Comparison
Vane vs awesome-llm-apps
Verdict
Pick Vane if vane is an AI-powered answering engine that can be installed using Docker or built from source. It integrates with SearxNG for search capabilities and supports various AI models; pick awesome-llm-apps if 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.
Markdown twin · Vane alternatives · awesome-llm-apps alternatives
GraphCanon updated Sep 20, 2026
7views this month
vs
Trust & integrity
| Signal | Vane | awesome-llm-apps |
|---|---|---|
| Maintenance | Active (16d since push) As of Sep 18, 2026 · github_public_v1 | Very active (4d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- Vane
- Vane is an AI-powered answering engine.
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- Vane
- 37k
- awesome-llm-apps
- 136k
Forks
- Vane
- 4.1k
- awesome-llm-apps
- 20k
Open issues
- Vane
- 352
- awesome-llm-apps
- 10
Language
- Vane
- TypeScript
- awesome-llm-apps
- Python
Adopt for
- Vane
- Vane is an AI-powered answering engine that can be installed using Docker or built from source. It integrates with SearxNG for search capabilities and supports various AI models.
- 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
- Vane
- -
- awesome-llm-apps
- -
Runtime
- Vane
- -
- awesome-llm-apps
- -
License
- Vane
- MIT
- 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
- Vane
- Sep 1, 2026
- awesome-llm-apps
- Sep 2, 2026
Categories
- Vane
- AI Agents, Data & Retrieval
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- Vane
- Active (82%)
- awesome-llm-apps
- Very active (96%)
Days since push
- Vane
- 16d
- awesome-llm-apps
- 4d
Open issues (now)
- Vane
- 352
- awesome-llm-apps
- 10
Stars delta
- Vane
- +682 (30d)
- awesome-llm-apps
- +5.2k (30d)
Open issues delta
- Vane
- +5 (30d)
- awesome-llm-apps
- -3 (30d)
Full report
- Vane
- Trust report
- awesome-llm-apps
- Trust report
Choose Vane if…
- Vane is primarily TypeScript; awesome-llm-apps is Python.
- License: Vane is MIT, awesome-llm-apps is Apache-2.0.
- Tags unique to Vane: ai-agents, ai-search-engine, answering-engine, artificial-intelligence.
- Vane ships Docker support for self-hosted deployment.
- Use Vane when you need an AI-powered answering engine that can be easily set up with Docker, reducing the complexity of managing dependencies and environment variables.
When NOT to use Vane
- Avoid Vane if you do not have the technical capability to set up and manage Docker containers or if you prefer a solution that does not require Docker for installation.
- Do not use Vane if you need a solution that does not integrate with SearxNG, as Vane's search capabilities are tightly coupled with SearxNG, requiring specific configurations.
- Skip Vane if you are looking for a fully managed service without the need for self-hosting, as Vane requires setting up and maintaining your own instance.
Choose awesome-llm-apps if…
- awesome-llm-apps is primarily Python; Vane is TypeScript.
- License: awesome-llm-apps is Apache-2.0, Vane is MIT.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- 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 (ItzCrazyKns/Vane) · observed Sep 20, 2026
- GitHub forks (ItzCrazyKns/Vane) · observed Sep 20, 2026
- Last push (ItzCrazyKns/Vane) · observed Sep 1, 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 (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Vane 37k · awesome-llm-apps 136k (synced Sep 20, 2026).
Common questions
- What is the difference between Vane and awesome-llm-apps?
- Vane: Vane is an AI-powered answering engine.. 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 Vane over awesome-llm-apps?
- Choose Vane over awesome-llm-apps when Vane is primarily TypeScript; awesome-llm-apps is Python; License: Vane is MIT, awesome-llm-apps is Apache-2.0; Tags unique to Vane: ai-agents, ai-search-engine, answering-engine, artificial-intelligence; Vane ships Docker support for self-hosted deployment; Use Vane when you need an AI-powered answering engine that can be easily set up with Docker, reducing the complexity of managing dependencies and environment variables.
- When should I choose awesome-llm-apps over Vane?
- Choose awesome-llm-apps over Vane when awesome-llm-apps is primarily Python; Vane is TypeScript; License: awesome-llm-apps is Apache-2.0, Vane is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid Vane?
- Avoid Vane if you do not have the technical capability to set up and manage Docker containers or if you prefer a solution that does not require Docker for installation. Do not use Vane if you need a solution that does not integrate with SearxNG, as Vane's search capabilities are tightly coupled with SearxNG, requiring specific configurations. Skip Vane if you are looking for a fully managed service without the need for self-hosting, as Vane requires setting up and maintaining your own instance.
- 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 Vane or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (136,444 vs 36,869). Stars measure visibility, not whether either tool fits your constraints.
- Are Vane and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (Vane: MIT, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to Vane or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at Vane alternatives and awesome-llm-apps alternatives (Vane 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, Vane or awesome-llm-apps?
- Vane: 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 Vane and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Vane trust report; awesome-llm-apps trust report.