Comparison
LLMs-from-scratch vs semantic-router
Verdict
Pick LLMs-from-scratch when lLMs-from-scratch is primarily Jupyter Notebook; semantic-router is Go; pick semantic-router when semantic-router is primarily Go; LLMs-from-scratch is Jupyter Notebook.
Markdown twin · LLMs-from-scratch alternatives · semantic-router alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | LLMs-from-scratch | semantic-router |
|---|---|---|
| Maintenance | Steady (38d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No MCP manifest As of 1d · mcp_manifest |
Tagline
- LLMs-from-scratch
- Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
- semantic-router
- System level intelligent runtime for Mixture-of-Models across edge, data center and cloud
Stars
- LLMs-from-scratch
- 99k
- semantic-router
- 4.9k
Forks
- LLMs-from-scratch
- 15k
- semantic-router
- 745
Open issues
- LLMs-from-scratch
- 4
- semantic-router
- 214
Language
- LLMs-from-scratch
- Jupyter Notebook
- semantic-router
- Go
Adopt for
- 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.
- semantic-router
- -
Persona
- LLMs-from-scratch
- -
- semantic-router
- -
Runtime
- LLMs-from-scratch
- -
- semantic-router
- -
License
- LLMs-from-scratch
- Other
- semantic-router
- Apache-2.0
Last pushed
- LLMs-from-scratch
- Jun 2, 2026
- semantic-router
- Jul 11, 2026
Categories
- LLMs-from-scratch
- LLM Frameworks, Model Training
- semantic-router
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- LLMs-from-scratch
- Steady (60%)
- semantic-router
- Very active (96%)
Days since push
- LLMs-from-scratch
- 38d
- semantic-router
- 0d
Open issues (now)
- LLMs-from-scratch
- 4
- semantic-router
- 214
Owner type
- LLMs-from-scratch
- User
- semantic-router
- Organization
Security scan
- LLMs-from-scratch
- No lockfile
- semantic-router
- No MCP manifest
Full report
- LLMs-from-scratch
- Trust report
- semantic-router
- Trust report
Choose LLMs-from-scratch if…
- LLMs-from-scratch is primarily Jupyter Notebook; semantic-router is Go.
- License: LLMs-from-scratch is Other, semantic-router is Apache-2.0.
- Tags unique to LLMs-from-scratch: ai, artificial-intelligence, attention mechanism, deep-learning.
- - You are an advanced practitioner aiming to fully understand the underpinnings of LLMs using PyTorch as your primary framework.
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.
Choose semantic-router if…
- semantic-router is primarily Go; LLMs-from-scratch is Jupyter Notebook.
- License: semantic-router is Apache-2.0, LLMs-from-scratch is Other.
- Tags unique to semantic-router: ai-gateway, bert-classification, fine-tuning, golang.
- Also covers Inference & Serving.
When NOT to use semantic-router
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (vllm-project/semantic-router) · observed Jul 11, 2026
- GitHub forks (vllm-project/semantic-router) · observed Jul 11, 2026
- Last push (vllm-project/semantic-router) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LLMs-from-scratch 99k · semantic-router 4.9k (synced Jul 11, 2026).
Common questions
- What is the difference between LLMs-from-scratch and semantic-router?
- LLMs-from-scratch: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step. semantic-router: System level intelligent runtime for Mixture-of-Models across edge, data center and cloud. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLMs-from-scratch over semantic-router?
- Choose LLMs-from-scratch over semantic-router when LLMs-from-scratch is primarily Jupyter Notebook; semantic-router is Go; License: LLMs-from-scratch is Other, semantic-router is Apache-2.0; Tags unique to LLMs-from-scratch: ai, artificial-intelligence, attention mechanism, deep-learning; - You are an advanced practitioner aiming to fully understand the underpinnings of LLMs using PyTorch as your primary framework.
- When should I choose semantic-router over LLMs-from-scratch?
- Choose semantic-router over LLMs-from-scratch when semantic-router is primarily Go; LLMs-from-scratch is Jupyter Notebook; License: semantic-router is Apache-2.0, LLMs-from-scratch is Other; Tags unique to semantic-router: ai-gateway, bert-classification, fine-tuning, golang; Also covers Inference & Serving.
- 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.
- When should I avoid semantic-router?
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. 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.
- Is LLMs-from-scratch or semantic-router more popular on GitHub?
- LLMs-from-scratch has more GitHub stars (98,899 vs 4,916). Stars measure visibility, not whether either tool fits your constraints.
- Are LLMs-from-scratch and semantic-router open source?
- Yes - both are open-source projects on GitHub (LLMs-from-scratch: Other, semantic-router: Apache-2.0).
- Where can I find alternatives to LLMs-from-scratch or semantic-router?
- GraphCanon lists graph-backed alternatives at LLMs-from-scratch alternatives and semantic-router alternatives (LLMs-from-scratch markdown twin, semantic-router 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, LLMs-from-scratch or semantic-router?
- LLMs-from-scratch: Steady. semantic-router: Very 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 LLMs-from-scratch and semantic-router?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLMs-from-scratch trust report; semantic-router trust report.