Home/Compare/llm-app vs GPTCache

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

llm-app logo

llm-app

pathwaycom/llm-app

59kpushed Jul 5, 2026
vs
GPTCache logo

GPTCache

zilliztech/GPTCache

8.1kpushed Jul 11, 2025

Trust & integrity

Signalllm-appGPTCache
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

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 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.