MIT, dify is Other.
- Both SRE and Dify aim at providing platforms for agentic workflows, but they cater to slightly different aspects with Dify focusing more on production-ready setups compared to the infrastructure provided by SRE.
- Tags unique to sre: agent-framework, agi, autonomous-agents, multi-agent-systems.
- Use SRE if you are working with agentic AI projects that need to be deployed across multiple environments such as local, cloud, or edge locations.
When NOT to use sre
- Avoid SRE if the project requirements are focused on languages other than TypeScript as it is specifically built with TypeScript in mind.
- If your use case prioritizes immediate access to a mature and widely supported SDK over an open-source framework, another tool might offer more comprehensive support out of the box.
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 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 (SmythOS/sre) · observed Jul 21, 2026
- GitHub forks (SmythOS/sre) · observed Jul 21, 2026
- Last push (SmythOS/sre) · observed Apr 3, 2026
- License file (MIT) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dify 152k · sre 1.3k (synced Aug 8, 2026).
Common questions
- What is the difference between dify and sre?
- dify: Production-ready platform for agentic workflow development. sre: Cloud-native runtime for building, running, and managing intelligent agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose dify over sre?
- Choose dify over sre when License: dify is Other, sre is MIT; Requirements: Min 4 GB RAM; Requires Docker; Both SRE and Dify aim at providing platforms for agentic workflows, but they cater to slightly different aspects with Dify focusing more on production-ready setups compared to the infrastructure provided by SRE; 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 choose sre over dify?
- Choose sre over dify when License: sre is MIT, dify is Other; Both SRE and Dify aim at providing platforms for agentic workflows, but they cater to slightly different aspects with Dify focusing more on production-ready setups compared to the infrastructure provided by SRE; Tags unique to sre: agent-framework, agi, autonomous-agents, multi-agent-systems; Use SRE if you are working with agentic AI projects that need to be deployed across multiple environments such as local, cloud, or edge locations.
- 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.
- When should I avoid sre?
- Avoid SRE if the project requirements are focused on languages other than TypeScript as it is specifically built with TypeScript in mind. If your use case prioritizes immediate access to a mature and widely supported SDK over an open-source framework, another tool might offer more comprehensive support out of the box.
- Is dify or sre more popular on GitHub?
- dify has more GitHub stars (151,725 vs 1,285). Stars measure visibility, not whether either tool fits your constraints.
- Are dify and sre open source?
- Yes - both are open-source projects on GitHub (dify: Other, sre: MIT).
- Where can I find alternatives to dify or sre?
- GraphCanon lists graph-backed alternatives at dify alternatives and sre alternatives (dify markdown twin, sre 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 sre?
- dify: Very active. sre: Slowing. 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 sre?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dify trust report; sre trust report.