Home/Compare/langflow vs LLM-Hub

Comparison

langflow vs LLM-Hub

Verdict

Pick langflow when langflow is primarily Python; LLM-Hub is C++; pick LLM-Hub when lLM-Hub is primarily C++; langflow is Python.

Markdown twin · langflow alternatives · LLM-Hub alternatives

GraphCanon updated today

langflow logo

langflow

langflow-ai/langflow

152kpushed Jul 11, 2026
vs
LLM-Hub logo

LLM-Hub

timmyy123/LLM-Hub

491pushed Jul 11, 2026

Trust & integrity

SignallangflowLLM-Hub
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No criticals
As of today · osv@v1
No lockfile
As of today · none

Tagline

langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
LLM-Hub
Local AI Assistant on your phone

Stars

langflow
152k
LLM-Hub
491

Forks

langflow
9.7k
LLM-Hub
103

Open issues

langflow
975
LLM-Hub
31

Language

langflow
Python
LLM-Hub
C++

Adopt for

langflow
Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach.
LLM-Hub
-

Persona

langflow
-
LLM-Hub
-

Runtime

langflow
-
LLM-Hub
-

License

langflow
MIT
LLM-Hub
Other

Last pushed

langflow
Jul 11, 2026
LLM-Hub
Jul 11, 2026

Categories

langflow
AI Agents, Inference & Serving
LLM-Hub
AI Agents, Inference & Serving, LLM Frameworks

Trust and health

Open issues (now)

langflow
975
LLM-Hub
31

Owner type

langflow
Organization
LLM-Hub
User

Security scan

langflow
No criticals
LLM-Hub
No lockfile

Full report

langflow
Trust report

Choose langflow if…

  • langflow is primarily Python; LLM-Hub is C++.
  • License: langflow is MIT, LLM-Hub is Other.
  • 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旖

Choose LLM-Hub if…

  • LLM-Hub is primarily C++; langflow is Python.
  • License: LLM-Hub is Other, langflow is MIT.
  • Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4.
  • Also covers LLM Frameworks.

When NOT to use LLM-Hub

  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: langflow 152k · LLM-Hub 491 (synced Jul 11, 2026).

Common questions

What is the difference between langflow and LLM-Hub?
langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. LLM-Hub: Local AI Assistant on your phone. See the comparison table for live GitHub stats and shared categories.
When should I choose langflow over LLM-Hub?
Choose langflow over LLM-Hub when langflow is primarily Python; LLM-Hub is C++; License: langflow is MIT, LLM-Hub is Other; 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 choose LLM-Hub over langflow?
Choose LLM-Hub over langflow when LLM-Hub is primarily C++; langflow is Python; License: LLM-Hub is Other, langflow is MIT; Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4; Also covers LLM Frameworks.
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旖
When should I avoid LLM-Hub?
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.
Is langflow or LLM-Hub more popular on GitHub?
langflow has more GitHub stars (151,697 vs 491). Stars measure visibility, not whether either tool fits your constraints.
Are langflow and LLM-Hub open source?
Yes - both are open-source projects on GitHub (langflow: MIT, LLM-Hub: Other).
Where can I find alternatives to langflow or LLM-Hub?
GraphCanon lists graph-backed alternatives at langflow alternatives and LLM-Hub alternatives (langflow markdown twin, LLM-Hub 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, langflow or LLM-Hub?
langflow: Very active. LLM-Hub: 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 langflow and LLM-Hub?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; LLM-Hub trust report.