Comparison
llm-app vs DistiLlama
Verdict
Pick llm-app when llm-app is primarily Jupyter Notebook; DistiLlama is TypeScript; pick DistiLlama when distiLlama is primarily TypeScript; llm-app is Jupyter Notebook.
Markdown twin · llm-app alternatives · DistiLlama alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | llm-app | DistiLlama |
|---|---|---|
| Maintenance | Very active (5d since push) As of 4d · github_public_v1 | Dormant (680d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
- DistiLlama
- Chrome Extension to Summarize or Chat with Web Pages/Local Documents Using locally running LLMs. Keep all of your data and conversations private. 🔐
Stars
- llm-app
- 59k
- DistiLlama
- 305
Forks
- llm-app
- 1.4k
- DistiLlama
- 32
Open issues
- llm-app
- 10
- DistiLlama
- 9
Language
- llm-app
- Jupyter Notebook
- DistiLlama
- TypeScript
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
- DistiLlama
- -
Persona
- llm-app
- -
- DistiLlama
- -
Runtime
- llm-app
- -
- DistiLlama
- -
License
- llm-app
- MIT
- DistiLlama
- MIT
Last pushed
- llm-app
- Jul 5, 2026
- DistiLlama
- Sep 2, 2024
Categories
- llm-app
- Data & Retrieval, LLM Frameworks, Vector Databases
- DistiLlama
- Data & Retrieval, Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- llm-app
- Very active (96%)
- DistiLlama
- Dormant (18%)
Days since push
- llm-app
- 5d
- DistiLlama
- 680d
Open issues (now)
- llm-app
- 10
- DistiLlama
- 9
Owner type
- llm-app
- Organization
- DistiLlama
- User
Full report
- llm-app
- Trust report
- DistiLlama
- Trust report
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; DistiLlama 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 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.
Choose DistiLlama if…
- DistiLlama is primarily TypeScript; llm-app is Jupyter Notebook.
- Tags unique to DistiLlama: chrome-extension, langchain, llama2, llms.
- Also covers Inference & Serving.
When NOT to use DistiLlama
- Last GitHub push was 680 days ago (dormant maintenance, Sep 2, 2024). Validate activity before betting a new project on DistiLlama.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 (shreyaskarnik/DistiLlama) · observed Jul 15, 2026
- GitHub forks (shreyaskarnik/DistiLlama) · observed Jul 15, 2026
- Last push (shreyaskarnik/DistiLlama) · observed Sep 2, 2024
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: llm-app 59k · DistiLlama 305 (synced Jul 11, 2026).
Common questions
- What is the difference between llm-app and DistiLlama?
- llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. DistiLlama: Chrome Extension to Summarize or Chat with Web Pages/Local Documents Using locally running LLMs. Keep all of your data and conversations private. 🔐. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm-app over DistiLlama?
- Choose llm-app over DistiLlama when llm-app is primarily Jupyter Notebook; DistiLlama 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 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 choose DistiLlama over llm-app?
- Choose DistiLlama over llm-app when DistiLlama is primarily TypeScript; llm-app is Jupyter Notebook; Tags unique to DistiLlama: chrome-extension, langchain, llama2, llms; Also covers Inference & Serving.
- 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 DistiLlama?
- Last GitHub push was 680 days ago (dormant maintenance, Sep 2, 2024). Validate activity before betting a new project on DistiLlama. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is llm-app or DistiLlama more popular on GitHub?
- llm-app has more GitHub stars (59,068 vs 305). Stars measure visibility, not whether either tool fits your constraints.
- Are llm-app and DistiLlama open source?
- Yes - both are open-source projects on GitHub (llm-app: MIT, DistiLlama: MIT).
- Where can I find alternatives to llm-app or DistiLlama?
- GraphCanon lists graph-backed alternatives at llm-app alternatives and DistiLlama alternatives (llm-app markdown twin, DistiLlama 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 DistiLlama?
- llm-app: Very active. DistiLlama: 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 DistiLlama?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-app trust report; DistiLlama trust report.