Comparison
aquila vs meilisearch
Verdict
Pick aquila if aquila is a neural search engine that indexes latent vectors with JSON metadata, enabling efficient k-NN search operations; pick meilisearch if meilisearch is a Rust-based, lightning-fast hybrid search engine that integrates easily into web and mobile applications. It supports both full-text and vector searches.
Markdown twin · aquila alternatives · meilisearch alternatives
GraphCanon updated Sep 20, 2026
14views this month
Trust & integrity
| Signal | aquila | meilisearch |
|---|---|---|
| Maintenance | Dormant (864d since push) As of Sep 18, 2026 · github_public_v1 | Very active (2d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- aquila
- An easy-to-use Neural Search Engine for indexing latent vectors with JSON metadata and performing efficient k-NN search.
- meilisearch
- A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Stars
- aquila
- 379
- meilisearch
- 59k
Forks
- aquila
- 26
- meilisearch
- 2.7k
Open issues
- aquila
- 13
- meilisearch
- 308
Language
- aquila
- HTML
- meilisearch
- Rust
Adopt for
- aquila
- Aquila is a neural search engine that indexes latent vectors with JSON metadata, enabling efficient k-NN search operations.
- meilisearch
- Meilisearch is a Rust-based, lightning-fast hybrid search engine that integrates easily into web and mobile applications. It supports both full-text and vector searches.
Persona
- aquila
- -
- meilisearch
- -
Runtime
- aquila
- -
- meilisearch
- -
License
- aquila
- Aquila is licensed under the Apache License 2.0.
- meilisearch
- Other
Last pushed
- aquila
- May 6, 2024
- meilisearch
- Sep 17, 2026
Categories
- aquila
- Data & Retrieval, Vector Databases
- meilisearch
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- aquila
- Dormant (18%)
- meilisearch
- Very active (96%)
Days since push
- aquila
- 864d
- meilisearch
- 2d
Open issues (now)
- aquila
- 13
- meilisearch
- 308
Stars delta
- aquila
- 0 (30d)
- meilisearch
- +663 (30d)
Open issues delta
- aquila
- 0 (30d)
- meilisearch
- -11 (30d)
Full report
- aquila
- Trust report
- meilisearch
- Trust report
Choose aquila if…
- aquila is primarily HTML; meilisearch is Rust.
- Requirements: Requires Docker; Aquila requires Docker for deployment, with options for both lite and big data versions..
- Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors.
- When you need to perform efficient k-NN search operations on latent vectors with associated JSON metadata.
When NOT to use aquila
- If your project requires a specific license that is not Apache License 2.0, Aquila may not be suitable.
- If your application does not require indexing of latent vectors with JSON metadata, Aquila might be overkill.
- If you are looking for a solution that does not require Docker for deployment, Aquila might not be the best fit.
Choose meilisearch if…
- meilisearch is primarily Rust; aquila is HTML.
- Tags unique to meilisearch: ai, api, app-search, database.
- meilisearch ships Docker support for self-hosted deployment.
- - You require fast integration capabilities for your web or mobile application, as Meilisearch offers flexible deployment options.
When NOT to use meilisearch
- - When you specifically need language support for a large number of languages beyond what Meilisearch currently offers, as some specialized multilingual search engines might handle more languages nimb
- - If your application does not require real-time search-as-you-type or typo tolerance features which can add overhead and may slow down performance in less demanding scenarios.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Aquila-Network/aquila) · observed Sep 20, 2026
- GitHub forks (Aquila-Network/aquila) · observed Sep 20, 2026
- Last push (Aquila-Network/aquila) · observed May 6, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (meilisearch/meilisearch) · observed Sep 20, 2026
- GitHub forks (meilisearch/meilisearch) · observed Sep 20, 2026
- Last push (meilisearch/meilisearch) · observed Sep 17, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aquila 379 · meilisearch 59k (synced Sep 20, 2026).
Common questions
- What is the difference between aquila and meilisearch?
- aquila: An easy-to-use Neural Search Engine for indexing latent vectors with JSON metadata and performing efficient k-NN search.. meilisearch: A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.. See the comparison table for live GitHub stats and shared categories.
- When should I choose aquila over meilisearch?
- Choose aquila over meilisearch when aquila is primarily HTML; meilisearch is Rust; Requirements: Requires Docker; Aquila requires Docker for deployment, with options for both lite and big data versions.; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; When you need to perform efficient k-NN search operations on latent vectors with associated JSON metadata.
- When should I choose meilisearch over aquila?
- Choose meilisearch over aquila when meilisearch is primarily Rust; aquila is HTML; Tags unique to meilisearch: ai, api, app-search, database; meilisearch ships Docker support for self-hosted deployment; - You require fast integration capabilities for your web or mobile application, as Meilisearch offers flexible deployment options.
- When should I avoid aquila?
- If your project requires a specific license that is not Apache License 2.0, Aquila may not be suitable. If your application does not require indexing of latent vectors with JSON metadata, Aquila might be overkill. If you are looking for a solution that does not require Docker for deployment, Aquila might not be the best fit.
- When should I avoid meilisearch?
- - When you specifically need language support for a large number of languages beyond what Meilisearch currently offers, as some specialized multilingual search engines might handle more languages nimb - If your application does not require real-time search-as-you-type or typo tolerance features which can add overhead and may slow down performance in less demanding scenarios.
- Is aquila or meilisearch more popular on GitHub?
- meilisearch has more GitHub stars (59,345 vs 379). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and meilisearch open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or meilisearch?
- GraphCanon lists graph-backed alternatives at aquila alternatives and meilisearch alternatives (aquila markdown twin, meilisearch markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, aquila or meilisearch?
- aquila: Dormant. meilisearch: 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 aquila and meilisearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; meilisearch trust report.