Comparison
llm-app vs GPTCache
Verdict
Pick llm-app when llm-app is primarily Jupyter Notebook; GPTCache is Python; pick GPTCache when gPTCache is primarily Python; llm-app is Jupyter Notebook.
Markdown twin · llm-app alternatives · GPTCache alternatives
GraphCanon updated today
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Trust & integrity
| Signal | llm-app | GPTCache |
|---|---|---|
| Maintenance | Very active (5d since push) As of today · github_public_v1 | Dormant (365d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No criticals As of today · osv@v1 |
Tagline
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
- GPTCache
- Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Stars
- llm-app
- 59k
- GPTCache
- 8.1k
Forks
- llm-app
- 1.4k
- GPTCache
- 583
Open issues
- llm-app
- 10
- GPTCache
- 91
Language
- llm-app
- Jupyter Notebook
- GPTCache
- Python
Adopt for
- 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
- GPTCache
- -
Persona
- llm-app
- -
- GPTCache
- -
Runtime
- llm-app
- -
- GPTCache
- -
License
- llm-app
- MIT
- GPTCache
- MIT
Last pushed
- llm-app
- Jul 5, 2026
- GPTCache
- Jul 11, 2025
Categories
- llm-app
- Data & Retrieval, LLM Frameworks, Vector Databases
- GPTCache
- LLM Frameworks, Vector Databases
Trust and health
Maintenance
- llm-app
- Very active (96%)
- GPTCache
- Dormant (18%)
Days since push
- llm-app
- 5d
- GPTCache
- 365d
Open issues (now)
- llm-app
- 10
- GPTCache
- 91
Security scan
- llm-app
- No lockfile
- GPTCache
- No criticals
Full report
- llm-app
- Trust report
- GPTCache
- Trust report
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; GPTCache is Python.
- 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: hugging-face, llm, retrieval-augmented-generation, vector-database.
- Also covers Data & Retrieval.
- - 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.
Choose GPTCache if…
- GPTCache is primarily Python; llm-app is Jupyter Notebook.
- Tags unique to GPTCache: aigc, autogpt, babyagi, chatgpt.
When NOT to use GPTCache
- Last GitHub push was 366 days ago (dormant maintenance, Jul 11, 2025). Validate activity before betting a new project on GPTCache.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 (pathwaycom/llm-app) · observed Jul 11, 2026
- GitHub forks (pathwaycom/llm-app) · observed Jul 11, 2026
- Last push (pathwaycom/llm-app) · observed Jul 5, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zilliztech/GPTCache) · observed Jul 11, 2026
- GitHub forks (zilliztech/GPTCache) · observed Jul 11, 2026
- Last push (zilliztech/GPTCache) · observed Jul 11, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llm-app 59k · GPTCache 8.1k (synced Jul 11, 2026).
Common questions
- What is the difference between llm-app and GPTCache?
- llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. GPTCache: Semantic cache for LLMs. Fully integrated with LangChain and llama_index.. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm-app over GPTCache?
- Choose llm-app over GPTCache when llm-app is primarily Jupyter Notebook; GPTCache is Python; 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: hugging-face, llm, retrieval-augmented-generation, vector-database; Also covers Data & Retrieval; - 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 choose GPTCache over llm-app?
- Choose GPTCache over llm-app when GPTCache is primarily Python; llm-app is Jupyter Notebook; Tags unique to GPTCache: aigc, autogpt, babyagi, chatgpt.
- 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.
- When should I avoid GPTCache?
- Last GitHub push was 366 days ago (dormant maintenance, Jul 11, 2025). Validate activity before betting a new project on GPTCache. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is llm-app or GPTCache more popular on GitHub?
- llm-app has more GitHub stars (59,068 vs 8,094). Stars measure visibility, not whether either tool fits your constraints.
- Are llm-app and GPTCache open source?
- Yes - both are open-source projects on GitHub (llm-app: MIT, GPTCache: MIT).
- Where can I find alternatives to llm-app or GPTCache?
- GraphCanon lists graph-backed alternatives at llm-app alternatives and GPTCache alternatives (llm-app markdown twin, GPTCache 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, llm-app or GPTCache?
- llm-app: Very active. GPTCache: 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 llm-app and GPTCache?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-app trust report; GPTCache trust report.