Comparison
pipelines vs awesome-llm-apps
Verdict
Pick pipelines when tags unique to pipelines: data-science, machine-learning, pipeline, kubeflow-pipelines; pick awesome-llm-apps when pricing: Free with open-source licensing, but commercial exploitation is allowed..
Markdown twin · pipelines alternatives · awesome-llm-apps alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | pipelines | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (0d 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) | 2 low (2 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- pipelines
- Machine Learning Pipelines for Kubeflow
- awesome-llm-apps
- 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
Stars
- pipelines
- 4.2k
- awesome-llm-apps
- 118k
Forks
- pipelines
- 2.0k
- awesome-llm-apps
- 17k
Open issues
- pipelines
- 419
- awesome-llm-apps
- 6
Language
- pipelines
- Python
- awesome-llm-apps
- Python
Adopt for
- pipelines
- -
- 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
- pipelines
- -
- awesome-llm-apps
- -
Runtime
- pipelines
- -
- awesome-llm-apps
- -
License
- pipelines
- 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
- pipelines
- Jul 11, 2026
- awesome-llm-apps
- Jul 11, 2026
Categories
- pipelines
- Data & Retrieval, Inference & Serving
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- pipelines
- 419
- awesome-llm-apps
- 6
Owner type
- pipelines
- Organization
- awesome-llm-apps
- User
Security scan
- pipelines
- 2 low (2 low)
- awesome-llm-apps
- No lockfile
Full report
- pipelines
- Trust report
- awesome-llm-apps
- Trust report
Choose pipelines if…
- Tags unique to pipelines: data-science, machine-learning, pipeline, kubeflow-pipelines.
- Also covers Inference & Serving.
- More recently updated (last pushed Jul 11, 2026).
When NOT to use pipelines
- 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.
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.
- Also covers AI 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 (kubeflow/pipelines) · observed Jul 11, 2026
- GitHub forks (kubeflow/pipelines) · observed Jul 11, 2026
- Last push (kubeflow/pipelines) · observed Jul 11, 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: pipelines 4.2k · awesome-llm-apps 118k (synced Jul 11, 2026).
Common questions
- What is the difference between pipelines and awesome-llm-apps?
- pipelines: Machine Learning Pipelines for Kubeflow. 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 pipelines over awesome-llm-apps?
- Choose pipelines over awesome-llm-apps when Tags unique to pipelines: data-science, machine-learning, pipeline, kubeflow-pipelines; Also covers Inference & Serving; More recently updated (last pushed Jul 11, 2026).
- When should I choose awesome-llm-apps over pipelines?
- Choose awesome-llm-apps over pipelines when Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: llms, deployable, applications, agents; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid pipelines?
- 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.
- 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 pipelines or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (117,774 vs 4,169). Stars measure visibility, not whether either tool fits your constraints.
- Are pipelines and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (pipelines: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to pipelines or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at pipelines alternatives and awesome-llm-apps alternatives (pipelines 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, pipelines or awesome-llm-apps?
- pipelines: 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 pipelines and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pipelines trust report; awesome-llm-apps trust report.