Comparison
kedro vs awesome-llm-apps
Verdict
Pick kedro when tags unique to kedro: machine-learning, agentic-workflow, hacktoberfest, agentic-ai; pick awesome-llm-apps when pricing: Free with open-source licensing, but commercial exploitation is allowed..
Markdown twin · kedro alternatives · awesome-llm-apps alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | kedro | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (2d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- kedro
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, an
- awesome-llm-apps
- 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
Stars
- kedro
- 11k
- awesome-llm-apps
- 118k
Forks
- kedro
- 1.1k
- awesome-llm-apps
- 17k
Open issues
- kedro
- 161
- awesome-llm-apps
- 6
Language
- kedro
- Python
- awesome-llm-apps
- Python
Adopt for
- kedro
- -
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- kedro
- -
- awesome-llm-apps
- -
Runtime
- kedro
- -
- awesome-llm-apps
- -
License
- kedro
- Apache-2.0
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- kedro
- Jul 9, 2026
- awesome-llm-apps
- Jul 11, 2026
Categories
- kedro
- AI Agents, Data & Retrieval
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- kedro
- 2d
- awesome-llm-apps
- 0d
Open issues (now)
- kedro
- 161
- awesome-llm-apps
- 6
Owner type
- kedro
- Organization
- awesome-llm-apps
- User
Full report
- kedro
- Trust report
- awesome-llm-apps
- Trust report
Shared compatibility
- Python · kedro: Python runtime · awesome-llm-apps: Python runtime
Choose kedro if…
- Tags unique to kedro: machine-learning, agentic-workflow, hacktoberfest, agentic-ai.
When NOT to use kedro
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Choose awesome-llm-apps if…
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: llms, deployable, applications, agents.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
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) · observed Jul 11, 2026
- GitHub forks (kedro-org/kedro) · observed Jul 11, 2026
- Last push (kedro-org/kedro) · observed Jul 9, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: kedro 11k · awesome-llm-apps 118k (synced Jul 11, 2026).
Common questions
- What is the difference between kedro and awesome-llm-apps?
- kedro: Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, an. awesome-llm-apps: 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.. See the comparison table for live GitHub stats and shared categories.
- When should I choose kedro over awesome-llm-apps?
- Choose kedro over awesome-llm-apps when Tags unique to kedro: machine-learning, agentic-workflow, hacktoberfest, agentic-ai.
- When should I choose awesome-llm-apps over kedro?
- Choose awesome-llm-apps over kedro when Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: llms, deployable, applications, agents; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid kedro?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is kedro or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (117,774 vs 10,911). Stars measure visibility, not whether either tool fits your constraints.
- Are kedro and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (kedro: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to kedro or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at kedro alternatives and awesome-llm-apps alternatives (kedro markdown twin, awesome-llm-apps 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 or awesome-llm-apps?
- kedro: Very active. awesome-llm-apps: 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 and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: kedro trust report; awesome-llm-apps trust report.