Comparison
dify vs go-streams
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 go-streams if go-streams is a lightweight stream processing library for Go that simplifies constructing and executing data pipelines and streaming applications.
Markdown twin · dify alternatives · go-streams alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | dify | go-streams |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (245d since push) As of Sep 17, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 17, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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.
- go-streams
- lightweight stream processing library for Go
Stars
- dify
- 156k
- go-streams
- 2.2k
Forks
- dify
- 25k
- go-streams
- 174
Open issues
- dify
- 1.1k
- go-streams
- 12
Language
- dify
- TypeScript
- go-streams
- Go
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.
- go-streams
- go-streams is a lightweight stream processing library for Go that simplifies constructing and executing data pipelines and streaming applications.
Persona
- dify
- -
- go-streams
- -
Runtime
- dify
- -
- go-streams
- -
License
- dify
- Other
- go-streams
- MIT
Last pushed
- dify
- Sep 18, 2026
- go-streams
- Jan 14, 2026
Categories
- dify
- AI Agents, Data & Retrieval, Developer Tools
- go-streams
- Data & Retrieval, Developer Tools
Trust and health
Maintenance
- dify
- Very active (96%)
- go-streams
- Slowing (36%)
Days since push
- dify
- 0d
- go-streams
- 245d
Open issues (now)
- dify
- 1.1k
- go-streams
- 12
Stars delta
- dify
- +4.5k (30d)
- go-streams
- 0 (30d)
Open issues delta
- dify
- +172 (30d)
- go-streams
- +1 (30d)
Owner type
- dify
- Organization
- go-streams
- User
Full report
- dify
- Trust report
- go-streams
- Trust report
Choose dify if…
- dify is primarily TypeScript; go-streams is Go.
- License: dify is Other, go-streams is MIT.
- Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow.
- Also covers AI Agents.
- 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 go-streams if…
- go-streams is primarily Go; dify is TypeScript.
- License: go-streams is MIT, dify is Other.
- Tags unique to go-streams: aerospike, data-pipeline, kafka, low-code.
- When you need a lightweight solution for handling streams in Go projects.
When NOT to use go-streams
- In scenarios where a more robust framework with extended features beyond lightweight streams is required.
- For projects preferring languages other than Go, as go-streams is exclusively for Go applications and does not offer similar functionality out-of-the-box compared to language-agnostic tools.
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 Sep 18, 2026
- GitHub stars (reugn/go-streams) · observed Sep 20, 2026
- GitHub forks (reugn/go-streams) · observed Sep 20, 2026
- Last push (reugn/go-streams) · observed Jan 14, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: dify 156k · go-streams 2.2k (synced Sep 20, 2026).
Common questions
- What is the difference between dify and go-streams?
- dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. go-streams: lightweight stream processing library for Go. See the comparison table for live GitHub stats and shared categories.
- When should I choose dify over go-streams?
- Choose dify over go-streams when dify is primarily TypeScript; go-streams is Go; License: dify is Other, go-streams is MIT; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers AI Agents; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
- When should I choose go-streams over dify?
- Choose go-streams over dify when go-streams is primarily Go; dify is TypeScript; License: go-streams is MIT, dify is Other; Tags unique to go-streams: aerospike, data-pipeline, kafka, low-code; When you need a lightweight solution for handling streams in Go projects.
- 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 go-streams?
- In scenarios where a more robust framework with extended features beyond lightweight streams is required. For projects preferring languages other than Go, as go-streams is exclusively for Go applications and does not offer similar functionality out-of-the-box compared to language-agnostic tools.
- Is dify or go-streams more popular on GitHub?
- dify has more GitHub stars (156,243 vs 2,172). Stars measure visibility, not whether either tool fits your constraints.
- Are dify and go-streams open source?
- Yes - both are open-source projects on GitHub (dify: Other, go-streams: MIT).
- Where can I find alternatives to dify or go-streams?
- GraphCanon lists graph-backed alternatives at dify alternatives and go-streams alternatives (dify markdown twin, go-streams 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 go-streams?
- dify: Very active. go-streams: 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 go-streams?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dify trust report; go-streams trust report.