Comparison
scaling-book vs gpt4all
Verdict
Pick scaling-book when scaling-book is primarily HTML; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; scaling-book is HTML.
Markdown twin · scaling-book alternatives · gpt4all alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | scaling-book | gpt4all |
|---|---|---|
| Maintenance | Very active (2d since push) As of today · github_public_v1 | Dormant (409d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization 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
- gpt4all
- GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Stars
- scaling-book
- 1.3k
- gpt4all
- 77k
Forks
- scaling-book
- 179
- gpt4all
- 8.3k
Open issues
- scaling-book
- 8
- gpt4all
- 768
Language
- scaling-book
- HTML
- gpt4all
- C++
Adopt for
- scaling-book
- -
- gpt4all
- -
Persona
- scaling-book
- -
- gpt4all
- -
Runtime
- scaling-book
- -
- gpt4all
- -
License
- scaling-book
- MIT
- gpt4all
- MIT
Last pushed
- scaling-book
- Jul 8, 2026
- gpt4all
- May 27, 2025
Categories
- scaling-book
- LLM Frameworks, Inference & Serving
- gpt4all
- LLM Frameworks, Inference & Serving
Trust and health
Maintenance
- scaling-book
- Very active (96%)
- gpt4all
- Dormant (18%)
Days since push
- scaling-book
- 2d
- gpt4all
- 409d
Open issues (now)
- scaling-book
- 8
- gpt4all
- 768
Full report
- scaling-book
- Trust report
- gpt4all
- Trust report
Choose scaling-book if…
- scaling-book is primarily HTML; gpt4all is C++.
- Tags unique to scaling-book: llms, html, roofline, tpus.
- 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 gpt4all if…
- gpt4all is primarily C++; scaling-book is HTML.
- Tags unique to gpt4all: ai-chat, c++.
- More GitHub stars (77k vs 1.3k) - visibility, not fit.
When NOT to use gpt4all
- Last GitHub push was 410 days ago (dormant maintenance, May 27, 2025). Validate activity before betting a new project on gpt4all.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jax-ml/scaling-book) · observed Jul 11, 2026
- GitHub forks (jax-ml/scaling-book) · observed Jul 11, 2026
- Last push (jax-ml/scaling-book) · observed Jul 8, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (nomic-ai/gpt4all) · observed Jul 11, 2026
- GitHub forks (nomic-ai/gpt4all) · observed Jul 11, 2026
- Last push (nomic-ai/gpt4all) · observed May 27, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: scaling-book 1.3k · gpt4all 77k (synced Jul 11, 2026).
Common questions
- What is the difference between scaling-book and gpt4all?
- scaling-book: Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs. gpt4all: GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.. See the comparison table for live GitHub stats and shared categories.
- When should I choose scaling-book over gpt4all?
- Choose scaling-book over gpt4all when scaling-book is primarily HTML; gpt4all is C++; Tags unique to scaling-book: llms, html, roofline, tpus; More recently updated (last pushed Jul 8, 2026).
- When should I choose gpt4all over scaling-book?
- Choose gpt4all over scaling-book when gpt4all is primarily C++; scaling-book is HTML; Tags unique to gpt4all: ai-chat, c++; More GitHub stars (77k vs 1.3k) - visibility, not fit.
- 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 gpt4all?
- Last GitHub push was 410 days ago (dormant maintenance, May 27, 2025). Validate activity before betting a new project on gpt4all. 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.
- Is scaling-book or gpt4all more popular on GitHub?
- gpt4all has more GitHub stars (77,386 vs 1,258). Stars measure visibility, not whether either tool fits your constraints.
- Are scaling-book and gpt4all open source?
- Yes - both are open-source projects on GitHub (scaling-book: MIT, gpt4all: MIT).
- Where can I find alternatives to scaling-book or gpt4all?
- GraphCanon lists graph-backed alternatives at scaling-book alternatives and gpt4all alternatives (scaling-book markdown twin, gpt4all 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 gpt4all?
- scaling-book: Very active. gpt4all: 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 scaling-book and gpt4all?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: scaling-book trust report; gpt4all trust report.