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Home/Compare/Kiln vs langflow

Comparison

Kiln vs langflow

Verdict

Pick Kiln when license: Kiln is Other, langflow is MIT; pick langflow when license: langflow is MIT, Kiln is Other.

Markdown twin · Kiln alternatives · langflow alternatives

GraphCanon updated today

Kiln logo

Kiln

Kiln-AI/Kiln

★ 5.0kpushed Jul 11, 2026
vs
langflow logo

langflow

langflow-ai/langflow

★ 152kpushed Jul 11, 2026

Trust & integrity

SignalKilnlangflow
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 · Organization account
As of today · github_public_v1
Security (OSV)
No MCP manifest
As of today · mcp_manifest
No criticals
As of today · osv@v1
Kiln trust reportlangflow trust reportTrust methodology

Tagline

Kiln
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Stars

Kiln
5.0k
langflow
152k

Forks

Kiln
375
langflow
9.7k

Open issues

Kiln
63
langflow
975

Language

Kiln
Python
langflow
Python

Adopt for

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

Persona

Kiln
-
langflow
-

Runtime

Kiln
-
langflow
-

License

Kiln
Other
langflow
MIT

Last pushed

Kiln
Jul 11, 2026
langflow
Jul 11, 2026

Categories

Kiln
AI Agents, Inference & Serving, LLM Frameworks
langflow
AI Agents, Inference & Serving

Trust and health

Open issues (now)

Kiln
63
langflow
975

Security scan

Kiln
No MCP manifest
langflow
No criticals

Full report

Kiln
Trust report
langflow
Trust report

Choose Kiln if…

  • License: Kiln is Other, langflow is MIT.
  • Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation.
  • Also covers LLM Frameworks.

When NOT to use Kiln

  • 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.
GitHubDetails

Choose langflow if…

  • License: langflow is MIT, Kiln 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
GitHubDetails

Explore

Kiln trust report →langflow trust report →AI Agents 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: Kiln 5.0k · langflow 152k (synced Jul 11, 2026).

Common questions

What is the difference between Kiln and langflow?
Kiln: Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.. 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 Kiln over langflow?
Choose Kiln over langflow when License: Kiln is Other, langflow is MIT; Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation; Also covers LLM Frameworks.
When should I choose langflow over Kiln?
Choose langflow over Kiln when License: langflow is MIT, Kiln 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 avoid Kiln?
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旖
Is Kiln or langflow more popular on GitHub?
langflow has more GitHub stars (151,697 vs 4,960). Stars measure visibility, not whether either tool fits your constraints.
Are Kiln and langflow open source?
Yes - both are open-source projects on GitHub (Kiln: Other, langflow: MIT).
Where can I find alternatives to Kiln or langflow?
GraphCanon lists graph-backed alternatives at Kiln alternatives and langflow alternatives (Kiln 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, Kiln or langflow?
Kiln: Very 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 Kiln and langflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Kiln trust report; langflow trust report.