Comparison
burr vs awesome-llm-apps
Verdict
Pick burr if burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management; 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 cases in Python.
Markdown twin · burr alternatives · awesome-llm-apps alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | burr | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (2d since push) As of today · github_public_v1 | Very active (4d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- burr
- Build applications that make decisions like chatbots, agents; monitor and manage state.
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- burr
- 2.5k
- awesome-llm-apps
- 131k
Forks
- burr
- 186
- awesome-llm-apps
- 19k
Open issues
- burr
- 105
- awesome-llm-apps
- 13
Language
- burr
- Python
- awesome-llm-apps
- Python
Adopt for
- burr
- Burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management.
- 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
- burr
- -
- awesome-llm-apps
- -
Runtime
- burr
- -
- awesome-llm-apps
- -
License
- burr
- Apache-2.0 License, allowing free use but retaining notice requirements and disclaimers as per the license terms.
- 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
- burr
- Aug 17, 2026
- awesome-llm-apps
- Aug 3, 2026
Categories
- burr
- AI Agents, Evaluation & Observability
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- burr
- 2d
- awesome-llm-apps
- 4d
Open issues (now)
- burr
- 105
- awesome-llm-apps
- 13
Stars delta
- burr
- +35 (30d)
- awesome-llm-apps
- +14k (30d)
Open issues delta
- burr
- -2 (30d)
- awesome-llm-apps
- +6 (30d)
Owner type
- burr
- Organization
- awesome-llm-apps
- User
Full report
- burr
- Trust report
- awesome-llm-apps
- Trust report
Shared compatibility
- Python · burr: Python runtime · awesome-llm-apps: Python runtime
Choose burr if…
- Tags unique to burr: ai, burr, chatbot-framework, dags.
- Also covers Evaluation & Observability.
- You prefer Python for developing AI-driven applications that require state persistence across interactions.
When NOT to use burr
- If you need a lightweight solution without the overhead of server setup and maintenance for monitoring.
- When your application does not interact heavily with user states or require extensive tracing capabilities.
Choose awesome-llm-apps if…
- 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 (apache/burr) · observed Aug 20, 2026
- GitHub forks (apache/burr) · observed Aug 20, 2026
- Last push (apache/burr) · observed Aug 17, 2026
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: burr 2.5k · awesome-llm-apps 131k (synced Aug 20, 2026).
Common questions
- What is the difference between burr and awesome-llm-apps?
- burr: Build applications that make decisions like chatbots, agents; monitor and manage state.. 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 burr over awesome-llm-apps?
- Choose burr over awesome-llm-apps when Tags unique to burr: ai, burr, chatbot-framework, dags; Also covers Evaluation & Observability; You prefer Python for developing AI-driven applications that require state persistence across interactions.
- When should I choose awesome-llm-apps over burr?
- Choose awesome-llm-apps over burr when 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 burr?
- If you need a lightweight solution without the overhead of server setup and maintenance for monitoring. When your application does not interact heavily with user states or require extensive tracing capabilities.
- 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 burr or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (131,230 vs 2,521). Stars measure visibility, not whether either tool fits your constraints.
- Are burr and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (burr: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to burr or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at burr alternatives and awesome-llm-apps alternatives (burr 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, burr or awesome-llm-apps?
- burr: 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 burr and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: burr trust report; awesome-llm-apps trust report.