Comparison
ploomber vs Awesome-AI-Data-Guided-Projects
Verdict
Pick ploomber if ploomber is a Python-based tool that specializes in iterative development and deployment of data pipelines, supporting Jupyter notebooks and integrating smoothly with popular IDEs like PyCharm and VSCode; pick Awesome-AI-Data-Guided-Projects if awesome-AI-Data-Guided-Projects is a curated list featuring projects for building conversational chatbots using large language models and fine-tuning LLMs with LoRA, suitable for portfolio-building in AI.
Markdown twin · ploomber alternatives · Awesome-AI-Data-Guided-Projects alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | ploomber | Awesome-AI-Data-Guided-Projects |
|---|---|---|
| Maintenance | Archived (430d since push) As of 3w · github_public_v1 | Dormant (817d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- ploomber
- The fastest way to build data pipelines. Develop iteratively, deploy anywhere.
- Awesome-AI-Data-Guided-Projects
- A curated list of data science & AI guided projects for portfolio-building
Stars
- ploomber
- 3.6k
- Awesome-AI-Data-Guided-Projects
- 723
Forks
- ploomber
- 243
- Awesome-AI-Data-Guided-Projects
- 151
Open issues
- ploomber
- 110
- Awesome-AI-Data-Guided-Projects
- 2
Language
- ploomber
- Python
- Awesome-AI-Data-Guided-Projects
- -
Adopt for
- ploomber
- Ploomber is a Python-based tool that specializes in iterative development and deployment of data pipelines, supporting Jupyter notebooks and integrating smoothly with popular IDEs like PyCharm and VSCode.
- Awesome-AI-Data-Guided-Projects
- Awesome-AI-Data-Guided-Projects is a curated list featuring projects for building conversational chatbots using large language models and fine-tuning LLMs with LoRA, suitable for portfolio-building in AI.
Persona
- ploomber
- -
- Awesome-AI-Data-Guided-Projects
- -
Runtime
- ploomber
- -
- Awesome-AI-Data-Guided-Projects
- -
License
- ploomber
- Ploomber operates under the Apache License 2.0 which allows free use, modification and distribution, provided that any redistributed code includes an acknowledgement of the original license.
- Awesome-AI-Data-Guided-Projects
- GPL-3.0 License allows free use for personal and commercial purposes but requires users to make their modifications available under the same license terms.
Last pushed
- ploomber
- May 29, 2025
- Awesome-AI-Data-Guided-Projects
- May 5, 2024
Categories
- ploomber
- Developer Tools
- Awesome-AI-Data-Guided-Projects
- Developer Tools, LLM Frameworks, Model Training
Trust and health
Maintenance
- ploomber
- Archived (8%)
- Awesome-AI-Data-Guided-Projects
- Dormant (18%)
Days since push
- ploomber
- 430d
- Awesome-AI-Data-Guided-Projects
- 817d
Archived on GitHub
- ploomber
- Yes
- Awesome-AI-Data-Guided-Projects
- No
Open issues (now)
- ploomber
- 110
- Awesome-AI-Data-Guided-Projects
- 2
Owner type
- ploomber
- Organization
- Awesome-AI-Data-Guided-Projects
- User
Full report
- ploomber
- Trust report
- Awesome-AI-Data-Guided-Projects
- Trust report
Choose ploomber if…
- License: ploomber is Apache-2.0, Awesome-AI-Data-Guided-Projects is GPL-3.0.
- Requirements: Works with Python versions 3.7 and higher..
- Tags unique to ploomber: data-engineering, data-science, jupyter-notebooks, mlops.
- Use Ploomber when you need to iteratively develop and test data pipelines using Python, as it provides native support for such workflows.
When NOT to use ploomber
- Avoid Ploomber if your development process does not involve iterative testing or if direct integration with Jupyter notebooks is unnecessary.
- Do not use Ploomber if you prefer a non-IDE environment and you do not need Python's ecosystem for building data pipelines, as it heavily integrates with IDEs like PyCharm and VSCode.
