Home/Compare/scaling-book vs llm-course

Comparison

scaling-book vs llm-course

Verdict

Pick scaling-book when license: scaling-book is MIT, llm-course is Apache-2.0; pick llm-course when license: llm-course is Apache-2.0, scaling-book is MIT.

Markdown twin · scaling-book alternatives · llm-course alternatives

GraphCanon updated today

scaling-book logo

scaling-book

jax-ml/scaling-book

1.3kpushed Jul 8, 2026
vs
llm-course logo

llm-course

mlabonne/llm-course

81kpushed Feb 5, 2026

Trust & integrity

Signalscaling-bookllm-course
Maintenance
Very active (2d since push)
As of today · github_public_v1
Slowing (155d 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

scaling-book
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Stars

scaling-book
1.3k
llm-course
81k

Forks

scaling-book
179
llm-course
9.4k

Open issues

scaling-book
8
llm-course
84

Language

scaling-book
HTML
llm-course
-

Adopt for

scaling-book
-
llm-course
The llm-course provides a comprehensive guided course on Large Language Models (LLMs), divided into three parts: LLM Fundamentals, The LLM Scientist, and The LLM Engineer. It includes resources such as Colab notebooks to

Persona

scaling-book
-
llm-course
-

Runtime

scaling-book
-
llm-course
-

License

scaling-book
MIT
llm-course
Apache-2.0

Last pushed

scaling-book
Jul 8, 2026
llm-course
Feb 5, 2026

Categories

scaling-book
LLM Frameworks, Inference & Serving
llm-course
LLM Frameworks, Model Training, Inference & Serving, Evaluation & Observability

Trust and health

Maintenance

scaling-book
Very active (96%)
llm-course
Slowing (36%)

Days since push

scaling-book
2d
llm-course
155d

Open issues (now)

scaling-book
8
llm-course
84

Owner type

scaling-book
Organization
llm-course
User

Full report

scaling-book
Trust report
llm-course
Trust report

Choose scaling-book if…

  • License: scaling-book is MIT, llm-course is Apache-2.0.
  • Tags unique to scaling-book: llms, html, roofline, llm-inference.
  • More recently updated (last pushed Jul 8, 2026).

When NOT to use scaling-book

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose llm-course if…

  • License: llm-course is Apache-2.0, scaling-book is MIT.
  • Requirements: Course materials are available in Colab notebooks; access requires a Google account.
  • Tags unique to llm-course: colab-notebooks, machine-learning, course, large-language-models.
  • Also covers Model Training, Evaluation & Observability.
  • - When you want a comprehensive roadmap for understanding large language models including fundamental knowledge

When NOT to use llm-course

  • - If you only require a quick introduction to LLMs without deep dive into core components
  • - When you prefer working directly with commercial platforms that provide complete services rather than following detailed steps on building and deploying models yourself through this course's open,DI

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: scaling-book 1.3k · llm-course 81k (synced Jul 11, 2026).

Common questions

What is the difference between scaling-book and llm-course?
scaling-book: Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs. llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.. See the comparison table for live GitHub stats and shared categories.
When should I choose scaling-book over llm-course?
Choose scaling-book over llm-course when License: scaling-book is MIT, llm-course is Apache-2.0; Tags unique to scaling-book: llms, html, roofline, llm-inference; More recently updated (last pushed Jul 8, 2026).
When should I choose llm-course over scaling-book?
Choose llm-course over scaling-book when License: llm-course is Apache-2.0, scaling-book is MIT; Requirements: Course materials are available in Colab notebooks; access requires a Google account; Tags unique to llm-course: colab-notebooks, machine-learning, course, large-language-models; Also covers Model Training, Evaluation & Observability; - When you want a comprehensive roadmap for understanding large language models including fundamental knowledge.
When should I avoid scaling-book?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid llm-course?
- If you only require a quick introduction to LLMs without deep dive into core components - When you prefer working directly with commercial platforms that provide complete services rather than following detailed steps on building and deploying models yourself through this course's open,DI
Is scaling-book or llm-course more popular on GitHub?
llm-course has more GitHub stars (80,839 vs 1,258). Stars measure visibility, not whether either tool fits your constraints.
Are scaling-book and llm-course open source?
Yes - both are open-source projects on GitHub (scaling-book: MIT, llm-course: Apache-2.0).
Where can I find alternatives to scaling-book or llm-course?
GraphCanon lists graph-backed alternatives at scaling-book alternatives and llm-course alternatives (scaling-book markdown twin, llm-course 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, scaling-book or llm-course?
scaling-book: Very active. llm-course: Slowing. 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 scaling-book and llm-course?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: scaling-book trust report; llm-course trust report.