--- title: "chroma-cookbooks vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chroma-core-chroma-cookbooks-vs-shubhamsaboo-awesome-llm-apps" tools: ["chroma-core-chroma-cookbooks", "shubhamsaboo-awesome-llm-apps"] --- # chroma-cookbooks vs awesome-llm-apps *GraphCanon updated Sep 20, 2026* ## Verdict Pick chroma-cookbooks if chroma Cookbooks specialize in providing comprehensive guides and code examples for AI application development using Chroma. It is ideal for developers familiar with Chroma Cloud; 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. [chroma-cookbooks](https://trychroma.com) reports 94 GitHub stars, 15 forks, and 0 open issues, last pushed Mar 16, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 136k stars, 20k forks, and 10 open issues, last pushed Sep 2, 2026. Figures are from public GitHub metadata via [chroma-cookbooks's repository](https://github.com/chroma-core/chroma-cookbooks) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [chroma-cookbooks](/tools/chroma-core-chroma-cookbooks.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | Demos and sample apps using Chroma | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 94 | 136,444 | | Forks | 15 | 20,078 | | Open issues | 0 | 10 | | Language | Jupyter Notebook | Python | | Adopt for | Chroma Cookbooks specialize in providing comprehensive guides and code examples for AI application development using Chroma. It is ideal for developers familiar with Chroma Cloud. | 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 | - | 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 | Data & Retrieval, Evaluation & Observability | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chroma-cookbooks](/tools/chroma-core-chroma-cookbooks.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 175d | 4d | | Open issues (now) | 0 | 10 | | Stars delta | 0 (30d) | +5.2k (30d) | | Open issues delta | 0 (30d) | -3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/chroma-core-chroma-cookbooks/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Decision facts: chroma-cookbooks - **Pricing:** unknown - Lacks information on pricing details for the cookbooks or any associated costs from using Chroma Cloud services other than noting free credits are available upon signup. - **Requirements:** Access to a Chroma Cloud account is needed to explore many of the projects in this repository.; Basic knowledge of AI concepts and some experience with building AI applications can be advantageous for leveraging these cookbooks effectively. - **Adopt for:** Chroma Cookbooks specialize in providing comprehensive guides and code examples for AI application development using Chroma. It is ideal for developers familiar with Chroma Cloud. ## 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 chroma-cookbooks if… - chroma-cookbooks is primarily Jupyter Notebook; awesome-llm-apps is Python. - Pricing: Lacks information on pricing details for the cookbooks or any associated costs from using Chroma Cloud services other than noting free credits are available upon signup.. - Requirements: Access to a Chroma Cloud account is needed to explore many of the projects in this repository.; Basic knowledge of AI concepts and some experience with building AI applications can be advantageous for leveraging these cookbooks effectively.. - Tags unique to chroma-cookbooks: ai, ai-agents, chromadb, llm-evaluation. - Also covers Evaluation & Observability. - You require specific examples of how to build applications that integrate AI functionalities as demonstrated by Chroma's own tools. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; chroma-cookbooks is Jupyter Notebook. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Tags unique to awesome-llm-apps: agents, applications, customizable, deployable. - Also covers AI Agents. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ## When NOT to use chroma-cookbooks - If you are looking for a solution that does not require a Chroma Cloud account or interaction with their cloud-based technologies. - In scenarios where an open-source dependency is preferred over proprietary examples, since this repository may tie directly to Chroma's ecosystem and services. ## 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 chroma-cookbooks and awesome-llm-apps? chroma-cookbooks: Demos and sample apps using Chroma. 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 chroma-cookbooks over awesome-llm-apps? Choose chroma-cookbooks over awesome-llm-apps when chroma-cookbooks is primarily Jupyter Notebook; awesome-llm-apps is Python; Pricing: Lacks information on pricing details for the cookbooks or any associated costs from using Chroma Cloud services other than noting free credits are available upon signup.; Requirements: Access to a Chroma Cloud account is needed to explore many of the projects in this repository.; Basic knowledge of AI concepts and some experience with building AI applications can be advantageous for leveraging these cookbooks effectively.; Tags unique to chroma-cookbooks: ai, ai-agents, chromadb, llm-evaluation; Also covers Evaluation & Observability; You require specific examples of how to build applications that integrate AI functionalities as demonstrated by Chroma's own tools. ### When should I choose awesome-llm-apps over chroma-cookbooks? Choose awesome-llm-apps over chroma-cookbooks when awesome-llm-apps is primarily Python; chroma-cookbooks is Jupyter Notebook; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I avoid chroma-cookbooks? If you are looking for a solution that does not require a Chroma Cloud account or interaction with their cloud-based technologies. In scenarios where an open-source dependency is preferred over proprietary examples, since this repository may tie directly to Chroma's ecosystem and services. ### 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 chroma-cookbooks or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (136,444 vs 94). Stars measure visibility, not whether either tool fits your constraints. ### Are chroma-cookbooks and awesome-llm-apps open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to chroma-cookbooks or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [chroma-cookbooks alternatives](/tools/chroma-core-chroma-cookbooks/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([chroma-cookbooks markdown twin](/tools/chroma-core-chroma-cookbooks/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/chroma-core-chroma-cookbooks-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, chroma-cookbooks or awesome-llm-apps? chroma-cookbooks: Slowing. 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 chroma-cookbooks and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chroma-cookbooks trust report](/tools/chroma-core-chroma-cookbooks/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chroma-core-chroma-cookbooks`](/api/graphcanon/graph?tool=chroma-core-chroma-cookbooks) - 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/_