Comparison
comfyui_LLM_party vs langflow
Verdict
Pick comfyui_LLM_party when license: comfyui_LLM_party is AGPL-3.0, langflow is MIT; pick langflow when license: langflow is MIT, comfyui_LLM_party is AGPL-3.0.
Markdown twin · comfyui_LLM_party alternatives · langflow alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | comfyui_LLM_party | langflow |
|---|---|---|
| Maintenance | Active (26d since push) As of today · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-15 As of today · osv@v1 | No published findings from this source as of 2026-07-11 As of 3d · 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
- comfyui_LLM_party
- LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai / aisuite interfaces,
- langflow
- Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Stars
- comfyui_LLM_party
- 2.3k
- langflow
- 152k
Forks
- comfyui_LLM_party
- 193
- langflow
- 9.7k
Open issues
- comfyui_LLM_party
- 83
- langflow
- 975
Language
- comfyui_LLM_party
- Python
- langflow
- Python
Adopt for
- comfyui_LLM_party
- -
- langflow
- Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach.
Persona
- comfyui_LLM_party
- -
- langflow
- -
Runtime
- comfyui_LLM_party
- -
- langflow
- -
License
- comfyui_LLM_party
- AGPL-3.0
- langflow
- MIT
Last pushed
- comfyui_LLM_party
- Jun 19, 2026
- langflow
- Jul 11, 2026
Categories
- comfyui_LLM_party
- AI Agents, Inference & Serving, LLM Frameworks
- langflow
- AI Agents, Inference & Serving
Trust and health
Maintenance
- comfyui_LLM_party
- Active (82%)
- langflow
- Very active (96%)
Days since push
- comfyui_LLM_party
- 26d
- langflow
- 0d
Open issues (now)
- comfyui_LLM_party
- 83
- langflow
- 975
Owner type
- comfyui_LLM_party
- User
- langflow
- Organization
OSV dependency advisories
- comfyui_LLM_party
- No published findings from this source as of 2026-07-15
- langflow
- No published findings from this source as of 2026-07-11
Full report
- comfyui_LLM_party
- Trust report
- langflow
- Trust report
Shared compatibility
- Python · comfyui_LLM_party: Python runtime · langflow: Python runtime
Choose comfyui_LLM_party if…
- License: comfyui_LLM_party is AGPL-3.0, langflow is MIT.
- Tags unique to comfyui_LLM_party: agent, comfyui, dify, flux.
- Also covers LLM Frameworks.
When NOT to use comfyui_LLM_party
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose langflow if…
- License: langflow is MIT, comfyui_LLM_party is AGPL-3.0.
- Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models.
- - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge.
When NOT to use langflow
- - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow.
- - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (heshengtao/comfyui_LLM_party) · observed Jul 15, 2026
- GitHub forks (heshengtao/comfyui_LLM_party) · observed Jul 15, 2026
- Last push (heshengtao/comfyui_LLM_party) · observed Jun 19, 2026
- License file (AGPL-3.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (langflow-ai/langflow) · observed Jul 11, 2026
- GitHub forks (langflow-ai/langflow) · observed Jul 11, 2026
- Last push (langflow-ai/langflow) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: comfyui_LLM_party 2.3k · langflow 152k (synced Jul 15, 2026).
Common questions
- What is the difference between comfyui_LLM_party and langflow?
- comfyui_LLM_party: LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai / aisuite interfaces,. langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. See the comparison table for live GitHub stats and shared categories.
- When should I choose comfyui_LLM_party over langflow?
- Choose comfyui_LLM_party over langflow when License: comfyui_LLM_party is AGPL-3.0, langflow is MIT; Tags unique to comfyui_LLM_party: agent, comfyui, dify, flux; Also covers LLM Frameworks.
- When should I choose langflow over comfyui_LLM_party?
- Choose langflow over comfyui_LLM_party when License: langflow is MIT, comfyui_LLM_party is AGPL-3.0; Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models; - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge.
- When should I avoid comfyui_LLM_party?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid langflow?
- - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot
- Is comfyui_LLM_party or langflow more popular on GitHub?
- langflow has more GitHub stars (151,697 vs 2,304). Stars measure visibility, not whether either tool fits your constraints.
- Are comfyui_LLM_party and langflow open source?
- Yes - both are open-source projects on GitHub (comfyui_LLM_party: AGPL-3.0, langflow: MIT).
- Where can I find alternatives to comfyui_LLM_party or langflow?
- GraphCanon lists graph-backed alternatives at comfyui_LLM_party alternatives and langflow alternatives (comfyui_LLM_party markdown twin, langflow 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, comfyui_LLM_party or langflow?
- comfyui_LLM_party: Active. langflow: 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 comfyui_LLM_party and langflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: comfyui_LLM_party trust report; langflow trust report.