Comparison
search_with_lepton vs llm-app
Verdict
Pick search_with_lepton if **search_with_lepton** is a TypeScript-based conversational search demo integrating Lepton AI's LLM and offering flexible backend options like Bing, Google SearchAPI, Serper, or Programmable Search Engine; pick llm-app if llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz.
Markdown twin · search_with_lepton alternatives · llm-app alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | search_with_lepton | llm-app |
|---|---|---|
| Maintenance | Archived (248d since push) As of 2w · github_public_v1 | Steady (41d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1w · 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
- search_with_lepton
- Building a quick conversation-based search demo with Lepton AI.
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Stars
- search_with_lepton
- 8.1k
- llm-app
- 59k
Forks
- search_with_lepton
- 998
- llm-app
- 1.5k
Open issues
- search_with_lepton
- 44
- llm-app
- 8
Language
- search_with_lepton
- TypeScript
- llm-app
- Jupyter Notebook
Adopt for
- search_with_lepton
- **search_with_lepton** is a TypeScript-based conversational search demo integrating Lepton AI's LLM and offering flexible backend options like Bing, Google SearchAPI, Serper, or Programmable Search Engine.
- llm-app
- llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz
Persona
- search_with_lepton
- -
- llm-app
- -
Runtime
- search_with_lepton
- -
- llm-app
- -
License
- search_with_lepton
- Apache-2.0 license, providing freedom to use, modify and distribute the software while requiring preservation of copyright notices.
- llm-app
- MIT
Last pushed
- search_with_lepton
- Dec 2, 2025
- llm-app
- Jul 5, 2026
Categories
- search_with_lepton
- Data & Retrieval, LLM Frameworks
- llm-app
- Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- search_with_lepton
- Archived (8%)
- llm-app
- Steady (60%)
Days since push
- search_with_lepton
- 248d
- llm-app
- 41d
Archived on GitHub
- search_with_lepton
- Yes
- llm-app
- No
Open issues (now)
- search_with_lepton
- 44
- llm-app
- 8
Stars delta
- search_with_lepton
- Unknown
- llm-app
- +11 (30d)
Open issues delta
- search_with_lepton
- Unknown
- llm-app
- -2 (30d)
Full report
- search_with_lepton
- Trust report
- llm-app
- Trust report
Choose search_with_lepton if…
- search_with_lepton is primarily TypeScript; llm-app is Jupyter Notebook.
- License: search_with_lepton is Apache-2.0, llm-app is MIT.
- Tags unique to search_with_lepton: ai-applications, bing-api, conversational-search, google-search.
- - When you need a quick prototype of a conversation-driven search engine leveraging Lepton AI.
When NOT to use search_with_lepton
- - Avoid if your project strictly requires only native integration with other LLMs besides Lepton AI as this tool is tightly coupled with it.
- - Not recommended if you aim to build a large-scale production system as the demo focuses on rapid development rather than high throughput or enterprise-level robustness.
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; search_with_lepton is TypeScript.
- License: llm-app is MIT, search_with_lepton is Apache-2.0.
- Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..
- Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation.
- Also covers Vector Databases.
- - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
When NOT to use llm-app
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app.
- - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (leptonai/search_with_lepton) · observed Aug 7, 2026
- GitHub forks (leptonai/search_with_lepton) · observed Aug 7, 2026
- Last push (leptonai/search_with_lepton) · observed Dec 2, 2025
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pathwaycom/llm-app) · observed Aug 16, 2026
- GitHub forks (pathwaycom/llm-app) · observed Aug 16, 2026
- Last push (pathwaycom/llm-app) · observed Jul 5, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: search_with_lepton 8.1k · llm-app 59k (synced Aug 7, 2026).
Common questions
- What is the difference between search_with_lepton and llm-app?
- search_with_lepton: Building a quick conversation-based search demo with Lepton AI.. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose search_with_lepton over llm-app?
- Choose search_with_lepton over llm-app when search_with_lepton is primarily TypeScript; llm-app is Jupyter Notebook; License: search_with_lepton is Apache-2.0, llm-app is MIT; Tags unique to search_with_lepton: ai-applications, bing-api, conversational-search, google-search; - When you need a quick prototype of a conversation-driven search engine leveraging Lepton AI.
- When should I choose llm-app over search_with_lepton?
- Choose llm-app over search_with_lepton when llm-app is primarily Jupyter Notebook; search_with_lepton is TypeScript; License: llm-app is MIT, search_with_lepton is Apache-2.0; Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation; Also covers Vector Databases; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
- When should I avoid search_with_lepton?
- - Avoid if your project strictly requires only native integration with other LLMs besides Lepton AI as this tool is tightly coupled with it. - Not recommended if you aim to build a large-scale production system as the demo focuses on rapid development rather than high throughput or enterprise-level robustness.
- When should I avoid llm-app?
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
- Is search_with_lepton or llm-app more popular on GitHub?
- llm-app has more GitHub stars (59,037 vs 8,081). Stars measure visibility, not whether either tool fits your constraints.
- Are search_with_lepton and llm-app open source?
- Yes - both are open-source projects on GitHub (search_with_lepton: Apache-2.0, llm-app: MIT).
- Where can I find alternatives to search_with_lepton or llm-app?
- GraphCanon lists graph-backed alternatives at search_with_lepton alternatives and llm-app alternatives (search_with_lepton markdown twin, llm-app 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, search_with_lepton or llm-app?
- search_with_lepton: Archived. llm-app: Steady. 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 search_with_lepton and llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: search_with_lepton trust report; llm-app trust report.