---
title: "aquila vs hora"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/aquila-network-aquila-vs-hora-search-hora"
tools: ["aquila-network-aquila", "hora-search-hora"]
---

# aquila vs hora

*GraphCanon updated Aug 23, 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 hora if hora is a Rust-based library for high-performance approximate nearest neighbor search algorithms critical in applications such as image and recommender systems where speed and efficiency are paramount.

[aquila](https://aquila.network) reports 379 GitHub stars, 26 forks, and 13 open issues, last pushed May 6, 2024. [hora](http://horasearch.com/) has 2.7k stars, 77 forks, and 26 open issues, last pushed Feb 17, 2026. Figures are from public GitHub metadata via [aquila's repository](https://github.com/Aquila-Network/aquila) and [hora's repository](https://github.com/hora-search/hora).

| | [aquila](/tools/aquila-network-aquila.md) | [hora](/tools/hora-search-hora.md) |
| --- | --- | --- |
| Tagline | Efficient Neural Search Engine | efficient approximate nearest neighbor search algorithm collections library written in Rust |
| Stars | 379 | 2,659 |
| Forks | 26 | 77 |
| Open issues | 13 | 26 |
| Language | HTML | Rust |
| Adopt for | Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. | Hora is a Rust-based library for high-performance approximate nearest neighbor search algorithms critical in applications such as image and recommender systems where speed and efficiency are paramount. |
| 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) | [hora](/tools/hora-search-hora.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Slowing (36%) |
| Days since push | 817d | 186d |
| Open issues (now) | 13 | 26 |
| Stars delta | Unknown | -4 (30d) |
| Open issues delta | Unknown | 0 (30d) |
| Full report | [trust report](/tools/aquila-network-aquila/trust.md) | [trust report](/tools/hora-search-hora/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: hora

- **Adopt for:** Hora is a Rust-based library for high-performance approximate nearest neighbor search algorithms critical in applications such as image and recommender systems where speed and efficiency are paramount.

## Choose when

### Choose aquila if…

- aquila is primarily HTML; hora is Rust.
- Tags unique to aquila: embedding, faiss, feature-vectors, information-retrieval.
- 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 hora if…

- hora is primarily Rust; aquila is HTML.
- Tags unique to hora: algorithm, artificial-intelligence, data-structures, high-performance.
- When you require a high-speed library written in Rust to implement an efficient similarity-search 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 hora

- If your project is restricted to languages other than Rust and you cannot work with Rust bindings or require a more general-purpose vector database library
- When exact nearest neighbor search accuracy is preferred over the speed provided by approximate algorithms, as Hora specializes in sacrificing minimal precision for significant performance gains

## Common questions

### What is the difference between aquila and hora?

aquila: Efficient Neural Search Engine. hora: efficient approximate nearest neighbor search algorithm collections library written in Rust. See the comparison table for live GitHub stats and shared categories.

### When should I choose aquila over hora?

Choose aquila over hora when aquila is primarily HTML; hora is Rust; Tags unique to aquila: embedding, faiss, feature-vectors, information-retrieval; 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 hora over aquila?

Choose hora over aquila when hora is primarily Rust; aquila is HTML; Tags unique to hora: algorithm, artificial-intelligence, data-structures, high-performance; When you require a high-speed library written in Rust to implement an efficient similarity-search 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 hora?

If your project is restricted to languages other than Rust and you cannot work with Rust bindings or require a more general-purpose vector database library When exact nearest neighbor search accuracy is preferred over the speed provided by approximate algorithms, as Hora specializes in sacrificing minimal precision for significant performance gains

### Is aquila or hora more popular on GitHub?

hora has more GitHub stars (2,659 vs 379). Stars measure visibility, not whether either tool fits your constraints.

### Are aquila and hora open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to aquila or hora?

GraphCanon lists graph-backed alternatives at [aquila alternatives](/tools/aquila-network-aquila/alternatives) and [hora alternatives](/tools/hora-search-hora/alternatives) ([aquila markdown twin](/tools/aquila-network-aquila/alternatives.md), [hora markdown twin](/tools/hora-search-hora/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-hora-search-hora.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, aquila or hora?

aquila: Dormant. hora: Slowing. 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 hora?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aquila trust report](/tools/aquila-network-aquila/trust); [hora trust report](/tools/hora-search-hora/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/_
