lavavu

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A scientific visualisation tool with a python interface for fast and flexible visual analysis.

Documentation available here LavaVu Documentation

examplevis

LavaVu development is supported by ACCESS-NRI. Prior development was funded by the Monash Immersive Visualisation Plaform at Monash eResearch and the Simulation, Analysis & Modelling component of the NCRIS AuScope capability.

The acronym stands for: lightweight, automatable visualisation and analysis viewing utility, but "lava" is also a reference to its primary application as a viewer for geophysical simulations. It was also chosen to be unique enough to find the repository with google.

The project started as a replacement rendering library for the gLucifer¹ framework, visualising geodynamics simulations. The new OpenGL visualisation code was re-implemented as a more general purpose visualisation tool. gLucifer continues as a set of sampling tools for Underworld simulations as part of the Underworld2 code. LavaVu provides the rendering library for creating 2d and 3d visualisations to view this sampled data, inline within interactive Jupyter notebooks and offline through saved visualisation databases and images/movies.

As a standalone tool it is a scriptable 3D visualisation tool capable of producing publication quality high res images and video output from time varying data sets along with HTML5 3D visualisations in WebGL. Rendering features include correctly and efficiently rendering large numbers of opaque and transparent points and surfaces and volume rendering by GPU ray-marching. There are also features for drawing vector fields and tracers (streamlines).

Control is via python and a set of simple verbose scripting commands along with mouse/keyboard interaction. GUI components can be generated for use from a web browser via the python "control" module and a built in web server.

Widgets for interactive use in the Jupyter notebook environment allow use for remote visualisation, eg: on supercomputing environments.

A native data format called GLDB is used to store and visualisations in a compact single file, using SQLite for storage and fast loading. A small number of other data formats are supported for import (OBJ surfaces, TIFF stacks etc). Further data import formats are supported with python scripts, with the numpy interface allowing rapid loading and manipulation of data.

This repository

This is the public source code repository for all development on the project. Development happens in the "master" branch with stable releases tagged, so if you just check out master, be aware that things can be unstable or broken from time to time.

How do I get set up?

It's now in the python package index, so you can install with pip:

python -m pip install lavavu

Currently binary wheels are provided for Linux x86_64, MacOS x86_64 and ARM64 and Windows x86_64.

To try it out:

python
> import lavavu
> lv = lavavu.Viewer() #Create a viewer
> lv.test()            #Plot some sample data
> lv.interactive()     #Open an interactive viewer window

Alternatively, clone this repository with git and build from source:

  git clone https://github.com/lavavu/LavaVu
  cd LavaVu
  python -m pip install .

  make -j4

If all goes well the viewer will be built, try running with: ./lavavu/LavaVu

Dependencies

OpenGL and Zlib, present on most systems, headers may need to be installed
To use with python requires python 3.6+ and NumPy
For video output, requires: PyAV or for built in encoding, libavcodec, libavformat, libavutil, libswscale (from FFmpeg / libav)
To build the python interface from source requires swig (http://www.swig.org/)

Who do I talk to?

Report bugs/issues here on github: https://github.com/lavavu/LavaVu/issues
Contact developer: Owen Kaluza (at) anu.edu.au

For further documentation / examples, see the online documentation

https://lavavu.github.io/Documentation

Included libraries

In order to avoid as many external dependencies as possible, the LavaVu sources include files from the following public domain or open source libraries, many thanks to the authors for making their code available!

SQLite3 https://www.sqlite.org
JSON for Modern C++ https://github.com/nlohmann/json
linalg https://github.com/sgorsten/linalg
Tiny OBJ Loader https://github.com/syoyo/tinyobjloader
LodePNG https://github.com/lvandeve/lodepng
jpeg-compressor https://github.com/richgel999/jpeg-compressor
miniz https://github.com/richgel999/miniz
GPU Cubic B-Spline Interpolation (optional) in volume shader http://www.dannyruijters.nl/cubicinterpolation/ ²
stb_image_resize http://github.com/nothings/stb

¹ Stegman, D.R., Moresi, L., Turnbull, R., Giordani, J., Sunter, P., Lo, A. and S. Quenette, gLucifer: Next Generation Visualization Framework for High performance computational geodynamics, 2008, Visual Geosciences
² Ruijters, Daniel & ter Haar Romeny, Bart & Suetens, Paul. (2008). Efficient GPU-Based Texture Interpolation using Uniform B-Splines. J. Graphics Tools. 13. 61-69.

