--- title: "awesome-vector-search vs lantern" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/currentslab-awesome-vector-search-vs-lanterndata-lantern" tools: ["currentslab-awesome-vector-search", "lanterndata-lantern"] --- # awesome-vector-search vs lantern *GraphCanon updated Aug 23, 2026* ## Verdict Pick awesome-vector-search if curated collection of vector search-related resources including libraries, services, and research papers; pick lantern if lantern is an extension for PostgreSQL written in Rust, providing capabilities for approximate nearest neighbor search tailored for AI applications. [awesome-vector-search](https://github.com/currentslab/awesome-vector-search) reports 1.6k GitHub stars, 127 forks, and 19 open issues, last pushed Jul 6, 2026. [lantern](https://lantern.dev) has 889 stars, 67 forks, and 42 open issues, last pushed Dec 12, 2024. Figures are from public GitHub metadata via [awesome-vector-search's repository](https://github.com/currentslab/awesome-vector-search) and [lantern's repository](https://github.com/lanterndata/lantern). | | [awesome-vector-search](/tools/currentslab-awesome-vector-search.md) | [lantern](/tools/lanterndata-lantern.md) | | --- | --- | --- | | Tagline | Collections of vector search related libraries, service and research papers | PostgreSQL vector database extension for building AI applications | | Stars | 1,581 | 889 | | Forks | 127 | 67 | | Open issues | 19 | 42 | | Language | - | Rust | | Adopt for | Curated collection of vector search-related resources including libraries, services, and research papers. | Lantern is an extension for PostgreSQL written in Rust, providing capabilities for approximate nearest neighbor search tailored for AI applications. | | Persona | - | - | | Runtime | - | - | | License | MIT | AGPL-3.0, allowing free use and modification but requiring derivative works to be open-sourced as well. | | Categories | Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-vector-search](/tools/currentslab-awesome-vector-search.md) | [lantern](/tools/lanterndata-lantern.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 48d | 618d | | Open issues (now) | 19 | 42 | | Stars delta | +5 (30d) | 0 (30d) | | Open issues delta | +5 (30d) | 0 (30d) | | Full report | [trust report](/tools/currentslab-awesome-vector-search/trust.md) | [trust report](/tools/lanterndata-lantern/trust.md) | ## Decision facts: awesome-vector-search - **Adopt for:** Curated collection of vector search-related resources including libraries, services, and research papers. ## Decision facts: lantern - **Adopt for:** Lantern is an extension for PostgreSQL written in Rust, providing capabilities for approximate nearest neighbor search tailored for AI applications. - **License detail:** AGPL-3.0, allowing free use and modification but requiring derivative works to be open-sourced as well. ## Choose when ### Choose awesome-vector-search if… - License: awesome-vector-search is MIT, lantern is AGPL-3.0. - Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, nearest-neighbor-search. - You need a comprehensive overview of vector search technology. ### Choose lantern if… - License: lantern is AGPL-3.0, awesome-vector-search is MIT. - Tags unique to lantern: ai, ann, approximate-nearest-neighbor-search, data-science. - When you need to perform vector database operations integrated with a PostgreSQL environment ## When NOT to use awesome-vector-search - Require real-time vector search service implementation details outside listed libraries. - Seeking detailed code tutorials rather than a list of resources. ## When NOT to use lantern - Avoid when an open-source license like AGPL-3.0 might interfere with proprietary or closed-source projects - Not suitable if you require direct support for non-vector indexing operations outside ANN capabilities ## Common questions ### What is the difference between awesome-vector-search and lantern? awesome-vector-search: Collections of vector search related libraries, service and research papers. lantern: PostgreSQL vector database extension for building AI applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-vector-search over lantern? Choose awesome-vector-search over lantern when License: awesome-vector-search is MIT, lantern is AGPL-3.0; Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, nearest-neighbor-search; You need a comprehensive overview of vector search technology. ### When should I choose lantern over awesome-vector-search? Choose lantern over awesome-vector-search when License: lantern is AGPL-3.0, awesome-vector-search is MIT; Tags unique to lantern: ai, ann, approximate-nearest-neighbor-search, data-science; When you need to perform vector database operations integrated with a PostgreSQL environment. ### When should I avoid awesome-vector-search? Require real-time vector search service implementation details outside listed libraries. Seeking detailed code tutorials rather than a list of resources. ### When should I avoid lantern? Avoid when an open-source license like AGPL-3.0 might interfere with proprietary or closed-source projects Not suitable if you require direct support for non-vector indexing operations outside ANN capabilities ### Is awesome-vector-search or lantern more popular on GitHub? awesome-vector-search has more GitHub stars (1,581 vs 889). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-vector-search and lantern open source? Yes - both are open-source projects on GitHub (awesome-vector-search: MIT, lantern: AGPL-3.0). ### Where can I find alternatives to awesome-vector-search or lantern? GraphCanon lists graph-backed alternatives at [awesome-vector-search alternatives](/tools/currentslab-awesome-vector-search/alternatives) and [lantern alternatives](/tools/lanterndata-lantern/alternatives) ([awesome-vector-search markdown twin](/tools/currentslab-awesome-vector-search/alternatives.md), [lantern markdown twin](/tools/lanterndata-lantern/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/currentslab-awesome-vector-search-vs-lanterndata-lantern.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-vector-search or lantern? awesome-vector-search: Steady. lantern: Dormant. 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-search and lantern? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-vector-search trust report](/tools/currentslab-awesome-vector-search/trust); [lantern trust report](/tools/lanterndata-lantern/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=currentslab-awesome-vector-search`](/api/graphcanon/graph?tool=currentslab-awesome-vector-search) - 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/_