--- title: "burr vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-burr-vs-shubhamsaboo-awesome-llm-apps" tools: ["apache-burr", "shubhamsaboo-awesome-llm-apps"] --- # burr vs awesome-llm-apps *GraphCanon updated Aug 20, 2026* ## 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. [burr](https://burr.apache.org/) reports 2.5k GitHub stars, 186 forks, and 105 open issues, last pushed Aug 17, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 131k stars, 19k forks, and 13 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [burr's repository](https://github.com/apache/burr) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [burr](/tools/apache-burr.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | Build applications that make decisions like chatbots, agents; monitor and manage state. | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 2,521 | 131,230 | | Forks | 186 | 19,346 | | Open issues | 105 | 13 | | Language | Python | Python | | Adopt for | Burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management. | 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 | - | - | | Runtime | - | - | | License | Apache-2.0 License, allowing free use but retaining notice requirements and disclaimers as per the license terms. | 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. | | Categories | AI Agents, Evaluation & Observability | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [burr](/tools/apache-burr.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Days since push | 2d | 4d | | Open issues (now) | 105 | 13 | | Stars delta | +35 (30d) | +14k (30d) | | Open issues delta | -2 (30d) | +6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/apache-burr/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Shared compatibility - **Python**: [burr](/tools/apache-burr.md) - Python runtime; [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - Python runtime ## Decision facts: burr - **Adopt for:** Burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management. - **License detail:** Apache-2.0 License, allowing free use but retaining notice requirements and disclaimers as per the license terms. ## Decision facts: awesome-llm-apps - **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed. - **Adopt for:** 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. - **License detail:** 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. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/apache-burr/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([burr markdown twin](/tools/apache-burr/alternatives.md), [awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/alternatives.md)), 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](/compare/apache-burr-vs-shubhamsaboo-awesome-llm-apps.md) 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](/tools/apache-burr/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-burr`](/api/graphcanon/graph?tool=apache-burr) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_