Comparison
aquila vs edit-mind
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 edit-mind if edit-mind offers a local-first approach to indexing video libraries with advanced computer vision techniques, allowing for semantic search through natural language queries.
Markdown twin · aquila alternatives · edit-mind alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | aquila | edit-mind |
|---|---|---|
| Maintenance | Dormant (817d since push) As of 3w · github_public_v1 | Steady (31d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Efficient Neural Search Engine
- edit-mind
- Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search
Stars
- aquila
- 379
- edit-mind
- 1.8k
Forks
- aquila
- 26
- edit-mind
- 121
Open issues
- aquila
- 13
- edit-mind
- 15
Language
- aquila
- HTML
- edit-mind
- TypeScript
Adopt for
- aquila
- Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches.
- edit-mind
- Edit-mind offers a local-first approach to indexing video libraries with advanced computer vision techniques, allowing for semantic search through natural language queries.
Persona
- aquila
- -
- edit-mind
- -
Runtime
- aquila
- -
- edit-mind
- -
License
- aquila
- -
- edit-mind
- Utilizes a specific license named the Edit Mind License, which is documented in the LICENSE.md file. Further details on this licensing must refer to the repository documentation.
Last pushed
- aquila
- May 6, 2024
- edit-mind
- Jun 30, 2026
Categories
- aquila
- Data & Retrieval, Vector Databases
- edit-mind
- Computer Vision, Data & Retrieval
Trust and health
Maintenance
- aquila
- Dormant (18%)
- edit-mind
- Steady (60%)
Days since push
- aquila
- 817d
- edit-mind
- 31d
Open issues (now)
- aquila
- 13
- edit-mind
- 15
Owner type
- aquila
- Organization
- edit-mind
- User
Full report
- aquila
- Trust report
- edit-mind
- Trust report
Choose aquila if…
- aquila is primarily HTML; edit-mind is TypeScript.
- Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors.
- Also covers Vector Databases.
- 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 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
Choose edit-mind if…
- edit-mind is primarily TypeScript; aquila is HTML.
- Requirements: Necessitates Docker for running all components within containers.; Needs manual configuration of Docker file sharing on macOS and Windows systems..
- Tags unique to edit-mind: ai, computer-vision, face-recognition, ml.
- Also covers Computer Vision.
- edit-mind ships Docker support for self-hosted deployment.
- The environment requires self-hosted operations without dependence on external servers or APIs.
When NOT to use edit-mind
- The use case requires cloud-based video services or collaborative tools across different locations which a self-hosted solution does not support.
- If integration with an existing third-party AI infrastructure is necessary, edit-mind might fall short due to its independence and lack of out-of-the-box integrations.
- This tool may not be suitable for users who prefer preconfigured solutions that do not require managing Docker environments or configuring media file sharing.
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 Aug 2, 2026
- GitHub forks (Aquila-Network/aquila) · observed Aug 2, 2026
- Last push (Aquila-Network/aquila) · observed May 6, 2024
- License file (unknown) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (IliasHad/edit-mind) · observed Jul 31, 2026
- GitHub forks (IliasHad/edit-mind) · observed Jul 31, 2026
- Last push (IliasHad/edit-mind) · observed Jun 30, 2026
- License file (Other) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aquila 379 · edit-mind 1.8k (synced Aug 2, 2026).
Common questions
- What is the difference between aquila and edit-mind?
- aquila: Efficient Neural Search Engine. edit-mind: Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search. See the comparison table for live GitHub stats and shared categories.
- When should I choose aquila over edit-mind?
- Choose aquila over edit-mind when aquila is primarily HTML; edit-mind is TypeScript; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; Also covers Vector Databases; 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 edit-mind over aquila?
- Choose edit-mind over aquila when edit-mind is primarily TypeScript; aquila is HTML; Requirements: Necessitates Docker for running all components within containers.; Needs manual configuration of Docker file sharing on macOS and Windows systems.; Tags unique to edit-mind: ai, computer-vision, face-recognition, ml; Also covers Computer Vision; edit-mind ships Docker support for self-hosted deployment; The environment requires self-hosted operations without dependence on external servers or APIs.
- 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 edit-mind?
- The use case requires cloud-based video services or collaborative tools across different locations which a self-hosted solution does not support. If integration with an existing third-party AI infrastructure is necessary, edit-mind might fall short due to its independence and lack of out-of-the-box integrations. This tool may not be suitable for users who prefer preconfigured solutions that do not require managing Docker environments or configuring media file sharing.
- Is aquila or edit-mind more popular on GitHub?
- edit-mind has more GitHub stars (1,764 vs 379). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and edit-mind open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or edit-mind?
- GraphCanon lists graph-backed alternatives at aquila alternatives and edit-mind alternatives (aquila markdown twin, edit-mind 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 edit-mind?
- aquila: Dormant. edit-mind: Steady. 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 edit-mind?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; edit-mind trust report.