Comparison
disco-diffusion vs LLMs-from-scratch
Verdict
Pick disco-diffusion when tags unique to disco-diffusion: jupyter notebook; pick LLMs-from-scratch when tags unique to LLMs-from-scratch: deep-learning, ai, artificial-intelligence, attention-mechanism.
Markdown twin · disco-diffusion alternatives · LLMs-from-scratch alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | disco-diffusion | LLMs-from-scratch |
|---|---|---|
| Maintenance | Dormant (1098d since push) As of today · github_public_v1 | Steady (38d 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
- disco-diffusion
- disco-diffusion
- LLMs-from-scratch
- Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Stars
- disco-diffusion
- 7.4k
- LLMs-from-scratch
- 99k
Forks
- disco-diffusion
- 1.1k
- LLMs-from-scratch
- 15k
Open issues
- disco-diffusion
- 72
- LLMs-from-scratch
- 4
Language
- disco-diffusion
- Jupyter Notebook
- LLMs-from-scratch
- Jupyter Notebook
Adopt for
- disco-diffusion
- -
- LLMs-from-scratch
- LLMs-from-scratch is a project-oriented repository aimed at building PyTorch-based language models from the ground up, with detailed step-by-step instructions.
Persona
- disco-diffusion
- -
- LLMs-from-scratch
- -
Runtime
- disco-diffusion
- -
- LLMs-from-scratch
- -
License
- disco-diffusion
- Other
- LLMs-from-scratch
- Other
Last pushed
- disco-diffusion
- Jul 9, 2023
- LLMs-from-scratch
- Jun 2, 2026
Categories
- disco-diffusion
- LLM Frameworks, Model Training, Speech & Audio
- LLMs-from-scratch
- LLM Frameworks, Model Training
Trust and health
Maintenance
- disco-diffusion
- Dormant (18%)
- LLMs-from-scratch
- Steady (60%)
Days since push
- disco-diffusion
- 1098d
- LLMs-from-scratch
- 38d
Open issues (now)
- disco-diffusion
- 72
- LLMs-from-scratch
- 4
Owner type
- disco-diffusion
- Organization
- LLMs-from-scratch
- User
Full report
- disco-diffusion
- Trust report
- LLMs-from-scratch
- Trust report
Choose disco-diffusion if…
- Tags unique to disco-diffusion: jupyter notebook.
- Also covers Speech & Audio.
When NOT to use disco-diffusion
- Last GitHub push was 1098 days ago (dormant maintenance, Jul 9, 2023). Validate activity before betting a new project on disco-diffusion.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose LLMs-from-scratch if…
- Tags unique to LLMs-from-scratch: deep-learning, ai, artificial-intelligence, attention-mechanism.
- - You are an advanced practitioner aiming to fully understand the underpinnings of LLMs using PyTorch as your primary framework.
- More GitHub stars (99k vs 7.4k) - visibility, not fit.
When NOT to use LLMs-from-scratch
- - If you are looking for a rapid deployment of an LLM without understanding its intricate structure - this tool requires extensive manual and conceptual work.
- - You prefer frameworks with automatic model generation or other high-level abstractions that simplify the process. This repository emphasizes manual creation, which is more time-consuming but offers丰
- a deeper learning experience.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alembics/disco-diffusion) · observed Jul 11, 2026
- GitHub forks (alembics/disco-diffusion) · observed Jul 11, 2026
- Last push (alembics/disco-diffusion) · observed Jul 9, 2023
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rasbt/LLMs-from-scratch) · observed Jul 11, 2026
- GitHub forks (rasbt/LLMs-from-scratch) · observed Jul 11, 2026
- Last push (rasbt/LLMs-from-scratch) · observed Jun 2, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: disco-diffusion 7.4k · LLMs-from-scratch 99k (synced Jul 11, 2026).
Common questions
- What is the difference between disco-diffusion and LLMs-from-scratch?
- disco-diffusion: disco-diffusion. LLMs-from-scratch: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step. See the comparison table for live GitHub stats and shared categories.
- When should I choose disco-diffusion over LLMs-from-scratch?
- Choose disco-diffusion over LLMs-from-scratch when Tags unique to disco-diffusion: jupyter notebook; Also covers Speech & Audio.
- When should I choose LLMs-from-scratch over disco-diffusion?
- Choose LLMs-from-scratch over disco-diffusion when Tags unique to LLMs-from-scratch: deep-learning, ai, artificial-intelligence, attention-mechanism; - You are an advanced practitioner aiming to fully understand the underpinnings of LLMs using PyTorch as your primary framework; More GitHub stars (99k vs 7.4k) - visibility, not fit.
- When should I avoid disco-diffusion?
- Last GitHub push was 1098 days ago (dormant maintenance, Jul 9, 2023). Validate activity before betting a new project on disco-diffusion. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid LLMs-from-scratch?
- - If you are looking for a rapid deployment of an LLM without understanding its intricate structure - this tool requires extensive manual and conceptual work. - You prefer frameworks with automatic model generation or other high-level abstractions that simplify the process. This repository emphasizes manual creation, which is more time-consuming but offers丰 a deeper learning experience.
- Is disco-diffusion or LLMs-from-scratch more popular on GitHub?
- LLMs-from-scratch has more GitHub stars (98,899 vs 7,404). Stars measure visibility, not whether either tool fits your constraints.
- Are disco-diffusion and LLMs-from-scratch open source?
- Yes - both are open-source projects on GitHub (disco-diffusion: Other, LLMs-from-scratch: Other).
- Where can I find alternatives to disco-diffusion or LLMs-from-scratch?
- GraphCanon lists graph-backed alternatives at disco-diffusion alternatives and LLMs-from-scratch alternatives (disco-diffusion markdown twin, LLMs-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, disco-diffusion or LLMs-from-scratch?
- disco-diffusion: Dormant. LLMs-from-scratch: Steady. 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 disco-diffusion and LLMs-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: disco-diffusion trust report; LLMs-from-scratch trust report.