Home/Compare/cherche vs typesense

Comparison

cherche vs typesense

Verdict

Pick cherche if cherche is a Python library for implementing neural search capabilities; pick typesense if typesense is an open-source and type-tolerant fuzzy search engine written in C++, primarily suitable for applications requiring speedy search responses with high tolerance to typos.

Markdown twin · cherche alternatives · typesense alternatives

GraphCanon updated 2d

cherche logo

cherche

raphaelsty/cherche

332pushed Jun 1, 2024
vs
typesense logo

typesense

typesense/typesense

26kpushed Aug 18, 2026

Trust & integrity

Signalcherchetypesense
Maintenance
Dormant (812d since push)
As of 2d · github_public_v1
Very active (4d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Personal account
As of 2d · github_public_v1
Not a fork · Organization account
As of 3d · 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

cherche
Neural Search
typesense
Fast, typo tolerant, in-memory fuzzy Search Engine

Stars

cherche
332
typesense
26k

Forks

cherche
14
typesense
963

Open issues

cherche
4
typesense
872

Language

cherche
Python
typesense
C++

Adopt for

cherche
Cherche is a Python library for implementing neural search capabilities.
typesense
Typesense is an open-source and type-tolerant fuzzy search engine written in C++, primarily suitable for applications requiring speedy search responses with high tolerance to typos.

Persona

cherche
-
typesense
-

Runtime

cherche
-
typesense
-

License

cherche
MIT
typesense
GPL-3.0 License ensures typesense is free to use, modify and distribute as long as those changes are made available under the same licensing terms.

Last pushed

cherche
Jun 1, 2024
typesense
Aug 18, 2026

Categories

cherche
Data & Retrieval, Evaluation & Observability, Vector Databases
typesense
Data & Retrieval

Trust and health

Maintenance

cherche
Dormant (18%)
typesense
Very active (96%)

Days since push

cherche
812d
typesense
4d

Open issues (now)

cherche
4
typesense
872

Stars delta

cherche
0 (30d)
typesense
+128 (30d)

Open issues delta

cherche
0 (30d)
typesense
+20 (30d)

Owner type

cherche
User
typesense
Organization

Full report

typesense
Trust report

Shared compatibility

  • Python · cherche: Python runtime · typesense: Python runtime

Choose cherche if…

  • cherche is primarily Python; typesense is C++.
  • License: cherche is MIT, typesense is GPL-3.0.
  • 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.

Choose typesense if…

  • typesense is primarily C++; cherche is Python.
  • License: typesense is GPL-3.0, cherche is MIT.
  • Self-hosting on-premises or in-cloud environments, enabling full control over data and infrastructure.
  • Tags unique to typesense: algolia, datastore, elastic-search, faceting.
  • When seeking a drop-in replacement or alternative for Algolia, especially if considering an open-source solution.

When NOT to use typesense

  • If the project is working with a smaller dataset where setting up an additional service could be overkill and simplicity outweighs high performance.
  • When the team prefers not to use GPL-3.0 licensed software, as this may pose limitations or requirements on how the code can be used or distributed.
  • In projects requiring complex vector search functionalities that might need more than what Typesense offers in its current feature set.

Explore

Sources

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

GitHub stars on cards: cherche 332 · typesense 26k (synced Aug 23, 2026).

Common questions

What is the difference between cherche and typesense?
cherche: Neural Search. typesense: Fast, typo tolerant, in-memory fuzzy Search Engine. See the comparison table for live GitHub stats and shared categories.
When should I choose cherche over typesense?
Choose cherche over typesense when cherche is primarily Python; typesense is C++; License: cherche is MIT, typesense is GPL-3.0; 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 choose typesense over cherche?
Choose typesense over cherche when typesense is primarily C++; cherche is Python; License: typesense is GPL-3.0, cherche is MIT; Self-hosting on-premises or in-cloud environments, enabling full control over data and infrastructure; Tags unique to typesense: algolia, datastore, elastic-search, faceting; When seeking a drop-in replacement or alternative for Algolia, especially if considering an open-source solution.
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.
When should I avoid typesense?
If the project is working with a smaller dataset where setting up an additional service could be overkill and simplicity outweighs high performance. When the team prefers not to use GPL-3.0 licensed software, as this may pose limitations or requirements on how the code can be used or distributed. In projects requiring complex vector search functionalities that might need more than what Typesense offers in its current feature set.
Is cherche or typesense more popular on GitHub?
typesense has more GitHub stars (26,475 vs 332). Stars measure visibility, not whether either tool fits your constraints.
Are cherche and typesense open source?
Yes - both are open-source projects on GitHub (cherche: MIT, typesense: GPL-3.0).
Where can I find alternatives to cherche or typesense?
GraphCanon lists graph-backed alternatives at cherche alternatives and typesense alternatives (cherche markdown twin, typesense 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, cherche or typesense?
cherche: Dormant. typesense: Very active. 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 cherche and typesense?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cherche trust report; typesense trust report.

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