Comparison
kedro-viz vs llm-app
Verdict
Pick kedro-viz when kedro-viz is primarily JavaScript; llm-app is Jupyter Notebook; pick llm-app when llm-app is primarily Jupyter Notebook; kedro-viz is JavaScript.
Markdown twin · kedro-viz alternatives · llm-app alternatives
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Trust & integrity
| Signal | kedro-viz | llm-app |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Very active (5d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of 1d · none |
Tagline
- kedro-viz
- Visualise your Kedro data and machine-learning pipelines and track your experiments.
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Stars
- kedro-viz
- 752
- llm-app
- 59k
Forks
- kedro-viz
- 123
- llm-app
- 1.4k
Open issues
- kedro-viz
- 77
- llm-app
- 10
Language
- kedro-viz
- JavaScript
- llm-app
- Jupyter Notebook
Adopt for
- kedro-viz
- -
- 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
- kedro-viz
- -
- llm-app
- -
Runtime
- kedro-viz
- -
- llm-app
- -
License
- kedro-viz
- Apache-2.0
- llm-app
- MIT
Last pushed
- kedro-viz
- Jul 10, 2026
- llm-app
- Jul 5, 2026
Categories
- kedro-viz
- Data & Retrieval, Vector Databases
- llm-app
- Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Days since push
- kedro-viz
- 1d
- llm-app
- 5d
Open issues (now)
- kedro-viz
- 77
- llm-app
- 10
Full report
- kedro-viz
- Trust report
- llm-app
- Trust report
Choose kedro-viz if…
- kedro-viz is primarily JavaScript; llm-app is Jupyter Notebook.
- License: kedro-viz is Apache-2.0, llm-app is MIT.
- Tags unique to kedro-viz: data-visualization, experiment-tracking, hacktoberfest, javascript.
When NOT to use kedro-viz
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- 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; kedro-viz is JavaScript.
- License: llm-app is MIT, kedro-viz is Apache-2.0.
- 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: chatbot, hugging-face, llm, retrieval-augmented-generation.
- Also covers LLM Frameworks.
- - 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 (kedro-org/kedro-viz) · observed Jul 11, 2026
- GitHub forks (kedro-org/kedro-viz) · observed Jul 11, 2026
- Last push (kedro-org/kedro-viz) · observed Jul 10, 2026
- License file (Apache-2.0) · 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: kedro-viz 752 · llm-app 59k (synced Jul 11, 2026).
Common questions
- What is the difference between kedro-viz and llm-app?
- kedro-viz: Visualise your Kedro data and machine-learning pipelines and track your experiments.. 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 kedro-viz over llm-app?
- Choose kedro-viz over llm-app when kedro-viz is primarily JavaScript; llm-app is Jupyter Notebook; License: kedro-viz is Apache-2.0, llm-app is MIT; Tags unique to kedro-viz: data-visualization, experiment-tracking, hacktoberfest, javascript.
- When should I choose llm-app over kedro-viz?
- Choose llm-app over kedro-viz when llm-app is primarily Jupyter Notebook; kedro-viz is JavaScript; License: llm-app is MIT, kedro-viz is Apache-2.0; 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: chatbot, hugging-face, llm, retrieval-augmented-generation; Also covers LLM Frameworks; - 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 kedro-viz?
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. 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 kedro-viz or llm-app more popular on GitHub?
- llm-app has more GitHub stars (59,068 vs 752). Stars measure visibility, not whether either tool fits your constraints.
- Are kedro-viz and llm-app open source?
- Yes - both are open-source projects on GitHub (kedro-viz: Apache-2.0, llm-app: MIT).
- Where can I find alternatives to kedro-viz or llm-app?
- GraphCanon lists graph-backed alternatives at kedro-viz alternatives and llm-app alternatives (kedro-viz 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, kedro-viz or llm-app?
- kedro-viz: Very active. 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 kedro-viz and llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: kedro-viz trust report; llm-app trust report.