$npx skillfedfor your agent

gpustat

An utility to monitor NVIDIA GPU status and usage

With conditionsPyPI MonitoringReleased Aug 20231.1M downloads / moMITSource build

Decision gist · record as of 2026-08-14

sdist only — gpustat-1.1.1.tar.gz · builds from source
v1.1.1 · released 2023-08-22 · Python >=3.6

Yes, if you have NVIDIA GPUs and need quick, readable GPU status monitoring. The high install friction (external driver dependency) and NVIDIA-only support are real constraints, but the tool is actively maintained, permissively licensed, and widely used (top 5000 PyPI packages). Install it only if you already have NVIDIA drivers R450.00+ installed.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires NVIDIA driver version R450.00 or higher and NVIDIA GPU hardware; will not work with AMD GPUs.
  • High install friction: requires NVIDIA driver R450.00 or higher and the nvidia-ml-py library.
  • The package itself has no runtime dependencies listed, but depends on external NVIDIA driver infrastructure.

License · maintenance · safety

MIT (permissive) — MIT license is permissive and places no restrictions on use, modification, or redistribution in commercial or private projects.

last release 2023-08-22 (1088 days) · last repo commit 2026-05-30 · 4,392 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,088,070 downloads/mo, #4,382 on PyPI

Verify before relying

pip install gpustat

gpustat

# With options:
gpustat --watch --show-cmd --show-user
  • Whether the package works correctly with the latest NVIDIA driver versions beyond R450.00.
  • Performance overhead when running with watch mode on systems with many GPUs or processes.
Same gist for agents: .md · .json

What it is and what it does

gpustat is a command-line utility that queries NVIDIA GPU status and displays it in a human-readable format. It shows GPU temperature, utilization percentage, memory usage (used/total), and a list of processes currently running on each GPU with their memory footprint. The tool is designed as a simpler, more readable alternative to nvidia-smi for quick GPU monitoring.

The package requires NVIDIA driver R450.00 or higher and uses NVIDIA's official python bindings (pynvml) to access GPU information. It supports Python 3.6 and later, offers watch mode for continuous monitoring, and can output results in JSON format. Options allow filtering by GPU index, displaying full command lines, fan speeds, power usage, and codec utilization. It is NVIDIA-only; AMD GPUs are not supported.

Use it for

  • Monitor GPU utilization and memory usage in real-time while running deep learning training jobs.
  • Identify which processes are consuming GPU memory and by how much on a shared GPU cluster.
  • Watch GPU temperature and thermal throttling during intensive compute workloads.
  • Quickly check GPU availability and status before launching CUDA applications.
  • Integrate GPU monitoring into shell scripts or monitoring dashboards via JSON output.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you have NVIDIA GPUs and need quick, readable GPU status monitoring.

The high install friction (external driver dependency) and NVIDIA-only support are real constraints, but the tool is actively maintained, permissively licensed, and widely used (top 5000 PyPI packages). Install it only if you already have NVIDIA drivers R450.00+ installed.

Install

gpustat on PyPI

Before you install

High install friction: requires NVIDIA driver R450.00 or higher and the nvidia-ml-py library. The package itself has no runtime dependencies listed, but depends on external NVIDIA driver infrastructure. Maintenance is active with recent commits and a large community (4392 stars).

Requires NVIDIA driver version R450.00 or higher and NVIDIA GPU hardware; will not work with AMD GPUs.

License in practice

MIT license is permissive and places no restrictions on use, modification, or redistribution in commercial or private projects.

Quickstart

pip install gpustat

gpustat

# With options:
gpustat --watch --show-cmd --show-user

Verify before relying

  • Whether the package works correctly with the latest NVIDIA driver versions beyond R450.00.
  • Performance overhead when running with watch mode on systems with many GPUs or processes.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.6
Install frictionHigh. Source build required
Runtime dependenciesNone
MaintenanceActively maintained 1,088 days since the last release
Last repo commit
First released
Downloads1,088,070 / month, #4,382 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableLicense :: OSI Approved :: MIT LicenseOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: System :: Monitoring

Evidence: gpustat-1.1.1.tar.gz

Tags

Capabilities
nvidia gpu monitoring cligpu memory usage viewernvidia-smi alternativegpu temperature displaycuda device status monitorgpu process listnvidia gpu stats terminal
Topics
gpu-monitoringnvidia-toolssystem-admin
PyPI keywords
nvidia-smigpucudamonitoringgpustat

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “nvidia gpu monitoring cli”

  • gpustatDisplays real-time NVIDIA GPU status, memory usage, temperature, and…
  • py3nvmlProvides Python 3 bindings to query NVIDIA GPU state and manage GPU…
  • nvgpuQueries and monitors NVIDIA GPUs on a machine, providing a CLI and…

Give your agent the search over MCP, or paste the wish link into any chat.

More Monitoring packages

tqdm Worth it
PyPI · Libraries · released Jul 2026

Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.

copyleftpure Python · 3.8+
648.6Mdownloads / mo
opentelemetry-semantic-conventions Worth it
PyPI · Monitoring · released Jul 2026

Provides generated Python code for OpenTelemetry semantic conventions, enabling standardized attribute naming and constant definitions for instrumentation and telemetry collection.

Install it if you are using OpenTelemetry and want to follow semantic conventions correctly.

Apache-2.0pure Python · 3.10+
542.9Mdownloads / mo
opentelemetry-sdk Worth it
PyPI · Monitoring · released Jul 2026

Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.

Apache-2.0pure Python · 3.10+
521.8Mdownloads / mo
opentelemetry-api With conditions
PyPI · Monitoring · released Jul 2026

Provides the abstract API and interfaces for OpenTelemetry instrumentation in Python, defining how to emit traces, metrics, and logs without tying code to a specific SDK implementation.

Apache-2.0pure Python · 3.10+
463.8Mdownloads / mo
opentelemetry-exporter-otlp-proto-http Worth it
PyPI · Monitoring · released Jul 2026

Exports OpenTelemetry observability data to an OpenTelemetry Collector using Protobuf-encoded messages over HTTP.

Install it if you are using OpenTelemetry in Python and need to send data to a Collector over HTTP.

Apache-2.0pure Python · 3.10+
409.9Mdownloads / mo
opentelemetry-instrumentation Worth it
PyPI · Monitoring · released Jul 2026

Provides automatic instrumentation commands and programmatic APIs to inject distributed tracing into Python applications without code changes, detecting and instrumenting packages used by your program.

Install it if you need distributed tracing without code changes and have compatible instrumented packages in your environment.

Apache-2.0pure Python · 3.10+
393.5Mdownloads / mo

See also egl-probe · GPUtil · nvgpu · nvitop · pyrsmi · nvidia-ml-py3 · py3nvml · nvidia-ml-py · ps-mem · nvidia-cuda-cupti