--- title: "edit-mind vs cherche" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/iliashad-edit-mind-vs-raphaelsty-cherche" tools: ["iliashad-edit-mind", "raphaelsty-cherche"] --- # edit-mind vs cherche *GraphCanon updated Aug 23, 2026* ## 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. [edit-mind](https://edit-mind.com) reports 1.8k GitHub stars, 121 forks, and 15 open issues, last pushed Jun 30, 2026. [cherche](https://github.com/raphaelsty/cherche) has 332 stars, 14 forks, and 4 open issues, last pushed Jun 1, 2024. Figures are from public GitHub metadata via [edit-mind's repository](https://github.com/IliasHad/edit-mind) and [cherche's repository](https://github.com/raphaelsty/cherche). | | [edit-mind](/tools/iliashad-edit-mind.md) | [cherche](/tools/raphaelsty-cherche.md) | | --- | --- | --- | | Tagline | Local-first Video Knowledge Base with multi-modal analysis for video indexing and semantic search | Neural Search | | Stars | 1,764 | 332 | | Forks | 121 | 14 | | Open issues | 15 | 4 | | Language | TypeScript | Python | | Adopt for | 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 is a Python library for implementing neural search capabilities. | | Persona | - | - | | Runtime | - | - | | License | 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. | MIT | | Categories | Computer Vision, Data & Retrieval | Data & Retrieval, Evaluation & Observability, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [edit-mind](/tools/iliashad-edit-mind.md) | [cherche](/tools/raphaelsty-cherche.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 31d | 812d | | Open issues (now) | 15 | 4 | | Stars delta | Unknown | 0 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/iliashad-edit-mind/trust.md) | [trust report](/tools/raphaelsty-cherche/trust.md) | ## Decision facts: edit-mind - **Requirements:** Necessitates Docker for running all components within containers.; Needs manual configuration of Docker file sharing on macOS and Windows systems. - **Adopt for:** Edit-mind offers a local-first approach to indexing video libraries with advanced computer vision techniques, allowing for semantic search through natural language queries. - **License detail:** 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. ## Decision facts: cherche - **Adopt for:** Cherche is a Python library for implementing neural search capabilities. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/iliashad-edit-mind/alternatives) and [cherche alternatives](/tools/raphaelsty-cherche/alternatives) ([edit-mind markdown twin](/tools/iliashad-edit-mind/alternatives.md), [cherche markdown twin](/tools/raphaelsty-cherche/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/iliashad-edit-mind-vs-raphaelsty-cherche.md) 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](/tools/iliashad-edit-mind/trust); [cherche trust report](/tools/raphaelsty-cherche/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=iliashad-edit-mind`](/api/graphcanon/graph?tool=iliashad-edit-mind) - 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/_