Comparison
autokeras vs ai-engineering-from-scratch
Verdict
Pick autokeras if autoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+; pick ai-engineering-from-scratch if ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning and.
Markdown twin · autokeras alternatives · ai-engineering-from-scratch alternatives
GraphCanon updated Sep 30, 2026
5views this month
vs
Trust & integrity
| Signal | autokeras | ai-engineering-from-scratch |
|---|---|---|
| Maintenance | Slowing (309d since push) As of Sep 30, 2026 · github_public_v1 | Active (10d since push) As of Sep 18, 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 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 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
- autokeras
- AutoML library for deep learning
- ai-engineering-from-scratch
- Learn, build, and deploy AI engineering skills from scratch.
Stars
- autokeras
- 9.3k
- ai-engineering-from-scratch
- 55k
Forks
- autokeras
- 1.4k
- ai-engineering-from-scratch
- 9.6k
Open issues
- autokeras
- 161
- ai-engineering-from-scratch
- 114
Language
- autokeras
- Python
- ai-engineering-from-scratch
- Python
Adopt for
- autokeras
- AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
- ai-engineering-from-scratch
- ai-engineering-from-scratch is a comprehensive course that teaches AI engineering skills from foundational math to advanced AI agents and machine learning techniques, using Python and Node.js for interactive learning and
Persona
- autokeras
- -
- ai-engineering-from-scratch
- -
Runtime
- autokeras
- -
- ai-engineering-from-scratch
- -
License
- autokeras
- Apache-2.0
- ai-engineering-from-scratch
- MIT
Last pushed
- autokeras
- Nov 25, 2025
- ai-engineering-from-scratch
- Sep 7, 2026
Categories
- autokeras
- Developer Tools, Model Training
- ai-engineering-from-scratch
- AI Agents, Computer Vision, Developer Tools, Model Training
Trust and health
Maintenance
- autokeras
- Slowing (36%)
- ai-engineering-from-scratch
- Active (82%)
Days since push
- autokeras
- 309d
- ai-engineering-from-scratch
- 10d
Open issues (now)
- autokeras
- 161
- ai-engineering-from-scratch
- 114
Stars delta
- autokeras
- +7 (30d)
- ai-engineering-from-scratch
- +8.1k (30d)
Open issues delta
- autokeras
- 0 (30d)
- ai-engineering-from-scratch
- +7 (30d)
Owner type
- autokeras
- Organization
- ai-engineering-from-scratch
- User
OSV dependency advisories
- autokeras
- No lockfile (source not queried)
- ai-engineering-from-scratch
- Published findings
Full report
- autokeras
- Trust report
- ai-engineering-from-scratch
- Trust report
Shared compatibility
- Python · autokeras: Python runtime · ai-engineering-from-scratch: Python runtime
Choose autokeras if…
- License: autokeras is Apache-2.0, ai-engineering-from-scratch is MIT.
- Tags unique to autokeras: autodl, automl, keras, neural-architecture-search.
- When your project involves deep learning tasks requiring minimal manual intervention in designing models.
When NOT to use autokeras
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible.
- If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
Choose ai-engineering-from-scratch if…
- License: ai-engineering-from-scratch is MIT, autokeras is Apache-2.0.
- Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, from-scratch.
- Also covers AI Agents, Computer Vision.
- when you need a structured course that covers a wide range of AI engineering topics from scratch, including foundational math, deep learning, and reinforcement learning.
When NOT to use ai-engineering-from-scratch
- if you are looking for a tool that focuses solely on theoretical knowledge without practical application, as this course emphasizes hands-on learning.
- when you do not have access to Node.js or Python, as these are required for running the course and its interactive components.
- if you prefer a more traditional learning approach without the use of terminal-based learning tools, as the course is designed for interactive terminal sessions.
- when you are working with a development environment that does not support skill-capable hosts, as the course is optimized for such environments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (keras-team/autokeras) · observed Sep 30, 2026
- GitHub forks (keras-team/autokeras) · observed Sep 30, 2026
- Last push (keras-team/autokeras) · observed Nov 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 (rohitg00/ai-engineering-from-scratch) · observed Sep 20, 2026
- GitHub forks (rohitg00/ai-engineering-from-scratch) · observed Sep 20, 2026
- Last push (rohitg00/ai-engineering-from-scratch) · observed Sep 7, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: autokeras 9.3k · ai-engineering-from-scratch 55k (synced Sep 30, 2026).
Common questions
- What is the difference between autokeras and ai-engineering-from-scratch?
- autokeras: AutoML library for deep learning. ai-engineering-from-scratch: Learn, build, and deploy AI engineering skills from scratch.. See the comparison table for live GitHub stats and shared categories.
- When should I choose autokeras over ai-engineering-from-scratch?
- Choose autokeras over ai-engineering-from-scratch when License: autokeras is Apache-2.0, ai-engineering-from-scratch is MIT; Tags unique to autokeras: autodl, automl, keras, neural-architecture-search; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
- When should I choose ai-engineering-from-scratch over autokeras?
- Choose ai-engineering-from-scratch over autokeras when License: ai-engineering-from-scratch is MIT, autokeras is Apache-2.0; Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, from-scratch; Also covers AI Agents, Computer Vision; when you need a structured course that covers a wide range of AI engineering topics from scratch, including foundational math, deep learning, and reinforcement learning.
- When should I avoid autokeras?
- When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible. If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
- When should I avoid ai-engineering-from-scratch?
- if you are looking for a tool that focuses solely on theoretical knowledge without practical application, as this course emphasizes hands-on learning. when you do not have access to Node.js or Python, as these are required for running the course and its interactive components. if you prefer a more traditional learning approach without the use of terminal-based learning tools, as the course is designed for interactive terminal sessions. when you are working with a development environment that does not support skill-capable hosts, as the course is optimized for such environments.
- Is autokeras or ai-engineering-from-scratch more popular on GitHub?
- ai-engineering-from-scratch has more GitHub stars (54,935 vs 9,335). Stars measure visibility, not whether either tool fits your constraints.
- Are autokeras and ai-engineering-from-scratch open source?
- Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, ai-engineering-from-scratch: MIT).
- Where can I find alternatives to autokeras or ai-engineering-from-scratch?
- GraphCanon lists graph-backed alternatives at autokeras alternatives and ai-engineering-from-scratch alternatives (autokeras markdown twin, ai-engineering-from-scratch 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, autokeras or ai-engineering-from-scratch?
- autokeras: Slowing. ai-engineering-from-scratch: 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 autokeras and ai-engineering-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autokeras trust report; ai-engineering-from-scratch trust report.