Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
Best matched with other inference tools.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Best matched with other inference tools.
llm-course has the larger GitHub footprint with 83.3K stars.
llm-course is currently growing faster at +929 stars this week.
Kimi K3 In C has the stronger automated maintenance signal at 64/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Kimi K3 In C | llm-course |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:18 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 7.2K | 83.3K |
| Weekly growth | +282 | +929 |
| Health score | Healthy64/100 | Watch50/100 |
| Contributors | 10 | 3 |
| Commits per week | 4.9 | 0.0 |
| Open issues | 14 | 92 |
| Language | C | N/A |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 2026-08-26 07:36 UTC | 2026-02-05 13:09 UTC |
| Last release | v1.0.0 | N/A |
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