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Comparison

Flowise vs llmflows

Verdict

Pick Flowise if flowise is a visual tool for building AI agents, supporting low-code and no-code development. It enables users to create complex workflows and multi-agent systems through a user-friendly interface; pick llmflows if lLMFlows is a Python library designed for creating and managing LLM applications with a focus on simplicity and transparency.

Markdown twin · Flowise alternatives · llmflows alternatives

GraphCanon updated Sep 20, 2026

15views this month

Flowise logo

Flowise

FlowiseAI/Flowise

★ 55kpushed Aug 13, 2026
vs
llmflows logo

llmflows

stoyan-stoyanov/llmflows

★ 708pushed Feb 20, 2025

Trust & integrity

SignalFlowisellmflows
Maintenance
Archived (35d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (574d since push)
As of Sep 18, 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 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
Published findings
As of Sep 18, 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
Flowise trust reportllmflows trust reportTrust methodology

Tagline

Flowise
Build AI Agents, Visually
llmflows
Simple, Explicit and Transparent LLM Apps

Stars

Flowise
55k
llmflows
708

Forks

Flowise
25k
llmflows
35

Open issues

Flowise
1.0k
llmflows
19

Language

Flowise
TypeScript
llmflows
Python

Adopt for

Flowise
Flowise is a visual tool for building AI agents, supporting low-code and no-code development. It enables users to create complex workflows and multi-agent systems through a user-friendly interface.
llmflows
LLMFlows is a Python library designed for creating and managing LLM applications with a focus on simplicity and transparency.

Persona

Flowise
-
llmflows
-

Runtime

Flowise
-
llmflows
-

License

Flowise
Other
llmflows
LLMFlows is distributed under the MIT license, allowing for free use, modification, and distribution.

Last pushed

Flowise
Aug 13, 2026
llmflows
Feb 20, 2025

Categories

Flowise
AI Agents, Developer Tools
llmflows
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

Flowise
Archived (8%)
llmflows
Dormant (18%)

Days since push

Flowise
35d
llmflows
574d

Archived on GitHub

Flowise
Yes
llmflows
No

Open issues (now)

Flowise
1.0k
llmflows
19

Stars delta

Flowise
+219 (30d)
llmflows
+1 (30d)

Open issues delta

Flowise
-5 (30d)
llmflows
0 (30d)

Owner type

Flowise
Organization
llmflows
User

OSV dependency advisories

Flowise
No lockfile (source not queried)
llmflows
Published findings

Full report

Flowise
Trust report
llmflows
Trust report

Typed relationship

Flowise alternative llmflowsBoth Flowise and LLMFlows aim to simplify development of AI agents, possibly serving similar use cases but through different methodologies.

Choose Flowise if…

  • Flowise is primarily TypeScript; llmflows is Python.
  • License: Flowise is Other, llmflows is MIT.
  • Both Flowise and LLMFlows aim to simplify development of AI agents, possibly serving similar use cases but through different methodologies.
  • Tags unique to Flowise: agentic-ai, agentic-workflow, agents, artificial-intelligence.
  • Also covers AI Agents, Developer Tools.
  • Flowise ships Docker support for self-hosted deployment.
  • When you need a tool that supports both low-code and no-code development for AI agents.

When NOT to use Flowise

  • If you prefer a tool that does not require NodeJS >= 20.0.0 for installation and operation.
  • When you need a solution that does not rely on Docker for deployment, as Flowise requires Docker for certain deployment methods.
  • If you are working in an environment where the Apache License Version 2.0 is not compatible with your project's licensing requirements.
GitHubDetails

Choose llmflows if…

  • llmflows is primarily Python; Flowise is TypeScript.
  • License: llmflows is MIT, Flowise is Other.
  • Pricing: The library is free to use, but additional services or support might incur costs..
  • Requirements: Min 2 GB RAM; Python environment is required..
  • Both Flowise and LLMFlows aim to simplify development of AI agents, possibly serving similar use cases but through different methodologies.
  • Tags unique to llmflows: ai, gpt-4, llm, llm-inference.
  • Also covers Inference & Serving, LLM Frameworks.
  • When you need a straightforward and transparent approach to building LLM applications, LLMFlows offers a simple framework that prioritizes clarity in the development process.

When NOT to use llmflows

  • Avoid LLMFlows if you require advanced customization options that go beyond its simple and explicit design philosophy.
  • Do not use LLMFlows if your project demands a more complex framework that integrates a wide range of third-party services, as LLMFlows focuses on simplicity and may lack extensive integration features
GitHubDetails

Explore

Flowise trust report →llmflows trust report →AI Agents category →Developer Tools category →Inference & Serving category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: Flowise 55k · llmflows 708 (synced Sep 20, 2026).

Common questions

What is the difference between Flowise and llmflows?
Flowise: Build AI Agents, Visually. llmflows: Simple, Explicit and Transparent LLM Apps. See the comparison table for live GitHub stats and shared categories.
When should I choose Flowise over llmflows?
Choose Flowise over llmflows when Flowise is primarily TypeScript; llmflows is Python; License: Flowise is Other, llmflows is MIT; Both Flowise and LLMFlows aim to simplify development of AI agents, possibly serving similar use cases but through different methodologies; Tags unique to Flowise: agentic-ai, agentic-workflow, agents, artificial-intelligence; Also covers AI Agents, Developer Tools; Flowise ships Docker support for self-hosted deployment; When you need a tool that supports both low-code and no-code development for AI agents.
When should I choose llmflows over Flowise?
Choose llmflows over Flowise when llmflows is primarily Python; Flowise is TypeScript; License: llmflows is MIT, Flowise is Other; Pricing: The library is free to use, but additional services or support might incur costs.; Requirements: Min 2 GB RAM; Python environment is required.; Both Flowise and LLMFlows aim to simplify development of AI agents, possibly serving similar use cases but through different methodologies; Tags unique to llmflows: ai, gpt-4, llm, llm-inference; Also covers Inference & Serving, LLM Frameworks; When you need a straightforward and transparent approach to building LLM applications, LLMFlows offers a simple framework that prioritizes clarity in the development process.
When should I avoid Flowise?
If you prefer a tool that does not require NodeJS >= 20.0.0 for installation and operation. When you need a solution that does not rely on Docker for deployment, as Flowise requires Docker for certain deployment methods. If you are working in an environment where the Apache License Version 2.0 is not compatible with your project's licensing requirements.
When should I avoid llmflows?
Avoid LLMFlows if you require advanced customization options that go beyond its simple and explicit design philosophy. Do not use LLMFlows if your project demands a more complex framework that integrates a wide range of third-party services, as LLMFlows focuses on simplicity and may lack extensive integration features
Is Flowise or llmflows more popular on GitHub?
Flowise has more GitHub stars (55,465 vs 708). Stars measure visibility, not whether either tool fits your constraints.
Are Flowise and llmflows open source?
Yes - both are open-source projects on GitHub (Flowise: Other, llmflows: MIT).
Where can I find alternatives to Flowise or llmflows?
GraphCanon lists graph-backed alternatives at Flowise alternatives and llmflows alternatives (Flowise markdown twin, llmflows 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, Flowise or llmflows?
Flowise: Archived. llmflows: Dormant. 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 Flowise and llmflows?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Flowise trust report; llmflows trust report.

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