Comparison
autoai vs Awesome-AI-Data-Guided-Projects
Verdict
Pick autoai if python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation; 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 · autoai alternatives · Awesome-AI-Data-Guided-Projects alternatives
GraphCanon updated Sep 30, 2026
8views this month
vs
Trust & integrity
| Signal | autoai | Awesome-AI-Data-Guided-Projects |
|---|---|---|
| Maintenance | Dormant (554d since push) As of Sep 30, 2026 · github_public_v1 | Dormant (870d since push) As of Sep 23, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 30, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 23, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- autoai
- Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation
- Awesome-AI-Data-Guided-Projects
- A curated list of data science & AI guided projects for portfolio-building
Stars
- autoai
- 186
- Awesome-AI-Data-Guided-Projects
- 724
Forks
- autoai
- 46
- Awesome-AI-Data-Guided-Projects
- 152
Open issues
- autoai
- 9
- Awesome-AI-Data-Guided-Projects
- 3
Language
- autoai
- Python
- Awesome-AI-Data-Guided-Projects
- -
Adopt for
- autoai
- Python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation.
- 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
- autoai
- -
- Awesome-AI-Data-Guided-Projects
- -
Runtime
- autoai
- -
- Awesome-AI-Data-Guided-Projects
- -
License
- autoai
- Apache-2.0
- 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
- autoai
- Mar 25, 2025
- Awesome-AI-Data-Guided-Projects
- May 5, 2024
Categories
- autoai
- Model Training
- Awesome-AI-Data-Guided-Projects
- Developer Tools, LLM Frameworks, Model Training
Trust and health
Days since push
- autoai
- 554d
- Awesome-AI-Data-Guided-Projects
- 870d
Open issues (now)
- autoai
- 9
- Awesome-AI-Data-Guided-Projects
- 3
Stars delta
- autoai
- 0 (30d)
- Awesome-AI-Data-Guided-Projects
- +1 (30d)
Open issues delta
- autoai
- 0 (30d)
- Awesome-AI-Data-Guided-Projects
- +1 (30d)
Owner type
- autoai
- Organization
- Awesome-AI-Data-Guided-Projects
- User
OSV dependency advisories
- autoai
- Published findings
- Awesome-AI-Data-Guided-Projects
- No lockfile (source not queried)
Full report
- autoai
- Trust report
- Awesome-AI-Data-Guided-Projects
- Trust report
Choose autoai if…
- License: autoai is Apache-2.0, Awesome-AI-Data-Guided-Projects is GPL-3.0.
- Tags unique to autoai: autoai, automl, codegen, ml.
- Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
When NOT to use autoai
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing.
- Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
Choose Awesome-AI-Data-Guided-Projects if…
- License: Awesome-AI-Data-Guided-Projects is GPL-3.0, autoai is Apache-2.0.
- Tags unique to Awesome-AI-Data-Guided-Projects: computer-vision, datascience, llm.
- Also covers Developer Tools, LLM Frameworks.
- 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 (blobcity/autoai) · observed Sep 30, 2026
- GitHub forks (blobcity/autoai) · observed Sep 30, 2026
- Last push (blobcity/autoai) · observed Mar 25, 2025
- License file (Apache-2.0) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed Sep 23, 2026
- GitHub forks (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed Sep 23, 2026
- Last push (youssefHosni/Awesome-AI-Data-Guided-Projects) · observed May 5, 2024
- License file (GPL-3.0) · observed Sep 23, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autoai 186 · Awesome-AI-Data-Guided-Projects 724 (synced Sep 30, 2026).
Common questions
- What is the difference between autoai and Awesome-AI-Data-Guided-Projects?
- autoai: Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation. 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 autoai over Awesome-AI-Data-Guided-Projects?
- Choose autoai over Awesome-AI-Data-Guided-Projects when License: autoai is Apache-2.0, Awesome-AI-Data-Guided-Projects is GPL-3.0; Tags unique to autoai: autoai, automl, codegen, ml; Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
- When should I choose Awesome-AI-Data-Guided-Projects over autoai?
- Choose Awesome-AI-Data-Guided-Projects over autoai when License: Awesome-AI-Data-Guided-Projects is GPL-3.0, autoai is Apache-2.0; Tags unique to Awesome-AI-Data-Guided-Projects: computer-vision, datascience, llm; Also covers Developer Tools, LLM Frameworks; You need guided projects to build conversational chatbot applications.
- When should I avoid autoai?
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing. Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
- 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 autoai or Awesome-AI-Data-Guided-Projects more popular on GitHub?
- Awesome-AI-Data-Guided-Projects has more GitHub stars (724 vs 186). Stars measure visibility, not whether either tool fits your constraints.
- Are autoai and Awesome-AI-Data-Guided-Projects open source?
- Yes - both are open-source projects on GitHub (autoai: Apache-2.0, Awesome-AI-Data-Guided-Projects: GPL-3.0).
- Where can I find alternatives to autoai or Awesome-AI-Data-Guided-Projects?
- GraphCanon lists graph-backed alternatives at autoai alternatives and Awesome-AI-Data-Guided-Projects alternatives (autoai 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, autoai or Awesome-AI-Data-Guided-Projects?
- autoai: Dormant. 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 autoai and Awesome-AI-Data-Guided-Projects?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoai trust report; Awesome-AI-Data-Guided-Projects trust report.