Home/Compare/entaoai vs llm-app

Comparison

entaoai vs llm-app

Verdict

Pick entaoai when entaoai is primarily TypeScript; llm-app is Jupyter Notebook; pick llm-app when llm-app is primarily Jupyter Notebook; entaoai is TypeScript.

Markdown twin · entaoai alternatives · llm-app alternatives

GraphCanon updated today

entaoai logo

entaoai

akshata29/entaoai

866pushed Jan 2, 2025
vs
llm-app logo

llm-app

pathwaycom/llm-app

59kpushed Jul 5, 2026

Trust & integrity

Signalentaoaillm-app
Maintenance
Dormant (554d since push)
As of 1d · github_public_v1
Very active (5d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of 1d · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none

Tagline

entaoai
Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions
llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.

Stars

entaoai
866
llm-app
59k

Forks

entaoai
245
llm-app
1.4k

Open issues

entaoai
12
llm-app
10

Language

entaoai
TypeScript
llm-app
Jupyter Notebook

Adopt for

entaoai
-
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

entaoai
-
llm-app
-

Runtime

entaoai
-
llm-app
-

License

entaoai
MIT
llm-app
MIT

Last pushed

entaoai
Jan 2, 2025
llm-app
Jul 5, 2026

Categories

entaoai
LLM Frameworks, Vector Databases
llm-app
Data & Retrieval, LLM Frameworks, Vector Databases

Trust and health

Maintenance

entaoai
Dormant (18%)
llm-app
Very active (96%)

Days since push

entaoai
554d
llm-app
5d

Open issues (now)

entaoai
12
llm-app
10

Owner type

entaoai
User
llm-app
Organization

Full report

Choose entaoai if…

  • entaoai is primarily TypeScript; llm-app is Jupyter Notebook.
  • Tags unique to entaoai: azure, azure-functions, azure-openai, azure-webapp.

When NOT to use entaoai

  • Last GitHub push was 555 days ago (dormant maintenance, Jan 2, 2025). Validate activity before betting a new project on entaoai.
  • 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.

Choose llm-app if…

  • llm-app is primarily Jupyter Notebook; entaoai is TypeScript.
  • 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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: entaoai 866 · llm-app 59k (synced Jul 11, 2026).

Common questions

What is the difference between entaoai and llm-app?
entaoai: Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions. 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 entaoai over llm-app?
Choose entaoai over llm-app when entaoai is primarily TypeScript; llm-app is Jupyter Notebook; Tags unique to entaoai: azure, azure-functions, azure-openai, azure-webapp.
When should I choose llm-app over entaoai?
Choose llm-app over entaoai when llm-app is primarily Jupyter Notebook; entaoai is TypeScript; 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 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 avoid entaoai?
Last GitHub push was 555 days ago (dormant maintenance, Jan 2, 2025). Validate activity before betting a new project on entaoai. 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.
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 entaoai or llm-app more popular on GitHub?
llm-app has more GitHub stars (59,068 vs 866). Stars measure visibility, not whether either tool fits your constraints.
Are entaoai and llm-app open source?
Yes - both are open-source projects on GitHub (entaoai: MIT, llm-app: MIT).
Where can I find alternatives to entaoai or llm-app?
GraphCanon lists graph-backed alternatives at entaoai alternatives and llm-app alternatives (entaoai 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, entaoai or llm-app?
entaoai: Dormant. llm-app: Very active. 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 entaoai and llm-app?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: entaoai trust report; llm-app trust report.