--- title: "awesome-vector-database vs endee" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dangkhoasdc-awesome-vector-database-vs-endee-io-endee" tools: ["dangkhoasdc-awesome-vector-database", "endee-io-endee"] --- # awesome-vector-database vs endee *GraphCanon updated Aug 21, 2026* ## Verdict Pick awesome-vector-database if a curated list of works on vector databases and high-dimensional structure searching without any implementation details; pick endee if endee is an efficient vector database capable of managing up to 1 billion vectors on one node, with significant performance boosts from its optimized indexing and execution. [awesome-vector-database](https://github.com/dangkhoasdc/awesome-vector-database) reports 355 GitHub stars, 27 forks, and 6 open issues, last pushed Jul 20, 2026. [endee](https://endee.io) has 1.3k stars, 1.7k forks, and 31 open issues, last pushed Jul 29, 2026. Figures are from public GitHub metadata via [awesome-vector-database's repository](https://github.com/dangkhoasdc/awesome-vector-database) and [endee's repository](https://github.com/endee-io/endee). | | [awesome-vector-database](/tools/dangkhoasdc-awesome-vector-database.md) | [endee](/tools/endee-io-endee.md) | | --- | --- | --- | | Tagline | A curated list of works on high dimensional structure/vector search and databases | A high-performance vector database handling up to 1B vectors on one node | | Stars | 355 | 1,305 | | Forks | 27 | 1,663 | | Open issues | 6 | 31 | | Language | - | C++ | | Adopt for | A curated list of works on vector databases and high-dimensional structure searching without any implementation details. | Endee is an efficient vector database capable of managing up to 1 billion vectors on one node, with significant performance boosts from its optimized indexing and execution. | | Persona | - | - | | Runtime | - | - | | License | CC0-1.0 | AGPL-3.0 | | Categories | Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-vector-database](/tools/dangkhoasdc-awesome-vector-database.md) | [endee](/tools/endee-io-endee.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 3d | 23d | | Open issues (now) | 6 | 31 | | Stars delta | Unknown | -24 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/dangkhoasdc-awesome-vector-database/trust.md) | [trust report](/tools/endee-io-endee/trust.md) | ## Decision facts: awesome-vector-database - **Adopt for:** A curated list of works on vector databases and high-dimensional structure searching without any implementation details. ## Decision facts: endee - **Pricing:** unknown - Information about the pricing model of Endee is not provided in the repository. - **Adopt for:** Endee is an efficient vector database capable of managing up to 1 billion vectors on one node, with significant performance boosts from its optimized indexing and execution. ## Choose when ### Choose awesome-vector-database if… - License: awesome-vector-database is CC0-1.0, endee is AGPL-3.0. - Tags unique to awesome-vector-database: approximate-nearest-neighbor-search, embedding-similarity, embeddings-similarity, nearest-neighbor-search. - If you require a comprehensive overview of vector database projects and research papers, as it aggregates information from various sources across the field. ### Choose endee if… - License: endee is AGPL-3.0, awesome-vector-database is CC0-1.0. - Pricing: Information about the pricing model of Endee is not provided in the repository.. - Tags unique to endee: ai-search, ann, hnsw, image-search. - endee ships Docker support for self-hosted deployment. - When you need extreme performance in handling large-scale vector datasets for AI搜索和图像搜索任务。 ## When NOT to use awesome-vector-database - To find ready-to-use implementations or specific product releases; this repository serves more as a collection of references rather than real-world tools. - If you are looking for direct integration code snippets or detailed tutorials, since the tool is centered on listing and curating resources without delving into practical guides. ## When NOT to use endee - When your project requires a vector database under less permissive licenses than AGPL-3.0. - ，Endee。 - AI，。 ## Common questions ### What is the difference between awesome-vector-database and endee? awesome-vector-database: A curated list of works on high dimensional structure/vector search and databases. endee: A high-performance vector database handling up to 1B vectors on one node. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-vector-database over endee? Choose awesome-vector-database over endee when License: awesome-vector-database is CC0-1.0, endee is AGPL-3.0; Tags unique to awesome-vector-database: approximate-nearest-neighbor-search, embedding-similarity, embeddings-similarity, nearest-neighbor-search; If you require a comprehensive overview of vector database projects and research papers, as it aggregates information from various sources across the field. ### When should I choose endee over awesome-vector-database? Choose endee over awesome-vector-database when License: endee is AGPL-3.0, awesome-vector-database is CC0-1.0; Pricing: Information about the pricing model of Endee is not provided in the repository.; Tags unique to endee: ai-search, ann, hnsw, image-search; endee ships Docker support for self-hosted deployment; When you need extreme performance in handling large-scale vector datasets for AI搜索和图像搜索任务。. ### When should I avoid awesome-vector-database? To find ready-to-use implementations or specific product releases; this repository serves more as a collection of references rather than real-world tools. If you are looking for direct integration code snippets or detailed tutorials, since the tool is centered on listing and curating resources without delving into practical guides. ### When should I avoid endee? When your project requires a vector database under less permissive licenses than AGPL-3.0. ，Endee。 AI，。 ### Is awesome-vector-database or endee more popular on GitHub? endee has more GitHub stars (1,305 vs 355). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-vector-database and endee open source? Yes - both are open-source projects on GitHub (awesome-vector-database: CC0-1.0, endee: AGPL-3.0). ### Where can I find alternatives to awesome-vector-database or endee? GraphCanon lists graph-backed alternatives at [awesome-vector-database alternatives](/tools/dangkhoasdc-awesome-vector-database/alternatives) and [endee alternatives](/tools/endee-io-endee/alternatives) ([awesome-vector-database markdown twin](/tools/dangkhoasdc-awesome-vector-database/alternatives.md), [endee markdown twin](/tools/endee-io-endee/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/dangkhoasdc-awesome-vector-database-vs-endee-io-endee.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-vector-database or endee? awesome-vector-database: Very active. endee: 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 awesome-vector-database and endee? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-vector-database trust report](/tools/dangkhoasdc-awesome-vector-database/trust); [endee trust report](/tools/endee-io-endee/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dangkhoasdc-awesome-vector-database`](/api/graphcanon/graph?tool=dangkhoasdc-awesome-vector-database) - 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/_