--- title: "paradedb vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/paradedb-paradedb-vs-shubhamsaboo-awesome-llm-apps" tools: ["paradedb-paradedb", "shubhamsaboo-awesome-llm-apps"] --- # paradedb vs awesome-llm-apps *GraphCanon updated Jul 12, 2026* ## Verdict Pick paradedb when paradedb is primarily Rust; awesome-llm-apps is Python; pick awesome-llm-apps when awesome-llm-apps is primarily Python; paradedb is Rust. [paradedb](https://paradedb.com) reports 9.0k GitHub stars, 419 forks, and 155 open issues, last pushed Jul 11, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 118k stars, 17k forks, and 6 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [paradedb's repository](https://github.com/paradedb/paradedb) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [paradedb](/tools/paradedb-paradedb.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension. | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | | Stars | 9,036 | 117,774 | | Forks | 419 | 17,498 | | Open issues | 155 | 6 | | Language | Rust | Python | | 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. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | 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._ | | [paradedb](/tools/paradedb-paradedb.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Open issues (now) | 155 | 6 | | Owner type | Organization | User | | Full report | [trust report](/tools/paradedb-paradedb/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## 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 paradedb if… - paradedb is primarily Rust; awesome-llm-apps is Python. - License: paradedb is AGPL-3.0, awesome-llm-apps is Apache-2.0. - Tags unique to paradedb: full-text-search, htap, analytics, database. - Also covers Vector Databases. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; paradedb is Rust. - License: awesome-llm-apps is Apache-2.0, paradedb is AGPL-3.0. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Tags unique to awesome-llm-apps: llms, deployable, applications, agents. - Also covers AI Agents. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ## When NOT to use paradedb - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## 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 paradedb and awesome-llm-apps? paradedb: One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.. awesome-llm-apps: 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.. See the comparison table for live GitHub stats and shared categories. ### When should I choose paradedb over awesome-llm-apps? Choose paradedb over awesome-llm-apps when paradedb is primarily Rust; awesome-llm-apps is Python; License: paradedb is AGPL-3.0, awesome-llm-apps is Apache-2.0; Tags unique to paradedb: full-text-search, htap, analytics, database; Also covers Vector Databases. ### When should I choose awesome-llm-apps over paradedb? Choose awesome-llm-apps over paradedb when awesome-llm-apps is primarily Python; paradedb is Rust; License: awesome-llm-apps is Apache-2.0, paradedb is AGPL-3.0; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: llms, deployable, applications, agents; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I avoid paradedb? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### 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 paradedb or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (117,774 vs 9,036). Stars measure visibility, not whether either tool fits your constraints. ### Are paradedb and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (paradedb: AGPL-3.0, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to paradedb or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [paradedb alternatives](/tools/paradedb-paradedb/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([paradedb markdown twin](/tools/paradedb-paradedb/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/paradedb-paradedb-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, paradedb or awesome-llm-apps? paradedb: 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 paradedb and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [paradedb trust report](/tools/paradedb-paradedb/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=paradedb-paradedb`](/api/graphcanon/graph?tool=paradedb-paradedb) - 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/_