Skip to main content

No project description provided

Project description

Website   •   Feature documentation   •   Cite our paper   •   Join the slack  

SpinView is a general interactive visual analysis tool developped for multiscale computational magnetism that allow users with interdisciplinary backgrounds to simplified thier own workflow, speeds up analysis of complex datasets and trajectories, and enables new types of analysis.

The key features are:

  • User friendly: Enjoy the combination of Command-line-interface, WebUI and DesktopUI
  • Post-processing: Denoising, Clip, Rescaling, try the visual exploration and data mining with SpinView!
  • Feature-rich 3D visualization: Visualize your simulation result with glyphs, e.g., sphere, cone, arrow, plane, box, and any 3D models generated by yourself. Overlap everything including recontructed mesh and isosurface.
  • Extendable: Currently support .out (UppASD), Non-binary .ovf (Mumax3, OOMMF, Spirit), and .data (Vampire) output files and can easiy extend to other magnetic simulation code.
  • Shareable: Take snapshoot, rendering a trajectory video, make a protable interactive HTML file with only one click!
  • Community support: Open-source (GPL V3) and free to use, based on Python, Pandas, Numpy, Scipy, Trame, and Pyvista.

Installation

1. Installing SpinView with conda virtual environment.

  • To install miniconda please follow the instructions here.

  • To install Anaconda please follow the instructions here.

2. Create a new conda environment for SpinView using the following command:

$ conda create -n spinview python=3.9

3. Install SpinView using the following command:

$ conda activate spinview

$ pip install spinview

Note that user in China mainland may need to add a pip source to make sure you can easily download all packages. (add -i https://pypi.tuna.tsinghua.edu.cn/simple)

$ pip install spinview -i https://pypi.tuna.tsinghua.edu.cn/simple

4. launch SpinView in simulation folder under auto mode using the following command:

To take advantage of auto parser module, please make sure you are in the simulation folder, e.g., cd simulation_folder

$ spinview start

or you can give the absolute path of the simulation folder

$ spinview start -wp abs_path_of_simulation_folder

Note: it will be a little bit slow from cold start, please wait for a while.

Question and Contributing:

We are happy to answer any questions you may have. SpinView also welcomes any contributions and collaboration to make it better. Please feel free to contact us via email or Slack.

More information can be find in our Website.

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

spinview-1.0.1.tar.gz (330.0 kB view details)

Uploaded Source

Built Distribution

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

spinview-1.0.1-py3-none-any.whl (111.3 kB view details)

Uploaded Python 3

File details

Details for the file spinview-1.0.1.tar.gz.

File metadata

  • Download URL: spinview-1.0.1.tar.gz
  • Upload date:
  • Size: 330.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.9.0 Windows/10

File hashes

Hashes for spinview-1.0.1.tar.gz
Algorithm Hash digest
SHA256 e4d00a31a51b927e50440b5349a5005267e05204cbd4ce78176c01effaaee297
MD5 786268b135f1c3e48c0e57a31cec43df
BLAKE2b-256 0b92af61c181008102e85b302b72747d5ea6710eaee976710e0e9050c95de046

See more details on using hashes here.

File details

Details for the file spinview-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: spinview-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 111.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.9.0 Windows/10

File hashes

Hashes for spinview-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 eaec88fa6a1ca879b9bb2ff3ee1a21fadcfb2e95ffce526f186c8babd75e4c95
MD5 804252cfe590b9bf1ad276392771fee7
BLAKE2b-256 20f17d9e9695913730b3a11870ba36424954a409f86a36f2b6bc41ab297e721a

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