--- title: "crate vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/crate-crate-vs-shubhamsaboo-awesome-llm-apps" tools: ["crate-crate", "shubhamsaboo-awesome-llm-apps"] --- # crate vs awesome-llm-apps *GraphCanon updated Sep 20, 2026* ## Verdict Pick crate if crateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing; 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. [crate](https://cratedb.com/database) reports 4.4k GitHub stars, 617 forks, and 325 open issues, last pushed Sep 18, 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 [crate's repository](https://github.com/crate/crate) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [crate](/tools/crate-crate.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | Distributed and Scalable SQL Database for Near Real-Time Data Analysis | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 4,436 | 136,444 | | Forks | 617 | 20,078 | | Open issues | 325 | 10 | | Language | Java | Python | | Adopt for | CrateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing. | 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 | 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, Vector Databases | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [crate](/tools/crate-crate.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Days since push | 1d | 4d | | Open issues (now) | 325 | 10 | | Stars delta | +20 (30d) | +5.2k (30d) | | Open issues delta | +8 (30d) | -3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/crate-crate/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Decision facts: crate - **Adopt for:** CrateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing. ## 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 crate if… - crate is primarily Java; awesome-llm-apps is Python. - Tags unique to crate: analytics, big-data, cratedb, database. - Also covers Vector Databases. - - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; crate is Java. - 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 crate - - Avoid if your application environment strictly mandates a specific type of database that isn’t PostgreSQL-compliant, and requires custom integrations. - - Not suitable for applications needing absolute transactional guarantees with strict ACID compliance at the expense of performance. ## 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 crate and awesome-llm-apps? crate: Distributed and Scalable SQL Database for Near Real-Time Data Analysis. 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 crate over awesome-llm-apps? Choose crate over awesome-llm-apps when crate is primarily Java; awesome-llm-apps is Python; Tags unique to crate: analytics, big-data, cratedb, database; Also covers Vector Databases; - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally. ### When should I choose awesome-llm-apps over crate? Choose awesome-llm-apps over crate when awesome-llm-apps is primarily Python; crate is Java; 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 crate? - Avoid if your application environment strictly mandates a specific type of database that isn’t PostgreSQL-compliant, and requires custom integrations. - Not suitable for applications needing absolute transactional guarantees with strict ACID compliance at the expense of performance. ### 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 crate or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (136,444 vs 4,436). Stars measure visibility, not whether either tool fits your constraints. ### Are crate and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (crate: Apache-2.0, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to crate or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [crate alternatives](/tools/crate-crate/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([crate markdown twin](/tools/crate-crate/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/crate-crate-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, crate or awesome-llm-apps? crate: 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 crate and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [crate trust report](/tools/crate-crate/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=crate-crate`](/api/graphcanon/graph?tool=crate-crate) - 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/_