Comparison
ploomber vs awesome-llm-apps
Verdict
Pick ploomber when tags unique to ploomber: data-science, data-engineering, jupyter-notebooks, machine-learning; pick awesome-llm-apps when pricing: Free with open-source licensing, but commercial exploitation is allowed..
Markdown twin · ploomber alternatives · awesome-llm-apps alternatives
GraphCanon updated today
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Trust & integrity
| Signal | ploomber | awesome-llm-apps |
|---|---|---|
| Maintenance | Archived (408d 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
- ploomber
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
- awesome-llm-apps
- 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
Stars
- ploomber
- 3.6k
- awesome-llm-apps
- 118k
Forks
- ploomber
- 242
- awesome-llm-apps
- 17k
Open issues
- ploomber
- 110
- awesome-llm-apps
- 6
Language
- ploomber
- Python
- awesome-llm-apps
- Python
Adopt for
- ploomber
- -
- 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
- ploomber
- -
- awesome-llm-apps
- -
Runtime
- ploomber
- -
- awesome-llm-apps
- -
License
- ploomber
- 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
- ploomber
- May 29, 2025
- awesome-llm-apps
- Jul 11, 2026
Categories
- ploomber
- Data & Retrieval, Inference & Serving
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- ploomber
- Archived (8%)
- awesome-llm-apps
- Very active (96%)
Days since push
- ploomber
- 408d
- awesome-llm-apps
- 0d
Archived on GitHub
- ploomber
- Yes
- awesome-llm-apps
- No
Open issues (now)
- ploomber
- 110
- awesome-llm-apps
- 6
Owner type
- ploomber
- Organization
- awesome-llm-apps
- User
Full report
- ploomber
- Trust report
- awesome-llm-apps
- Trust report
Shared compatibility
- Python · ploomber: Python runtime · awesome-llm-apps: Python runtime
Choose ploomber if…
- Tags unique to ploomber: data-science, data-engineering, jupyter-notebooks, machine-learning.
- Also covers Inference & Serving.
When NOT to use ploomber
- ploomber is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- 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 (ploomber/ploomber) · observed Jul 11, 2026
- GitHub forks (ploomber/ploomber) · observed Jul 11, 2026
- Last push (ploomber/ploomber) · observed May 29, 2025
- 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: ploomber 3.6k · awesome-llm-apps 118k (synced Jul 11, 2026).
Common questions
- What is the difference between ploomber and awesome-llm-apps?
- ploomber: The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️. 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 ploomber over awesome-llm-apps?
- Choose ploomber over awesome-llm-apps when Tags unique to ploomber: data-science, data-engineering, jupyter-notebooks, machine-learning; Also covers Inference & Serving.
- When should I choose awesome-llm-apps over ploomber?
- Choose awesome-llm-apps over ploomber 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 ploomber?
- ploomber is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. 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 ploomber or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (117,774 vs 3,622). Stars measure visibility, not whether either tool fits your constraints.
- Are ploomber and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (ploomber: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to ploomber or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at ploomber alternatives and awesome-llm-apps alternatives (ploomber 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, ploomber or awesome-llm-apps?
- ploomber: Archived. 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 ploomber and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ploomber trust report; awesome-llm-apps trust report.