Skip to main content

Interactive system-monitor and process viewer for all NVIDIA Jetson [Orin, Xavier, Nano, TX] series - Cordatus Edition

Project description

jetson-stats

jetson-stats

PyPI - Downloads PyPI version PyPI - Python Version PyPI - Format GitHub jetson-stats Docker Image Size (tag) Docker Pulls CI & CD CodeQL

Twitter Follow robo.panther Join our Discord

jetson-stats is a package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series.

jetson-stats is a powerful tool to analyze your board, you can use with a stand alone application with jtop or import in your python script, the main features are:

  • Decode hardware, architecture, L4T and NVIDIA Jetpack
  • Monitoring, CPU, GPU, Memory, Engines, fan
  • Control NVP model, fan speed, jetson_clocks
  • Importable in a python script
  • Dockerizable in a container
  • Do not need super user
  • Tested on many different hardware configurations
  • Works with all NVIDIA Jetpack

Install

Cordatus JTop Service Edition

This is a custom fork maintained by Cordatus. Install with pip:

pip install cordatus-jtop-service==4.3.2.5

IMPORTANT: After installation, you must run the setup script to install the systemd service:

sudo cordatus-jtop-setup

Don't forget to logout/login or reboot your board for group permissions to take effect

Original jetson-stats

The original jetson-stats can be installed with pip, but need superuser:

sudo pip3 install -U jetson-stats

Don't forget to logout/login or reboot your board

🚀 That's it! 🚀

Run

Start jtop it's pretty simple just write jtop!

jtop

A simple interface will appear on your terminal, more capabilities are documented at jtop page.

jtop

Library

You can use jtop such a python library to integrate in your software

from jtop import jtop

with jtop() as jetson:
    # jetson.ok() will provide the proper update frequency
    while jetson.ok():
        # Read tegra stats
        print(jetson.stats)

You can also use jtop with your virualenv!

More information available at advanced usage page.

Docker

You can run directly in Docker jtop, you need only to:

  1. Install jetson-stats on your host
  2. Install jetson-stats on your container as well
  3. Pass to your container /run/jtop.sock:/run/jtop.sock

You can try running this command

docker run --rm -it -v /run/jtop.sock:/run/jtop.sock rbonghi/jetson_stats:latest

More information available at docker documentation page.

Sponsorship

If your company benefits from this library, please consider 💖 sponsoring its development.

Documentation

jetson-stats has usage and reference documentation at https://rnext.it/jetson_stats, there is also a 🆘 troubleshooting page.

Community

jetson-stats has a community Discord channel for asking questions and collaborating with other contributors. Drop by and say hello 👋

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cordatus_jtop_service-4.3.2.8.tar.gz (126.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cordatus_jtop_service-4.3.2.8-py3-none-any.whl (162.6 kB view details)

Uploaded Python 3

File details

Details for the file cordatus_jtop_service-4.3.2.8.tar.gz.

File metadata

  • Download URL: cordatus_jtop_service-4.3.2.8.tar.gz
  • Upload date:
  • Size: 126.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for cordatus_jtop_service-4.3.2.8.tar.gz
Algorithm Hash digest
SHA256 ed430ba7c54f1d695d814b497560180ec25d27e61d163b0379d6094d9e6ae363
MD5 f8ee5c7bf2bcbe76816a5f0da62493f9
BLAKE2b-256 cdca79ae84602ef1d7d506b8509c8ddd5cb2ed7b3a67390087b45f1ac908eb89

See more details on using hashes here.

File details

Details for the file cordatus_jtop_service-4.3.2.8-py3-none-any.whl.

File metadata

File hashes

Hashes for cordatus_jtop_service-4.3.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 7651386017134a419737acebdbc5dfea887e4faf2f392cf88b7ee79e6e4d147d
MD5 fb4a189a9bce09f51178050899152542
BLAKE2b-256 3ec18ea4ad2e79c754864b7f0c9d242623e4b36aed85100c96f8d93161b1a799

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page