Comparison
orama vs cherche
Verdict
Pick orama if orama is a compact (<2kb) full-text, vector, and hybrid search engine supporting RAG pipelines that can be deployed in browsers, servers, or edge networks; pick cherche if cherche is a Python library for implementing neural search capabilities.
Markdown twin · orama alternatives · cherche alternatives
GraphCanon updated 4w
Trust & integrity
| Signal | orama | cherche |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1mo · github_public_v1 | Dormant (782d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1mo · github_public_v1 | Not a fork · Personal account As of 4w · 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
- orama
- A complete search engine and RAG pipeline with support for full-text, vector, and hybrid search.
- cherche
- Neural Search
Stars
- orama
- 10k
- cherche
- 332
Forks
- orama
- 398
- cherche
- 14
Open issues
- orama
- 18
- cherche
- 4
Language
- orama
- TypeScript
- cherche
- Python
Adopt for
- orama
- Orama is a compact (<2kb) full-text, vector, and hybrid search engine supporting RAG pipelines that can be deployed in browsers, servers, or edge networks.
- cherche
- Cherche is a Python library for implementing neural search capabilities.
Persona
- orama
- -
- cherche
- -
Runtime
- orama
- -
- cherche
- -
License
- orama
- Other
- cherche
- MIT
Last pushed
- orama
- Jul 21, 2026
- cherche
- Jun 1, 2024
Categories
- orama
- Data & Retrieval, Vector Databases
- cherche
- Data & Retrieval, Evaluation & Observability, Vector Databases
Trust and health
Maintenance
- orama
- Very active (96%)
- cherche
- Dormant (18%)
Days since push
- orama
- 0d
- cherche
- 782d
Open issues (now)
- orama
- 18
- cherche
- 4
Owner type
- orama
- Organization
- cherche
- User
Full report
- orama
- Trust report
- cherche
- Trust report
Choose orama if…
- orama is primarily TypeScript; cherche is Python.
- License: orama is Other, cherche is MIT.
- Tags unique to orama: full-text, hybrid-search, search-engine, vector-database-embedding.
- - When you need a lightweight (~2kb) solution for integrating robust search capabilities into web applications.
When NOT to use orama
- - If your project demands high-throughput and low-latency text search in large document sets, as others may offer more optimized backend solutions.
- - For situations requiring scalability to handle very large datasets; Orama's compact nature might restrict its performance with extensive data.
- - In instances where a rich set of administrative tools or built-in storage solutions are necessary, as Orama focuses on lightweight search functionality.
Choose cherche if…
- cherche is primarily Python; orama is TypeScript.
- License: cherche is MIT, orama is Other.
- Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning.
- Also covers Evaluation & Observability.
- Cherche is a Python library for implementing neural search capabilities.
When NOT to use cherche
- Last GitHub push was 810 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 (oramasearch/orama) · observed Jul 21, 2026
- GitHub forks (oramasearch/orama) · observed Jul 21, 2026
- Last push (oramasearch/orama) · observed Jul 21, 2026
- License file (Other) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (raphaelsty/cherche) · observed Jul 24, 2026
- GitHub forks (raphaelsty/cherche) · observed Jul 24, 2026
- Last push (raphaelsty/cherche) · observed Jun 1, 2024
- License file (MIT) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: orama 10k · cherche 332 (synced Jul 21, 2026).
Common questions
- What is the difference between orama and cherche?
- orama: A complete search engine and RAG pipeline with support for full-text, vector, and hybrid search.. cherche: Neural Search. See the comparison table for live GitHub stats and shared categories.
- When should I choose orama over cherche?
- Choose orama over cherche when orama is primarily TypeScript; cherche is Python; License: orama is Other, cherche is MIT; Tags unique to orama: full-text, hybrid-search, search-engine, vector-database-embedding; - When you need a lightweight (~2kb) solution for integrating robust search capabilities into web applications.
- When should I choose cherche over orama?
- Choose cherche over orama when cherche is primarily Python; orama is TypeScript; License: cherche is MIT, orama is Other; Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning; Also covers Evaluation & Observability; Cherche is a Python library for implementing neural search capabilities.
- When should I avoid orama?
- - If your project demands high-throughput and low-latency text search in large document sets, as others may offer more optimized backend solutions. - For situations requiring scalability to handle very large datasets; Orama's compact nature might restrict its performance with extensive data. - In instances where a rich set of administrative tools or built-in storage solutions are necessary, as Orama focuses on lightweight search functionality.
- When should I avoid cherche?
- Last GitHub push was 810 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 orama or cherche more popular on GitHub?
- orama has more GitHub stars (10,497 vs 332). Stars measure visibility, not whether either tool fits your constraints.
- Are orama and cherche open source?
- Yes - both are open-source projects on GitHub (orama: Other, cherche: MIT).
- Where can I find alternatives to orama or cherche?
- GraphCanon lists graph-backed alternatives at orama alternatives and cherche alternatives (orama 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, orama or cherche?
- orama: Very active. 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 orama and cherche?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: orama trust report; cherche trust report.