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Introduction to AVNI

Jupyter Notebook Tutorials

AVNI stands for Analysis and Visualization toolkit for plaNetary Inferences. The following notebooks describe three major types of workflows that have utulized AVNI:

  1. Data

    • Identify data outliers
  2. Model

    • Identify data outliers
    • Identify data outliers
  3. Inferences

    • Identify data outliers
    • Identify data outliers

More About AVNI

AVNI is a software ecosystem for analyzing and interpreting planetary models and data sets that were initially designed or the three-dimensional reference Earth model project REM3D. The codes are primary written in Python with interfaces to legacy routines in C and Fortran. Some installation files as well as applets and API access require registration on the AVNI Homepage below.

ReadTheDocs: avni.globalseismology.org

Source code: github

Requests/Bug Reports: issues

Contact: [email protected]

Frequently Asked Questions: FAQ

A core team maintains the public repository and releases versions after benchmarking; if you do not see activity on Github, that does not mean improvements or bug fixes are not underway! We provide APIs that interface with heavy, legacy codes hosted our servers so that AVNI installation remains light to serve various applications. Contact the AVNI team at [email protected] with any questions or suggestions.

License: GPL v3 PyPI version PyPI - Python Version

License

This software is published under the GNU GPL v3 license - see the LICENSE file for details. Please write to [email protected] or see our FAQs for additional clarifications.

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