Comparison
Dot vs llm-app
Verdict
Pick Dot when dot is primarily JavaScript; llm-app is Jupyter Notebook; pick llm-app when llm-app is primarily Jupyter Notebook; Dot is JavaScript.
Markdown twin · Dot alternatives · llm-app alternatives
GraphCanon updated today
Trust & integrity
| Signal | Dot | llm-app |
|---|---|---|
| Maintenance | Dormant (578d since push) As of today · github_public_v1 | Very active (5d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal 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 lockfile As of today · none |
Tagline
- Dot
- Text-To-Speech, RAG, and LLMs. All local!
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Stars
- Dot
- 1.9k
- llm-app
- 59k
Forks
- Dot
- 111
- llm-app
- 1.4k
Open issues
- Dot
- 14
- llm-app
- 10
Language
- Dot
- JavaScript
- llm-app
- Jupyter Notebook
Adopt for
- Dot
- -
- 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
- Dot
- -
- llm-app
- -
Runtime
- Dot
- -
- llm-app
- -
License
- Dot
- GPL-3.0
- llm-app
- MIT
Last pushed
- Dot
- Dec 9, 2024
- llm-app
- Jul 5, 2026
Categories
- Dot
- LLM Frameworks, Data & Retrieval, Speech & Audio
- llm-app
- LLM Frameworks, Data & Retrieval, Vector Databases
Trust and health
Maintenance
- Dot
- Dormant (18%)
- llm-app
- Very active (96%)
Days since push
- Dot
- 578d
- llm-app
- 5d
Open issues (now)
- Dot
- 14
- llm-app
- 10
Owner type
- Dot
- User
- llm-app
- Organization
Full report
- Dot
- Trust report
- llm-app
- Trust report
Choose Dot if…
- Dot is primarily JavaScript; llm-app is Jupyter Notebook.
- License: Dot is GPL-3.0, llm-app is MIT.
- Tags unique to Dot: document-chat, embeddings, local, llamacpp.
- Also covers Speech & Audio.
When NOT to use Dot
- Last GitHub push was 579 days ago (dormant maintenance, Dec 9, 2024). Validate activity before betting a new project on Dot.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; Dot is JavaScript.
- License: llm-app is MIT, Dot is GPL-3.0.
- 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: vector-database, llm, hugging-face, 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 (alexpinel/Dot) · observed Jul 11, 2026
- GitHub forks (alexpinel/Dot) · observed Jul 11, 2026
- Last push (alexpinel/Dot) · observed Dec 9, 2024
- License file (GPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: Dot 1.9k · llm-app 59k (synced Jul 11, 2026).
Common questions
- What is the difference between Dot and llm-app?
- Dot: Text-To-Speech, RAG, and LLMs. All local!. 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 Dot over llm-app?
- Choose Dot over llm-app when Dot is primarily JavaScript; llm-app is Jupyter Notebook; License: Dot is GPL-3.0, llm-app is MIT; Tags unique to Dot: document-chat, embeddings, local, llamacpp; Also covers Speech & Audio.
- When should I choose llm-app over Dot?
- Choose llm-app over Dot when llm-app is primarily Jupyter Notebook; Dot is JavaScript; License: llm-app is MIT, Dot is GPL-3.0; 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: vector-database, llm, hugging-face, 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 Dot?
- Last GitHub push was 579 days ago (dormant maintenance, Dec 9, 2024). Validate activity before betting a new project on Dot. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- 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 Dot or llm-app more popular on GitHub?
- llm-app has more GitHub stars (59,068 vs 1,909). Stars measure visibility, not whether either tool fits your constraints.
- Are Dot and llm-app open source?
- Yes - both are open-source projects on GitHub (Dot: GPL-3.0, llm-app: MIT).
- Where can I find alternatives to Dot or llm-app?
- GraphCanon lists graph-backed alternatives at Dot alternatives and llm-app alternatives (Dot 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, Dot or llm-app?
- Dot: 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 Dot and llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Dot trust report; llm-app trust report.