How fast justincasey/dgx-top is gaining stars, and where it lands on Trendshift and GitHub Trending
Activity and trending
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Nov 6 – Nov 13, 2026
Stars +14in 8 days
051015
11
Forks +1in 8 days
01
1
Merged PRs 7in 8 days
024
4
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
Nov 6Nov 7Nov 8Nov 9Nov 10Nov 11Nov 12Nov 13
The left and right arrow keys step from day to day; Home and End go to the first and the last
Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day
Stars gained
Forks gained
Merged PRs
Fri, Nov 6, 2026
+0
+0
0
Sat, Nov 7, 2026
+2
+1
4
Sun, Nov 8, 2026
+11
+0
1
Mon, Nov 9, 2026
+0
+0
0
Tue, Nov 10, 2026
+0
+0
1
Wed, Nov 11, 2026
+0
+0
1
Thu, Nov 12, 2026
+0
+0
0
Fri, Nov 13, 2026
+1
+0
0
Total
+14
+1
7
1#1 on the list
7Rank that day
Not trending
Social mentions
Recent discussions about this repository across the web
1 post
Just added dgx-top to my 4× DGX Spark setup. Prefill/decode tok/s, KV cache, request queues, GPU stats and RoCE traffic—all in one terminal. Runs on my router over SSH, with no agents installed on…
Read-only dashboard and rack panel for NVIDIA DGX Spark-class nodes, other NVIDIA GPU Linux machines and Apple Silicon Macs running vLLM, SGLang, TensorFold, llama.cpp, bloomery, NVIDIA Flare, Strata or oMLX
Plug-and-play, dependency-free web command center for DGX Spark fleets (and any GPU boxes): live per-node GPU/CPU/mem/temps/power, optional RouterOS switch monitoring, and per-model decode/prefill/TTFT/KV cards. Point it at your own hardware.
Browser-based model and inference management for NVIDIA DGX Spark - inventory local and Hugging Face models, manage Ollama and LiteLLM, generate Docker Compose deployments for vLLM, SGLang, llama.cpp, LocalAI, and ComfyUI, with multi-user access, diagnostics, and multi-node support.
