Comparison
Flowise vs llmflows
Verdict
Pick Flowise if flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models; pick llmflows if lLMFlows is designed for developers seeking a streamlined way to build and deploy language model applications with an emphasis on transparency and simplicity.
Markdown twin · Flowise alternatives · llmflows alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | Flowise | llmflows |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1w · github_public_v1 | Dormant (541d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 3d · 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
- Flowise
- Build AI Agents, Visually
- llmflows
- Simple Explicit Transparent LLM Apps
Stars
- Flowise
- 55k
- llmflows
- 707
Forks
- Flowise
- 25k
- llmflows
- 35
Open issues
- Flowise
- 1.0k
- llmflows
- 19
Language
- Flowise
- TypeScript
- llmflows
- Python
Adopt for
- Flowise
- Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models.
- llmflows
- LLMFlows is designed for developers seeking a streamlined way to build and deploy language model applications with an emphasis on transparency and simplicity.
Persona
- Flowise
- -
- llmflows
- -
Runtime
- Flowise
- -
- llmflows
- -
License
- Flowise
- Other
- llmflows
- MIT
Last pushed
- Flowise
- Aug 7, 2026
- llmflows
- Feb 20, 2025
Categories
- Flowise
- AI Agents, Developer Tools
- llmflows
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- Flowise
- Very active (96%)
- llmflows
- Dormant (18%)
Days since push
- Flowise
- 1d
- llmflows
- 541d
Open issues (now)
- Flowise
- 1.0k
- llmflows
- 19
Stars delta
- Flowise
- +816 (30d)
- llmflows
- +2 (30d)
Open issues delta
- Flowise
- +64 (30d)
- llmflows
- 0 (30d)
Owner type
- Flowise
- Organization
- llmflows
- User
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.
- Requirements: Requires Docker; Can be installed locally using NodeJS or Docker Compose. Supports various hosting options including cloud platforms and personal servers..
- 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, large language models, low-code, multiagent-systems.
- Also covers AI Agents, Developer Tools.
- Flowise ships Docker support for self-hosted deployment.
- Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models.
When NOT to use Flowise
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Choose llmflows if…
- llmflows is primarily Python; Flowise is TypeScript.
- License: llmflows is MIT, Flowise is Other.
- 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, chatgpt, gpt-4, llm.
- Also covers Inference & Serving, LLM Frameworks.
- If you need a Python framework that prioritizes the clarity and ease of use in developing language model apps.
When NOT to use llmflows
- Do not choose LLMFlows if advanced customization or integration with more complex frameworks is required for your project.
- Avoid using this tool in scenarios where you need real-time adaptive features that are highly dynamic, as LLMFlows emphasizes explicitness which can limit flexibility.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FlowiseAI/Flowise) · observed Aug 8, 2026
- GitHub forks (FlowiseAI/Flowise) · observed Aug 8, 2026
- Last push (FlowiseAI/Flowise) · 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 (stoyan-stoyanov/llmflows) · observed Aug 16, 2026
- GitHub forks (stoyan-stoyanov/llmflows) · observed Aug 16, 2026
- Last push (stoyan-stoyanov/llmflows) · observed Feb 20, 2025
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Flowise 55k · llmflows 707 (synced Aug 8, 2026).
Common questions
- What is the difference between Flowise and llmflows?
- Flowise: Build AI Agents, Visually. llmflows: Simple Explicit 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; Requirements: Requires Docker; Can be installed locally using NodeJS or Docker Compose. Supports various hosting options including cloud platforms and personal servers.; 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, large language models, low-code, multiagent-systems; Also covers AI Agents, Developer Tools; Flowise ships Docker support for self-hosted deployment; Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models.
- 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; 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, chatgpt, gpt-4, llm; Also covers Inference & Serving, LLM Frameworks; If you need a Python framework that prioritizes the clarity and ease of use in developing language model apps.
- When should I avoid Flowise?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- When should I avoid llmflows?
- Do not choose LLMFlows if advanced customization or integration with more complex frameworks is required for your project. Avoid using this tool in scenarios where you need real-time adaptive features that are highly dynamic, as LLMFlows emphasizes explicitness which can limit flexibility.
- Is Flowise or llmflows more popular on GitHub?
- Flowise has more GitHub stars (55,246 vs 707). 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: Very active. 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.