Comparison
langflow vs LLMStack
Verdict
Pick langflow if langflow is a Python-based tool for building and deploying AI-powered agents and workflows, supporting multiagent systems and integration with large language models; pick LLMStack if lLMStack is a no-code framework designed for building LLM Agents and complex workflows with data integration, suitable for teams that want to leverage AI without deep coding expertise.
Markdown twin · langflow alternatives · LLMStack alternatives
GraphCanon updated Sep 20, 2026
16views this month
vs
Trust & integrity
| Signal | langflow | LLMStack |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (612d since push) As of Aug 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 16, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- langflow
- A tool for building and deploying AI-powered agents and workflows
- LLMStack
- No-code multi-agent framework to build LLM Agents, workflows and applications with your data
Stars
- langflow
- 155k
- LLMStack
- 2.3k
Forks
- langflow
- 10k
- LLMStack
- 347
Open issues
- langflow
- 1.1k
- LLMStack
- 23
Language
- langflow
- Python
- LLMStack
- Python
Adopt for
- langflow
- Langflow is a Python-based tool for building and deploying AI-powered agents and workflows, supporting multiagent systems and integration with large language models.
- LLMStack
- LLMStack is a no-code framework designed for building LLM Agents and complex workflows with data integration, suitable for teams that want to leverage AI without deep coding expertise.
Persona
- langflow
- -
- LLMStack
- -
Runtime
- langflow
- -
- LLMStack
- -
License
- langflow
- MIT
- LLMStack
- Other
Last pushed
- langflow
- Sep 18, 2026
- LLMStack
- Dec 11, 2024
Categories
- langflow
- AI Agents, Developer Tools
- LLMStack
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- langflow
- Very active (96%)
- LLMStack
- Dormant (18%)
Days since push
- langflow
- 0d
- LLMStack
- 612d
Open issues (now)
- langflow
- 1.1k
- LLMStack
- 23
Stars delta
- langflow
- +2.2k (30d)
- LLMStack
- +2 (30d)
Open issues delta
- langflow
- +114 (30d)
- LLMStack
- -1 (30d)
OSV dependency advisories
- langflow
- No published findings from this source as of 2026-09-18
- LLMStack
- No lockfile (source not queried)
Full report
- langflow
- Trust report
- LLMStack
- Trust report
Typed relationship
langflow alternative LLMStackLLMStack and LangFlow are both platforms designed to facilitate the creation of AI agents, workflows, and applications but do so in different ways. LLMStack focuses on a no-code approach for generative AI, while LangFlow offers more flexible tools for building and deploying AI-powered agents.
Shared compatibility
- Python · langflow: Python runtime · LLMStack: Python runtime
Choose langflow if…
- License: langflow is MIT, LLMStack is Other.
- LLMStack and LangFlow are both platforms designed to facilitate the creation of AI agents, workflows, and applications but do so in different ways. LLMStack focuses on a no-code approach for generative AI, while LangFlow offers more flexible tools for building and deploying AI-powered agents.
- Tags unique to langflow: chatgpt, large-language-models, multiagent, react-flow.
- Also covers Developer Tools.
- When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.
When NOT to use langflow
- If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas.
- When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range.
- If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.
Choose LLMStack if…
- License: LLMStack is Other, langflow is MIT.
- LLMStack and LangFlow are both platforms designed to facilitate the creation of AI agents, workflows, and applications but do so in different ways. LLMStack focuses on a no-code approach for generative AI, while LangFlow offers more flexible tools for building and deploying AI-powered agents.
- Tags unique to LLMStack: ai-agents-framework, llm-agents, llm-chain, no-code-ai.
- Also covers LLM Frameworks.
- Use LLMStack when you need a no-code solution to develop multi-agent systems based on large language models.
When NOT to use LLMStack
- Avoid using LLMStack if your project necessitates heavy customization or fine-tuning at the coding level, as it may limit flexibility compared to code-based alternatives.
- Not recommended for teams with robust software engineering capabilities and a need for detailed control over underlying AI model architectures.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langflow-ai/langflow) · observed Sep 20, 2026
- GitHub forks (langflow-ai/langflow) · observed Sep 20, 2026
- Last push (langflow-ai/langflow) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (trypromptly/LLMStack) · observed Sep 20, 2026
- GitHub forks (trypromptly/LLMStack) · observed Sep 20, 2026
- Last push (trypromptly/LLMStack) · observed Dec 11, 2024
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langflow 155k · LLMStack 2.3k (synced Sep 20, 2026).
Common questions
- What is the difference between langflow and LLMStack?
- langflow: A tool for building and deploying AI-powered agents and workflows. LLMStack: No-code multi-agent framework to build LLM Agents, workflows and applications with your data. See the comparison table for live GitHub stats and shared categories.
- When should I choose langflow over LLMStack?
- Choose langflow over LLMStack when License: langflow is MIT, LLMStack is Other; LLMStack and LangFlow are both platforms designed to facilitate the creation of AI agents, workflows, and applications but do so in different ways. LLMStack focuses on a no-code approach for generative AI, while LangFlow offers more flexible tools for building and deploying AI-powered agents; Tags unique to langflow: chatgpt, large-language-models, multiagent, react-flow; Also covers Developer Tools; When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.
- When should I choose LLMStack over langflow?
- Choose LLMStack over langflow when License: LLMStack is Other, langflow is MIT; LLMStack and LangFlow are both platforms designed to facilitate the creation of AI agents, workflows, and applications but do so in different ways. LLMStack focuses on a no-code approach for generative AI, while LangFlow offers more flexible tools for building and deploying AI-powered agents; Tags unique to LLMStack: ai-agents-framework, llm-agents, llm-chain, no-code-ai; Also covers LLM Frameworks; Use LLMStack when you need a no-code solution to develop multi-agent systems based on large language models.
- When should I avoid langflow?
- If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas. When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range. If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.
- When should I avoid LLMStack?
- Avoid using LLMStack if your project necessitates heavy customization or fine-tuning at the coding level, as it may limit flexibility compared to code-based alternatives. Not recommended for teams with robust software engineering capabilities and a need for detailed control over underlying AI model architectures.
- Is langflow or LLMStack more popular on GitHub?
- langflow has more GitHub stars (154,963 vs 2,309). Stars measure visibility, not whether either tool fits your constraints.
- Are langflow and LLMStack open source?
- Yes - both are open-source projects on GitHub (langflow: MIT, LLMStack: Other).
- Where can I find alternatives to langflow or LLMStack?
- GraphCanon lists graph-backed alternatives at langflow alternatives and LLMStack alternatives (langflow markdown twin, LLMStack 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 LLMStack?
- langflow: Very active. LLMStack: 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 langflow and LLMStack?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; LLMStack trust report.