asitop is a terminal hardware monitor for Apple Silicon Macs, with separate views of CPU, GPU and Apple Neural Engine activity. Its README targets Apple Silicon on macOS Monterey; hardware-counter availability can differ on newer macOS releases. It runs locally and suits people who want to watch hardware use during demanding workloads, including local AI inference. It's free and open source under the MIT license.
The display separates the CPU's efficiency and performance clusters and reports their utilization and frequency alongside GPU activity. It also shows RAM and swap capacity and usage, so you can check memory pressure while watching processor load. Neural Engine activity is inferred from its power consumption.
CPU and GPU power charts show how consumption changes over time, with peak readings and rolling averages. These give you a way to compare sustained workloads with brief spikes rather than relying on a single reading. The interface takes inspiration from nvtop, but targets Apple's hardware.
Written in Python, asitop draws on macOS's built-in powermetrics utility and has a small performance footprint. Access to those hardware counters requires administrator privileges. Some reference values, including CPU and GPU power limits and maximum Neural Engine power, are hardcoded estimates rather than measurements reported by the system.
Claim this page and we'll verify you by hand. asitop gets the verified badge, and you can upgrade the listing to be featured on localhosted. Proud to be listed? Put our badge on your site.
Want more people to find asitop?Promote it
Something wrong or outdated on this page?
2.3KUpdated 1 day agoMPL-2.0
macOS · Windows · Linux · Docker#Agent Skills#Batch processing#Multi-user access
dstack is a self-hosted orchestration tool for AI teams managing compute across GPU clouds and their own servers. It puts cluster management, training jobs and model inference behind one interface, so teams can use different providers and accelerators without maintaining a separate workflow for each environment. It's open source under the Mozilla Public License 2.0.
223Updated 16 hours agoApache-2.0
macOS · Linux#GGUF#Git integration#Guardrails
1.9KUpdated 2 months agoMIT
macOS
macmon is a local system monitor for Apple Silicon Macs that reads hardware performance data without administrator privileges. It's for people checking resource use during local AI workloads or other demanding tasks, and developers who need those measurements in their own tools. It runs on macOS and supports M1 through M5 chips.
11KUpdated 3 days ago
macOS · Windows · Linux · Docker
nvtop is a terminal monitor that shows activity across multiple GPUs and accelerators in an interface familiar to htop users. It's useful for people running local LLM workloads or managing compute servers who want to see which processes are using their hardware and how much GPU memory they consume. It runs locally on Linux and is open source under GPLv3 or later.
5.1KUpdated 20 hours agoApache-2.0
#Batch processing#Distributed execution#LoRA
6.9KUpdated 2 days agoApache-2.0
Docker · Web#Code execution#Git integration#Multi-user access
LLMKube is a free, open-source Kubernetes operator for teams and homelab owners running local LLM inference across their own hardware. It manages Linux GPU servers and Apple Silicon Macs together, so a mixed fleet can serve models through the same platform. It uses the Apache 2.0 license.
AIBrix is open-source infrastructure for teams serving large language models on their own Kubernetes clusters. It focuses on the work around inference: directing requests, scaling capacity and managing models across servers. Enterprise infrastructure teams can use its components to build a self-hosted model service. It's licensed under Apache 2.0.
ClearML is an MLOps suite for recording experiments, managing datasets and running ML workloads. Its Apache 2.0 Python SDK connects to a ClearML Server, available as a hosted service or open-source software you deploy yourself. ClearML Agent handles job orchestration and reproducibility.