Choose Awesome-AI-Data-Guided-Projects if…
- License: Awesome-AI-Data-Guided-Projects is GPL-3.0, ploomber is Apache-2.0.
- Tags unique to Awesome-AI-Data-Guided-Projects: ai, computer-vision, datascience, deep-learning.
- Also covers LLM Frameworks, Model Training.
- You need guided projects to build conversational chatbot applications.
When NOT to use Awesome-AI-Data-Guided-Projects
- Looking for end-to-end LLM training from scratch; this tool focuses more on fine-tuning and guided projects.
- In search of proprietary AI tools or custom enterprise solutions, as Awesome-AI-Data-Guided-Projects offers open-source project guides.
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 Aug 3, 2026
- GitHub forks (ploomber/ploomber) · observed Aug 3, 2026
- Last push (ploomber/ploomber) · observed May 29, 2025
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed Jul 31, 2026
- GitHub forks (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed Jul 31, 2026
- Last push (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed May 5, 2024
- License file (GPL-3.0) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ploomber 3.6k · Awesome-AI-Data-Guided-Projects 723 (synced Aug 3, 2026).
Common questions
- What is the difference between ploomber and Awesome-AI-Data-Guided-Projects?
- ploomber: The fastest way to build data pipelines. Develop iteratively, deploy anywhere.. Awesome-AI-Data-Guided-Projects: A curated list of data science & AI guided projects for portfolio-building. See the comparison table for live GitHub stats and shared categories.
- When should I choose ploomber over Awesome-AI-Data-Guided-Projects?
- Choose ploomber over Awesome-AI-Data-Guided-Projects when License: ploomber is Apache-2.0, Awesome-AI-Data-Guided-Projects is GPL-3.0; Requirements: Works with Python versions 3.7 and higher.; Tags unique to ploomber: data-engineering, data-science, jupyter-notebooks, mlops; Use Ploomber when you need to iteratively develop and test data pipelines using Python, as it provides native support for such workflows.
- When should I choose Awesome-AI-Data-Guided-Projects over ploomber?
- Choose Awesome-AI-Data-Guided-Projects over ploomber when License: Awesome-AI-Data-Guided-Projects is GPL-3.0, ploomber is Apache-2.0; Tags unique to Awesome-AI-Data-Guided-Projects: ai, computer-vision, datascience, deep-learning; Also covers LLM Frameworks, Model Training; You need guided projects to build conversational chatbot applications.
- When should I avoid ploomber?
- Avoid Ploomber if your development process does not involve iterative testing or if direct integration with Jupyter notebooks is unnecessary. Do not use Ploomber if you prefer a non-IDE environment and you do not need Python's ecosystem for building data pipelines, as it heavily integrates with IDEs like PyCharm and VSCode.
- When should I avoid Awesome-AI-Data-Guided-Projects?
- Looking for end-to-end LLM training from scratch; this tool focuses more on fine-tuning and guided projects. In search of proprietary AI tools or custom enterprise solutions, as Awesome-AI-Data-Guided-Projects offers open-source project guides.
- Is ploomber or Awesome-AI-Data-Guided-Projects more popular on GitHub?
- ploomber has more GitHub stars (3,622 vs 723). Stars measure visibility, not whether either tool fits your constraints.
- Are ploomber and Awesome-AI-Data-Guided-Projects open source?
- Yes - both are open-source projects on GitHub (ploomber: Apache-2.0, Awesome-AI-Data-Guided-Projects: GPL-3.0).
- Where can I find alternatives to ploomber or Awesome-AI-Data-Guided-Projects?
- GraphCanon lists graph-backed alternatives at ploomber alternatives and Awesome-AI-Data-Guided-Projects alternatives (ploomber markdown twin, Awesome-AI-Data-Guided-Projects 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-AI-Data-Guided-Projects?
- ploomber: Archived. Awesome-AI-Data-Guided-Projects: 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 ploomber and Awesome-AI-Data-Guided-Projects?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ploomber trust report; Awesome-AI-Data-Guided-Projects trust report.