ashhart/TensorFold
Position in GitHub’s trending lists for this Zig project, facts from the GitHub API and the README, and the star history this site has recorded since it was first seen.
Collected
LLM Inference Engine for Metal, CUDA and Vulkan.
First paragraph of the README
TensorFold serves language models from a Zig binary on Apple Silicon and NVIDIA GPUs. The engine reads checkpoints, tokenizes requests and runs Metal or CUDA kernels directly. Serving needs no Python or MLX installation.
Install command found in the README
npm install -g github:ashhart/ATCWhere it is trending
| List | Position | Stars gained |
|---|---|---|
| All languages, today | #7 | +54 today |
Star history recorded by this site
One reading per day since Nov 12, 2026, the first day this repository was seen in a trending list. A chart is drawn once three days have been recorded.
- 2,017+104
- 1,913
Read the full article in Portuguese on NovidadesIA
Days on the daily trending list
Taken from the daily archive of this site: only the days our collector read GitHub’s list. A day that is not here may simply not have been read.
Add this badge to your README
A small static image that shows the best position this repository reached in the lists we recorded. It links to this page and carries no tracking.
[](https://githubtrending.today/repo/ashhart/TensorFold)The image is drawn when this site is built, so it shows the best position recorded up to then.
README
from the repository ashhart/TensorFold on GitHub. Open the original README
Loading the README…
Positions, star totals and “stars gained” are the ones GitHub published, read at Nov 13, 2026, 06:57 UTC. The README paragraph and the install command are copied automatically and are not reviewed.
Source: github.com/trending · updated
More lists to explore
The same data cut by period, programming language and subject.
By period
By language, today
By subject
Questions and answers
More detail on the method page.
How many stars does ashhart/TensorFold have?
2,017 stars and 397 forks when GitHub’s trending page was read on Nov 13, 2026, 06:57 UTC. GitHub reported 54 new stars for the period of the list it appears in.
What is ashhart/TensorFold written in, and under which license?
GitHub classifies it as Zig. Its license, as reported by the GitHub API, is Apache-2.0.
How do I install ashhart/TensorFold?
Its README gives this command: npm install -g github:ashhart/ATC. It is copied automatically; check the repository before running it.