GraphCanon
Home/Compare/Kiln vs llm-app

Comparison

Kiln vs llm-app

Verdict

Pick Kiln if kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes; pick llm-app if llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.

Markdown twin · Kiln alternatives · llm-app alternatives

GraphCanon updated Sep 20, 2026

7views this month

Kiln logo

Kiln

Kiln-AI/Kiln

★ 5.1kpushed Sep 19, 2026
vs
llm-app logo

llm-app

pathwaycom/llm-app

★ 59kpushed Jul 5, 2026

Trust & integrity

SignalKilnllm-app
Maintenance
Very active (0d since push)
As of Sep 19, 2026 · github_public_v1
Steady (74d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 19, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
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
Kiln trust reportllm-app trust reportTrust methodology

Tagline

Kiln
Build, Evaluate, and Optimize AI Systems
llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data

Stars

Kiln
5.1k
llm-app
59k

Forks

Kiln
380
llm-app
1.5k

Open issues

Kiln
72
llm-app
8

Language

Kiln
Python
llm-app
Jupyter Notebook

Adopt for

Kiln
Kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes.
llm-app
llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.

Persona

Kiln
-
llm-app
-

Runtime

Kiln
-
llm-app
-

License

Kiln
Other
llm-app
MIT License

Last pushed

Kiln
Sep 19, 2026
llm-app
Jul 5, 2026

Categories

Kiln
AI Agents, Data & Retrieval, Evaluation & Observability, Model Training
llm-app
Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training

Trust and health

Maintenance

Kiln
Very active (96%)
llm-app
Steady (60%)

Days since push

Kiln
0d
llm-app
74d

Open issues (now)

Kiln
72
llm-app
8

Stars delta

Kiln
+105 (30d)
llm-app
-117 (30d)

Open issues delta

Kiln
+6 (30d)
llm-app
0 (30d)

Full report

Kiln
Trust report
llm-app
Trust report

Choose Kiln if…

  • Kiln is primarily Python; llm-app is Jupyter Notebook.
  • License: Kiln is Other, llm-app is MIT.
  • Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation.
  • Also covers AI Agents.
  • When you need extensive tools for evaluating custom AI agents

When NOT to use Kiln

  • If your project strictly requires a lightweight tool without comprehensive dataset management options
  • Avoid if you do not require advanced synthetic data generation capabilities
GitHubDetails

Choose llm-app if…

  • llm-app is primarily Jupyter Notebook; Kiln is Python.
  • License: llm-app is MIT, Kiln is Other.
  • Pricing: The repository is open-source under the MIT License, but additional services or support might incur costs..
  • Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs..
  • Tags unique to llm-app: chatbot, hugging-face, llm, llm-local.
  • Also covers Inference & Serving.
  • When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti

When NOT to use llm-app

  • Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support.
  • Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities.
GitHubDetails

Explore

Kiln trust report →llm-app trust report →AI Agents category →Data & Retrieval category →Evaluation & Observability category →Model Training category →Inference & Serving 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 5.1k · llm-app 59k (synced Sep 20, 2026).

Common questions

What is the difference between Kiln and llm-app?
Kiln: Build, Evaluate, and Optimize AI Systems. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. See the comparison table for live GitHub stats and shared categories.
When should I choose Kiln over llm-app?
Choose Kiln over llm-app when Kiln is primarily Python; llm-app is Jupyter Notebook; License: Kiln is Other, llm-app is MIT; Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation; Also covers AI Agents; When you need extensive tools for evaluating custom AI agents.
When should I choose llm-app over Kiln?
Choose llm-app over Kiln when llm-app is primarily Jupyter Notebook; Kiln is Python; License: llm-app is MIT, Kiln is Other; Pricing: The repository is open-source under the MIT License, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.; Tags unique to llm-app: chatbot, hugging-face, llm, llm-local; Also covers Inference & Serving; When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti.
When should I avoid Kiln?
If your project strictly requires a lightweight tool without comprehensive dataset management options Avoid if you do not require advanced synthetic data generation capabilities
When should I avoid llm-app?
Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support. Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities.
Is Kiln or llm-app more popular on GitHub?
llm-app has more GitHub stars (58,920 vs 5,076). Stars measure visibility, not whether either tool fits your constraints.
Are Kiln and llm-app open source?
Yes - both are open-source projects on GitHub (Kiln: Other, llm-app: MIT).
Where can I find alternatives to Kiln or llm-app?
GraphCanon lists graph-backed alternatives at Kiln alternatives and llm-app alternatives (Kiln markdown twin, llm-app 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 llm-app?
Kiln: Very active. llm-app: Steady. 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 llm-app?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Kiln trust report; llm-app trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.