Release files for lavavu 1.9.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lavavu 1.9.10
File	Size	Uploaded
lavavu-1.9.10.tar.gz	3.3 MB	Jul 22, 2025	Details

Built distributions (wheels)

Table of built distributions (wheels) for lavavu 1.9.10
File	Interpreter	ABI	Platform	Reset
lavavu-1.9.10-cp313-cp313-win_amd64.whl 30.0 MB Jul 22, 2025	CPython 3.13	CPython 3.13	Windows x86-64	Details
lavavu-1.9.10-cp313-cp313-manylinux_2_28_x86_64.whl 21.1 MB Jul 22, 2025	CPython 3.13	CPython 3.13	Linux glibc 2.28+ x86-64	Details
lavavu-1.9.10-cp313-cp313-macosx_11_0_arm64.whl 1.9 MB Jul 22, 2025	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
lavavu-1.9.10-cp313-cp313-macosx_10_13_x86_64.whl 1.9 MB Jul 22, 2025	CPython 3.13	CPython 3.13	macOS 10.13+ x86-64	Details
lavavu-1.9.10-cp312-cp312-win_amd64.whl 30.0 MB Jul 22, 2025	CPython 3.12	CPython 3.12	Windows x86-64	Details
lavavu-1.9.10-cp312-cp312-manylinux_2_28_x86_64.whl 21.1 MB Jul 22, 2025	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64	Details
lavavu-1.9.10-cp312-cp312-macosx_11_0_arm64.whl 1.9 MB Jul 22, 2025	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
lavavu-1.9.10-cp312-cp312-macosx_10_13_x86_64.whl 1.9 MB Jul 22, 2025	CPython 3.12	CPython 3.12	macOS 10.13+ x86-64	Details
lavavu-1.9.10-cp311-cp311-win_amd64.whl 30.0 MB Jul 22, 2025	CPython 3.11	CPython 3.11	Windows x86-64	Details
lavavu-1.9.10-cp311-cp311-manylinux_2_28_x86_64.whl 21.1 MB Jul 22, 2025	CPython 3.11	CPython 3.11	Linux glibc 2.28+ x86-64	Details
lavavu-1.9.10-cp311-cp311-macosx_11_0_arm64.whl 1.9 MB Jul 22, 2025	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
lavavu-1.9.10-cp311-cp311-macosx_10_9_x86_64.whl 1.9 MB Jul 22, 2025	CPython 3.11	CPython 3.11	macOS 10.9+ x86-64	Details
lavavu-1.9.10-cp310-cp310-win_amd64.whl 30.0 MB Jul 22, 2025	CPython 3.10	CPython 3.10	Windows x86-64	Details
lavavu-1.9.10-cp310-cp310-manylinux_2_28_x86_64.whl 21.0 MB Jul 22, 2025	CPython 3.10	CPython 3.10	Linux glibc 2.28+ x86-64	Details
lavavu-1.9.10-cp310-cp310-macosx_11_0_arm64.whl 1.9 MB Jul 22, 2025	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
lavavu-1.9.10-cp310-cp310-macosx_10_9_x86_64.whl 1.9 MB Jul 22, 2025	CPython 3.10	CPython 3.10	macOS 10.9+ x86-64	Details

Total release size:222.6 MB

Release files / lavavu-1.9.10.tar.gz

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Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

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Uploaded via	`twine/6.1.0 CPython/3.12.9`

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Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

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Release files / lavavu-1.9.10-cp313-cp313-manylinux_2_28_x86_64.whl

Download URL	lavavu-1.9.10-cp313-cp313-manylinux_2_28_x86_64.whl
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Uploaded via	`twine/6.1.0 CPython/3.12.9`

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Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

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Release files / lavavu-1.9.10-cp313-cp313-macosx_11_0_arm64.whl

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Uploaded via	`twine/6.1.0 CPython/3.12.9`

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Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

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Publishing configuration: github.com/lavavu/LavaVu/blob/5a3d81b893b6d271b6661b06a488d9243d44f10e/.github/workflows/wheel_deploy.yaml
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Release files / lavavu-1.9.10-cp313-cp313-macosx_10_13_x86_64.whl

Download URL	lavavu-1.9.10-cp313-cp313-macosx_10_13_x86_64.whl
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Uploaded via	`twine/6.1.0 CPython/3.12.9`

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Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

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Release files / lavavu-1.9.10-cp312-cp312-win_amd64.whl

Download URL	lavavu-1.9.10-cp312-cp312-win_amd64.whl
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Uploaded via	`twine/6.1.0 CPython/3.12.9`

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Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

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Release files / lavavu-1.9.10-cp312-cp312-manylinux_2_28_x86_64.whl

Download URL	lavavu-1.9.10-cp312-cp312-manylinux_2_28_x86_64.whl
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Uploaded via	`twine/6.1.0 CPython/3.12.9`

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Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

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Release files / lavavu-1.9.10-cp312-cp312-macosx_11_0_arm64.whl

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Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

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Release files / lavavu-1.9.10-cp312-cp312-macosx_10_13_x86_64.whl

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Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

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Release files / lavavu-1.9.10-cp311-cp311-win_amd64.whl

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Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

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Release files / lavavu-1.9.10-cp311-cp311-manylinux_2_28_x86_64.whl

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Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

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Artifact

Subject: lavavu-1.9.10-cp311-cp311-manylinux_2_28_x86_64.whl
SHA-256 checksum: d5f2c18de3d94434c381ad3d350916a0f27a2502d51f7c8226c5c96bb1e52170 Verifying attestations

