--- title: "server vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mariadb-server-vs-shubhamsaboo-awesome-llm-apps" tools: ["mariadb-server", "shubhamsaboo-awesome-llm-apps"] --- # server vs awesome-llm-apps *GraphCanon updated Aug 21, 2026* ## Verdict Pick server if mariaDB/server is a community-driven, robust SQL database solution with multiple storage engines and advanced capabilities such as full-text search and spatial extensions; 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. [server](https://mariadb.org) reports 8.1k GitHub stars, 2.1k forks, and 461 open issues, last pushed Aug 21, 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 [server's repository](https://github.com/MariaDB/server) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [server](/tools/mariadb-server.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | MariaDB/server | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 8,117 | 131,230 | | Forks | 2,079 | 19,346 | | Open issues | 461 | 13 | | Language | C++ | Python | | Adopt for | MariaDB/server is a community-driven, robust SQL database solution with multiple storage engines and advanced capabilities such as full-text search and spatial extensions. | 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 | GPL-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 | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [server](/tools/mariadb-server.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Days since push | 0d | 4d | | Open issues (now) | 461 | 13 | | Stars delta | +235 (30d) | +14k (30d) | | Open issues delta | -1 (30d) | +6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mariadb-server/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Decision facts: server - **Pricing:** freemium - MariaDB/server is free under the GPL-2.0 license but offers paid support and services through various business tiers. - **Requirements:** - System requirements vary greatly based on intended use, including size of data stores, query complexity, and storage engine choices. - **Adopt for:** MariaDB/server is a community-driven, robust SQL database solution with multiple storage engines and advanced capabilities such as full-text search and spatial extensions. - **License detail:** GPL-2.0 ## 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 server if… - server is primarily C++; awesome-llm-apps is Python. - License: server is GPL-2.0, awesome-llm-apps is Apache-2.0. - Pricing: MariaDB/server is free under the GPL-2.0 license but offers paid support and services through various business tiers.. - Requirements: - System requirements vary greatly based on intended use, including size of data stores, query complexity, and storage engine choices.. - Tags unique to server: database, relational-databases, sql, vector-database. - - You require a database that supports multiple storage engines, offering flexibility in handling different data types and workloads. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; server is C++. - License: awesome-llm-apps is Apache-2.0, server is GPL-2.0. - 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 server - - If your project strictly requires the latest version of the GPL, as MariaDB is specifically licensed under GPLv2 without provisions for later versions. - - In scenarios where tight integration with specific AWS services is essential; while compatible with AWS in general, it’s not specifically optimized like some proprietary solutions could be. ## 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 server and awesome-llm-apps? server: MariaDB/server. 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 server over awesome-llm-apps? Choose server over awesome-llm-apps when server is primarily C++; awesome-llm-apps is Python; License: server is GPL-2.0, awesome-llm-apps is Apache-2.0; Pricing: MariaDB/server is free under the GPL-2.0 license but offers paid support and services through various business tiers.; Requirements: - System requirements vary greatly based on intended use, including size of data stores, query complexity, and storage engine choices.; Tags unique to server: database, relational-databases, sql, vector-database; - You require a database that supports multiple storage engines, offering flexibility in handling different data types and workloads. ### When should I choose awesome-llm-apps over server? Choose awesome-llm-apps over server when awesome-llm-apps is primarily Python; server is C++; License: awesome-llm-apps is Apache-2.0, server is GPL-2.0; 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 server? - If your project strictly requires the latest version of the GPL, as MariaDB is specifically licensed under GPLv2 without provisions for later versions. - In scenarios where tight integration with specific AWS services is essential; while compatible with AWS in general, it’s not specifically optimized like some proprietary solutions could be. ### 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 server or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (131,230 vs 8,117). Stars measure visibility, not whether either tool fits your constraints. ### Are server and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (server: GPL-2.0, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to server or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [server alternatives](/tools/mariadb-server/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([server markdown twin](/tools/mariadb-server/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/mariadb-server-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, server or awesome-llm-apps? server: 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 server and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [server trust report](/tools/mariadb-server/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mariadb-server`](/api/graphcanon/graph?tool=mariadb-server) - 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/_