Comparison
headlamp vs awesome-llm-apps
Verdict
Pick headlamp when headlamp is primarily TypeScript; awesome-llm-apps is Python; pick awesome-llm-apps when awesome-llm-apps is primarily Python; headlamp is TypeScript.
Markdown twin · headlamp alternatives · awesome-llm-apps alternatives
GraphCanon updated today
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Trust & integrity
| Signal | headlamp | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (3d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-15 As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- headlamp
- A Kubernetes web UI that is fully-featured, user-friendly and extensible
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- headlamp
- 6.9k
- awesome-llm-apps
- 120k
Forks
- headlamp
- 931
- awesome-llm-apps
- 18k
Open issues
- headlamp
- 791
- awesome-llm-apps
- 17
Language
- headlamp
- TypeScript
- awesome-llm-apps
- Python
Adopt for
- headlamp
- -
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- headlamp
- -
- awesome-llm-apps
- -
Runtime
- headlamp
- -
- awesome-llm-apps
- -
License
- headlamp
- Apache-2.0
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- headlamp
- Jul 14, 2026
- awesome-llm-apps
- Jul 11, 2026
Categories
- headlamp
- AI Agents, Evaluation & Observability
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- headlamp
- 0d
- awesome-llm-apps
- 3d
Open issues (now)
- headlamp
- 791
- awesome-llm-apps
- 17
Owner type
- headlamp
- Organization
- awesome-llm-apps
- User
OSV dependency advisories
- headlamp
- No published findings from this source as of 2026-07-15
- awesome-llm-apps
- No lockfile (source not queried)
Full report
- headlamp
- Trust report
- awesome-llm-apps
- Trust report
Choose headlamp if…
- headlamp is primarily TypeScript; awesome-llm-apps is Python.
- Tags unique to headlamp: cloud-native, dashboard, debugging, devops.
- Also covers Evaluation & Observability.
- headlamp ships Docker support for self-hosted deployment.
When NOT to use headlamp
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose awesome-llm-apps if…
- awesome-llm-apps is primarily Python; headlamp is TypeScript.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- Also covers Data & Retrieval.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kubernetes-sigs/headlamp) · observed Jul 15, 2026
- GitHub forks (kubernetes-sigs/headlamp) · observed Jul 15, 2026
- Last push (kubernetes-sigs/headlamp) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Jul 14, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Jul 14, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: headlamp 6.9k · awesome-llm-apps 120k (synced Jul 15, 2026).
Common questions
- What is the difference between headlamp and awesome-llm-apps?
- headlamp: A Kubernetes web UI that is fully-featured, user-friendly and extensible. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
- When should I choose headlamp over awesome-llm-apps?
- Choose headlamp over awesome-llm-apps when headlamp is primarily TypeScript; awesome-llm-apps is Python; Tags unique to headlamp: cloud-native, dashboard, debugging, devops; Also covers Evaluation & Observability; headlamp ships Docker support for self-hosted deployment.
- When should I choose awesome-llm-apps over headlamp?
- Choose awesome-llm-apps over headlamp when awesome-llm-apps is primarily Python; headlamp is TypeScript; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid headlamp?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is headlamp or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (119,936 vs 6,871). Stars measure visibility, not whether either tool fits your constraints.
- Are headlamp and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (headlamp: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to headlamp or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at headlamp alternatives and awesome-llm-apps alternatives (headlamp markdown twin, awesome-llm-apps 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, headlamp or awesome-llm-apps?
- headlamp: Very active. awesome-llm-apps: 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 headlamp and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: headlamp trust report; awesome-llm-apps trust report.