Home/Compare/edit-mind vs cherche

Comparison

edit-mind vs cherche

Verdict

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; pick cherche if cherche is a Python library for implementing neural search capabilities.

Markdown twin · edit-mind alternatives · cherche alternatives

GraphCanon updated 2d

edit-mind logo

edit-mind

IliasHad/edit-mind

1.8kpushed Jun 30, 2026
vs
cherche logo

cherche

raphaelsty/cherche

332pushed Jun 1, 2024

Trust & integrity

Signaledit-mindcherche
Maintenance
Steady (31d since push)
As of 3w · github_public_v1
Dormant (812d since push)
As of 2d · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Personal account
As of 2d · 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

edit-mind
Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search
cherche
Neural Search

Stars

edit-mind
1.8k
cherche
332

Forks

edit-mind
121
cherche
14

Open issues

edit-mind
15
cherche
4

Language

edit-mind
TypeScript
cherche
Python

Adopt for

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.
cherche
Cherche is a Python library for implementing neural search capabilities.

Persona

edit-mind
-
cherche
-

Runtime

edit-mind
-
cherche
-

License

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.
cherche
MIT

Last pushed

edit-mind
Jun 30, 2026
cherche
Jun 1, 2024

Categories

edit-mind
Computer Vision, Data & Retrieval
cherche
Data & Retrieval, Evaluation & Observability, Vector Databases

Trust and health

Maintenance

edit-mind
Steady (60%)
cherche
Dormant (18%)

Days since push

edit-mind
31d
cherche
812d

Open issues (now)

edit-mind
15
cherche
4

Stars delta

edit-mind
Unknown
cherche
0 (30d)

Open issues delta

edit-mind
Unknown
cherche
0 (30d)

Full report

edit-mind
Trust report

Choose edit-mind if…

  • edit-mind is primarily TypeScript; cherche is Python.
  • License: edit-mind is Other, cherche is MIT.
  • 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.

Choose cherche if…

  • cherche is primarily Python; edit-mind is TypeScript.
  • License: cherche is MIT, edit-mind is Other.
  • Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning.
  • Also covers Evaluation & Observability, Vector Databases.
  • Cherche is a Python library for implementing neural search capabilities.

When NOT to use cherche

  • Last GitHub push was 815 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: edit-mind 1.8k · cherche 332 (synced Jul 31, 2026).

Common questions

What is the difference between edit-mind and cherche?
edit-mind: Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search. cherche: Neural Search. See the comparison table for live GitHub stats and shared categories.
When should I choose edit-mind over cherche?
Choose edit-mind over cherche when edit-mind is primarily TypeScript; cherche is Python; License: edit-mind is Other, cherche is MIT; 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 choose cherche over edit-mind?
Choose cherche over edit-mind when cherche is primarily Python; edit-mind is TypeScript; License: cherche is MIT, edit-mind is Other; Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning; Also covers Evaluation & Observability, Vector Databases; Cherche is a Python library for implementing neural search capabilities.
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.
When should I avoid cherche?
Last GitHub push was 815 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Is edit-mind or cherche more popular on GitHub?
edit-mind has more GitHub stars (1,764 vs 332). Stars measure visibility, not whether either tool fits your constraints.
Are edit-mind and cherche open source?
Yes - both are open-source projects on GitHub (edit-mind: Other, cherche: MIT).
Where can I find alternatives to edit-mind or cherche?
GraphCanon lists graph-backed alternatives at edit-mind alternatives and cherche alternatives (edit-mind markdown twin, cherche 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, edit-mind or cherche?
edit-mind: Steady. cherche: 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 edit-mind and cherche?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: edit-mind trust report; cherche trust report.

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