Comparison
awesome-ai-web-search vs cherche
Verdict
Pick awesome-ai-web-search if a curated HTML list of AI-powered web search tools under CC0-1.0 license; pick cherche if cherche is a Python library for neural search and information retrieval tasks, supporting both simple and semantic retrievers. It is ideal for projects needing robust search functionalities enhanced with neural-based and.
Markdown twin · awesome-ai-web-search alternatives · cherche alternatives
GraphCanon updated Sep 20, 2026
12views this month
vs
Trust & integrity
| Signal | awesome-ai-web-search | cherche |
|---|---|---|
| Maintenance | Active (10d since push) As of Sep 19, 2026 · github_public_v1 | Dormant (840d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 19, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- awesome-ai-web-search
- List of AI-assisted web search software
- cherche
- Neural Search
Stars
- awesome-ai-web-search
- 1.4k
- cherche
- 332
Forks
- awesome-ai-web-search
- 129
- cherche
- 14
Open issues
- awesome-ai-web-search
- 0
- cherche
- 4
Language
- awesome-ai-web-search
- HTML
- cherche
- Python
Adopt for
- awesome-ai-web-search
- A curated HTML list of AI-powered web search tools under CC0-1.0 license.
- cherche
- Cherche is a Python library for neural search and information retrieval tasks, supporting both simple and semantic retrievers. It is ideal for projects needing robust search functionalities enhanced with neural-based and
Persona
- awesome-ai-web-search
- -
- cherche
- -
Runtime
- awesome-ai-web-search
- -
- cherche
- -
License
- awesome-ai-web-search
- CC0-1.0
- cherche
- MIT
Last pushed
- awesome-ai-web-search
- Sep 9, 2026
- cherche
- Jun 1, 2024
Categories
- awesome-ai-web-search
- Data & Retrieval, Evaluation & Observability
- cherche
- Data & Retrieval
Trust and health
Maintenance
- awesome-ai-web-search
- Active (82%)
- cherche
- Dormant (18%)
Days since push
- awesome-ai-web-search
- 10d
- cherche
- 840d
Open issues (now)
- awesome-ai-web-search
- 0
- cherche
- 4
Stars delta
- awesome-ai-web-search
- +55 (30d)
- cherche
- 0 (30d)
Full report
- awesome-ai-web-search
- Trust report
- cherche
- Trust report
Choose awesome-ai-web-search if…
- awesome-ai-web-search is primarily HTML; cherche is Python.
- License: awesome-ai-web-search is CC0-1.0, cherche is MIT.
- Tags unique to awesome-ai-web-search: ai-search-engine, metasearch, question-answering, rag.
- Also covers Evaluation & Observability.
- Need a comprehensive overview of AI-assisted web search options without code integration
When NOT to use awesome-ai-web-search
- Requiring direct API access or integrations with specific AI search tools
- Looking for a live, interactive AI web search service rather than a resource listing
- Need tool evaluations or comparative analysis instead of just project listings
Choose cherche if…
- cherche is primarily Python; awesome-ai-web-search is HTML.
- License: cherche is MIT, awesome-ai-web-search is CC0-1.0.
- Tags unique to cherche: bm25, flashtext, machine-learning, natural language processing.
- Use Cherche when you need to implement neural search functionalities that go beyond traditional keyword matching. It is suitable for projects that require a deep understanding of the semantic meaning,
When NOT to use cherche
- Avoid Cherche if your project has strict limitations on external dependencies or if the project's scope is limited to basic keyword search capabilities only, as it includes both simple and advanced
- Cherche may not be the best option if your project prioritizes using a specific technology stack, such as a particular framework for machine learning, that the library does not well integrate with
- If your project strictly avoids using libraries licensed under the MIT license, you should consider other options. Cherche's MIT license might not align with the licensing requirements of other
- Do not use Cherche for projects that have explicit requirements for operating environments that are not supported by Cherche, such as specific versions of Python or operating systems.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (felladrin/awesome-ai-web-search) · observed Sep 20, 2026
- GitHub forks (felladrin/awesome-ai-web-search) · observed Sep 20, 2026
- Last push (felladrin/awesome-ai-web-search) · observed Sep 9, 2026
- License file (CC0-1.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (raphaelsty/cherche) · observed Sep 20, 2026
- GitHub forks (raphaelsty/cherche) · observed Sep 20, 2026
- Last push (raphaelsty/cherche) · observed Jun 1, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 8, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-ai-web-search 1.4k · cherche 332 (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-ai-web-search and cherche?
- awesome-ai-web-search: List of AI-assisted web search software. cherche: Neural Search. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-web-search over cherche?
- Choose awesome-ai-web-search over cherche when awesome-ai-web-search is primarily HTML; cherche is Python; License: awesome-ai-web-search is CC0-1.0, cherche is MIT; Tags unique to awesome-ai-web-search: ai-search-engine, metasearch, question-answering, rag; Also covers Evaluation & Observability; Need a comprehensive overview of AI-assisted web search options without code integration.
- When should I choose cherche over awesome-ai-web-search?
- Choose cherche over awesome-ai-web-search when cherche is primarily Python; awesome-ai-web-search is HTML; License: cherche is MIT, awesome-ai-web-search is CC0-1.0; Tags unique to cherche: bm25, flashtext, machine-learning, natural language processing; Use Cherche when you need to implement neural search functionalities that go beyond traditional keyword matching. It is suitable for projects that require a deep understanding of the semantic meaning,.
- When should I avoid awesome-ai-web-search?
- Requiring direct API access or integrations with specific AI search tools Looking for a live, interactive AI web search service rather than a resource listing Need tool evaluations or comparative analysis instead of just project listings
- When should I avoid cherche?
- Avoid Cherche if your project has strict limitations on external dependencies or if the project's scope is limited to basic keyword search capabilities only, as it includes both simple and advanced Cherche may not be the best option if your project prioritizes using a specific technology stack, such as a particular framework for machine learning, that the library does not well integrate with If your project strictly avoids using libraries licensed under the MIT license, you should consider other options. Cherche's MIT license might not align with the licensing requirements of other Do not use Cherche for projects that have explicit requirements for operating environments that are not supported by Cherche, such as specific versions of Python or operating systems.
- Is awesome-ai-web-search or cherche more popular on GitHub?
- awesome-ai-web-search has more GitHub stars (1,446 vs 332). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-web-search and cherche open source?
- Yes - both are open-source projects on GitHub (awesome-ai-web-search: CC0-1.0, cherche: MIT).
- Where can I find alternatives to awesome-ai-web-search or cherche?
- GraphCanon lists graph-backed alternatives at awesome-ai-web-search alternatives and cherche alternatives (awesome-ai-web-search 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, awesome-ai-web-search or cherche?
- awesome-ai-web-search: 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 awesome-ai-web-search and cherche?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-web-search trust report; cherche trust report.