Comparison
cherche vs deepseek-pp
Verdict
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; pick deepseek-pp if deepSeek Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills.
Markdown twin · cherche alternatives · deepseek-pp alternatives
GraphCanon updated Sep 20, 2026
5views this month
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Trust & integrity
| Signal | cherche | deepseek-pp |
|---|---|---|
| Maintenance | Dormant (840d since push) As of Sep 20, 2026 · github_public_v1 | Archived (37d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 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
- cherche
- Neural Search
- deepseek-pp
- AI agent workspace with tools for automation and interaction
Stars
- cherche
- 332
- deepseek-pp
- 1.9k
Forks
- cherche
- 14
- deepseek-pp
- 253
Open issues
- cherche
- 4
- deepseek-pp
- 30
Language
- cherche
- Python
- deepseek-pp
- TypeScript
Adopt for
- 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
- deepseek-pp
- DeepSeek Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills.
Persona
- cherche
- -
- deepseek-pp
- -
Runtime
- cherche
- -
- deepseek-pp
- -
License
- cherche
- MIT
- deepseek-pp
- Apache-2.0
Last pushed
- cherche
- Jun 1, 2024
- deepseek-pp
- Aug 13, 2026
Categories
- cherche
- Data & Retrieval
- deepseek-pp
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- cherche
- Dormant (18%)
- deepseek-pp
- Archived (8%)
Days since push
- cherche
- 840d
- deepseek-pp
- 37d
Archived on GitHub
- cherche
- No
- deepseek-pp
- Yes
Open issues (now)
- cherche
- 4
- deepseek-pp
- 30
Stars delta
- cherche
- 0 (30d)
- deepseek-pp
- +522 (30d)
Open issues delta
- cherche
- 0 (30d)
- deepseek-pp
- +25 (30d)
Full report
- cherche
- Trust report
- deepseek-pp
- Trust report
Choose cherche if…
- cherche is primarily Python; deepseek-pp is TypeScript.
- License: cherche is MIT, deepseek-pp is Apache-2.0.
- Tags unique to cherche: bm25, flashtext, information retrieval, machine-learning.
- 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.
Choose deepseek-pp if…
- deepseek-pp is primarily TypeScript; cherche is Python.
- License: deepseek-pp is Apache-2.0, cherche is MIT.
- Tags unique to deepseek-pp: agentic-ai, ai-agent, ai-memory, automation.
- Also covers AI Agents.
- Need a browser-based AI agent environment with MCP (Model Context Protocol) support
When NOT to use deepseek-pp
- Simpler use-cases that don’t require extensive tool integrations or complex memory features
- If you need custom extensions for browsers other than Chrome, Edge, or Firefox as supported by DeepSeek Web
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (zhu1090093659/deepseek-pp) · observed Sep 20, 2026
- GitHub forks (zhu1090093659/deepseek-pp) · observed Sep 20, 2026
- Last push (zhu1090093659/deepseek-pp) · observed Aug 13, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: cherche 332 · deepseek-pp 1.9k (synced Sep 20, 2026).
Common questions
- What is the difference between cherche and deepseek-pp?
- cherche: Neural Search. deepseek-pp: AI agent workspace with tools for automation and interaction. See the comparison table for live GitHub stats and shared categories.
- When should I choose cherche over deepseek-pp?
- Choose cherche over deepseek-pp when cherche is primarily Python; deepseek-pp is TypeScript; License: cherche is MIT, deepseek-pp is Apache-2.0; Tags unique to cherche: bm25, flashtext, information retrieval, machine-learning; 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 choose deepseek-pp over cherche?
- Choose deepseek-pp over cherche when deepseek-pp is primarily TypeScript; cherche is Python; License: deepseek-pp is Apache-2.0, cherche is MIT; Tags unique to deepseek-pp: agentic-ai, ai-agent, ai-memory, automation; Also covers AI Agents; Need a browser-based AI agent environment with MCP (Model Context Protocol) support.
- 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.
- When should I avoid deepseek-pp?
- Simpler use-cases that don’t require extensive tool integrations or complex memory features If you need custom extensions for browsers other than Chrome, Edge, or Firefox as supported by DeepSeek Web
- Is cherche or deepseek-pp more popular on GitHub?
- deepseek-pp has more GitHub stars (1,872 vs 332). Stars measure visibility, not whether either tool fits your constraints.
- Are cherche and deepseek-pp open source?
- Yes - both are open-source projects on GitHub (cherche: MIT, deepseek-pp: Apache-2.0).
- Where can I find alternatives to cherche or deepseek-pp?
- GraphCanon lists graph-backed alternatives at cherche alternatives and deepseek-pp alternatives (cherche markdown twin, deepseek-pp 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 deepseek-pp?
- cherche: Dormant. deepseek-pp: Archived. 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 deepseek-pp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cherche trust report; deepseek-pp trust report.