--- title: "aquila vs meme-search" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aquila-network-aquila-vs-neonwatty-meme-search" tools: ["aquila-network-aquila", "neonwatty-meme-search"] --- # aquila vs meme-search *GraphCanon updated Aug 22, 2026* ## Verdict Pick aquila if aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches; pick meme-search if meme-search is an open-source meme search engine for self-hosting that uses Python, Ruby and Docker with semantic searching capabilities via machine learning algorithms. [aquila](https://aquila.network) reports 379 GitHub stars, 26 forks, and 13 open issues, last pushed May 6, 2024. [meme-search](https://neonwatty.github.io/meme-search/) has 717 stars, 27 forks, and 2 open issues, last pushed Aug 5, 2026. Figures are from public GitHub metadata via [aquila's repository](https://github.com/Aquila-Network/aquila) and [meme-search's repository](https://github.com/neonwatty/meme-search). | | [aquila](/tools/aquila-network-aquila.md) | [meme-search](/tools/neonwatty-meme-search.md) | | --- | --- | --- | | Tagline | Efficient Neural Search Engine | An open-source meme search engine designed for self-hosting using Python, Ruby and Docker. | | Stars | 379 | 717 | | Forks | 26 | 27 | | Open issues | 13 | 2 | | Language | HTML | Ruby | | Adopt for | Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. | meme-search is an open-source meme search engine for self-hosting that uses Python, Ruby and Docker with semantic searching capabilities via machine learning algorithms. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aquila](/tools/aquila-network-aquila.md) | [meme-search](/tools/neonwatty-meme-search.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 817d | 16d | | Open issues (now) | 13 | 2 | | Stars delta | Unknown | +22 (30d) | | Open issues delta | Unknown | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/aquila-network-aquila/trust.md) | [trust report](/tools/neonwatty-meme-search/trust.md) | ## Decision facts: aquila - **Adopt for:** Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. ## Decision facts: meme-search - **Adopt for:** meme-search is an open-source meme search engine for self-hosting that uses Python, Ruby and Docker with semantic searching capabilities via machine learning algorithms. ## Choose when ### Choose aquila if… - aquila is primarily HTML; meme-search is Ruby. - Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors. - When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary ### Choose meme-search if… - meme-search is primarily Ruby; aquila is HTML. - Tags unique to meme-search: ai, docker, homelab, machine-learning. - meme-search ships Docker support for self-hosted deployment. - You require a specialized tool designed to specifically locate memes in your collection or the web using a self-hosted solution. ## When NOT to use aquila - If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration - In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide ## When NOT to use meme-search - The need arises for a ready-to-use cloud-based service without managing local hosting configurations, as meme-search requires setting up locally using Docker. - If the focus is on general-purpose data retrieval or vector database management that does not involve memes or specific self-hosted setups. ## Common questions ### What is the difference between aquila and meme-search? aquila: Efficient Neural Search Engine. meme-search: An open-source meme search engine designed for self-hosting using Python, Ruby and Docker.. See the comparison table for live GitHub stats and shared categories. ### When should I choose aquila over meme-search? Choose aquila over meme-search when aquila is primarily HTML; meme-search is Ruby; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary. ### When should I choose meme-search over aquila? Choose meme-search over aquila when meme-search is primarily Ruby; aquila is HTML; Tags unique to meme-search: ai, docker, homelab, machine-learning; meme-search ships Docker support for self-hosted deployment; You require a specialized tool designed to specifically locate memes in your collection or the web using a self-hosted solution. ### When should I avoid aquila? If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide ### When should I avoid meme-search? The need arises for a ready-to-use cloud-based service without managing local hosting configurations, as meme-search requires setting up locally using Docker. If the focus is on general-purpose data retrieval or vector database management that does not involve memes or specific self-hosted setups. ### Is aquila or meme-search more popular on GitHub? meme-search has more GitHub stars (717 vs 379). Stars measure visibility, not whether either tool fits your constraints. ### Are aquila and meme-search open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to aquila or meme-search? GraphCanon lists graph-backed alternatives at [aquila alternatives](/tools/aquila-network-aquila/alternatives) and [meme-search alternatives](/tools/neonwatty-meme-search/alternatives) ([aquila markdown twin](/tools/aquila-network-aquila/alternatives.md), [meme-search markdown twin](/tools/neonwatty-meme-search/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/aquila-network-aquila-vs-neonwatty-meme-search.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aquila or meme-search? aquila: Dormant. meme-search: 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 aquila and meme-search? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aquila trust report](/tools/aquila-network-aquila/trust); [meme-search trust report](/tools/neonwatty-meme-search/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aquila-network-aquila`](/api/graphcanon/graph?tool=aquila-network-aquila) - 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/_