Skip to main content

An analysis and visualization toolkit for Astrophysical simulations.

Project description

Hi there! You’ve just downloaded yt, an analysis tool for astrophysical simulation datasets, generated by simulation platforms like Enzo, Orion, FLASH, Nyx, MAESTRO, ART and Ramses. It’s written in python and heavily leverages both NumPy and Matplotlib for fast arrays and visualization, respectively.

Full documentation and a user community can be found at:

http://yt-project.org/ http://yt-project.org/doc/

If you have used Python before, and are comfortable with installing packages, you should find the setup.py script fairly straightforward: simply execute “python setup.py install”.

If you would rather a more automated installation, you can use the script doc/install_script.sh . You will have to set the destination directory, and there are options available, but it should be straightforward.

In case of any problems, please email the yt-users mailing list, and if you’re interested in helping out, see the developer documentation:

http://yt-project.org/doc/advanced/developing.html

Enjoy!

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

yt-2.5.5.tar.gz (2.5 MB view details)

Uploaded Source

File details

Details for the file yt-2.5.5.tar.gz.

File metadata

  • Download URL: yt-2.5.5.tar.gz
  • Upload date:
  • Size: 2.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for yt-2.5.5.tar.gz
Algorithm Hash digest
SHA256 ef8e3cf2eb0129881077f22d96e2ed24abbc37174f6d18f528c5a4cfe18e99ad
MD5 1b497061d1b7ee0859caec1c8a1ef2e2
BLAKE2b-256 b2766c7934cb37c6b06f7353d66ef3282c7e2186a9acc45c7d4bc83649237da7

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