Release files / lavavu-1.9.10-cp311-cp311-macosx_11_0_arm64.whl

Download URL	lavavu-1.9.10-cp311-cp311-macosx_11_0_arm64.whl
Size	1.9 MB
Tags	CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`e34a61ec0bae9b137dade1da531125aba237fb95267a60c27b2fbc4f61d20cd7`
BLAKE2b-256 checksum How to use checksums	`d97094c8c389ffafedd5bb8ca0ac4837212e939a96a626b1c8841f7ac6f63925`
Upload date	Jul 22, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

Workflow

Publishing configuration: github.com/lavavu/LavaVu/blob/5a3d81b893b6d271b6661b06a488d9243d44f10e/.github/workflows/wheel_deploy.yaml
Publishing logs: github.com/lavavu/LavaVu/actions/runs/16437077726/attempts/1

Artifact

Subject: lavavu-1.9.10-cp311-cp311-macosx_11_0_arm64.whl
SHA-256 checksum: e34a61ec0bae9b137dade1da531125aba237fb95267a60c27b2fbc4f61d20cd7 Verifying attestations

Release files / lavavu-1.9.10-cp311-cp311-macosx_10_9_x86_64.whl

Download URL	lavavu-1.9.10-cp311-cp311-macosx_10_9_x86_64.whl
Size	1.9 MB
Tags	CPython 3.11 macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`b01ba0f499f23232c46ec66bf11fad4b4eca87da3533ba5c6270855f2e3ce749`
BLAKE2b-256 checksum How to use checksums	`68cdd60c10d78c9de698631182d4f94f4ec7327add4bf8aa2bbc465247a9db70`
Upload date	Jul 22, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

Workflow

Publishing configuration: github.com/lavavu/LavaVu/blob/5a3d81b893b6d271b6661b06a488d9243d44f10e/.github/workflows/wheel_deploy.yaml
Publishing logs: github.com/lavavu/LavaVu/actions/runs/16437077726/attempts/1

Artifact

Subject: lavavu-1.9.10-cp311-cp311-macosx_10_9_x86_64.whl
SHA-256 checksum: b01ba0f499f23232c46ec66bf11fad4b4eca87da3533ba5c6270855f2e3ce749 Verifying attestations

Release files / lavavu-1.9.10-cp310-cp310-win_amd64.whl

Download URL	lavavu-1.9.10-cp310-cp310-win_amd64.whl
Size	30.0 MB
Tags	CPython 3.10 Windows x86-64
SHA-256 checksum How to use checksums	`021c7326fe1d7a410e8a966dfeff297a2307acb792aa36bef9fb050bfa1fe3f5`
BLAKE2b-256 checksum How to use checksums	`6ae1766f260b9b8b59fac796915bb7148f3ff8fbe1c177ed84a53fd4eba7daf2`
Upload date	Jul 22, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

Workflow

Publishing configuration: github.com/lavavu/LavaVu/blob/5a3d81b893b6d271b6661b06a488d9243d44f10e/.github/workflows/wheel_deploy.yaml
Publishing logs: github.com/lavavu/LavaVu/actions/runs/16437077726/attempts/1

Artifact

Subject: lavavu-1.9.10-cp310-cp310-win_amd64.whl
SHA-256 checksum: 021c7326fe1d7a410e8a966dfeff297a2307acb792aa36bef9fb050bfa1fe3f5 Verifying attestations

Release files / lavavu-1.9.10-cp310-cp310-manylinux_2_28_x86_64.whl

Download URL	lavavu-1.9.10-cp310-cp310-manylinux_2_28_x86_64.whl
Size	21.0 MB
Tags	CPython 3.10 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`193183b08a5306365f03290c28e53146346bf857dfb605630b8602e41af4d9da`
BLAKE2b-256 checksum How to use checksums	`02bf31f8fb0ac3564614b61857c1cdc4180ba031c0548864f4cf97d5fcefb24c`
Upload date	Jul 22, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

Workflow

Publishing configuration: github.com/lavavu/LavaVu/blob/5a3d81b893b6d271b6661b06a488d9243d44f10e/.github/workflows/wheel_deploy.yaml
Publishing logs: github.com/lavavu/LavaVu/actions/runs/16437077726/attempts/1

Artifact

Subject: lavavu-1.9.10-cp310-cp310-manylinux_2_28_x86_64.whl
SHA-256 checksum: 193183b08a5306365f03290c28e53146346bf857dfb605630b8602e41af4d9da Verifying attestations

Release files / lavavu-1.9.10-cp310-cp310-macosx_11_0_arm64.whl

Download URL	lavavu-1.9.10-cp310-cp310-macosx_11_0_arm64.whl
Size	1.9 MB
Tags	CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`fe53de4e2859ea9475423eb374f59ce5eaea044e8807f7d8f81d831ab9142600`
BLAKE2b-256 checksum How to use checksums	`c7c66080af02ec0f014e9f049c6172c1da40ff9ad20dfe91308edd31d92d73bd`
Upload date	Jul 22, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

Workflow

Publishing configuration: github.com/lavavu/LavaVu/blob/5a3d81b893b6d271b6661b06a488d9243d44f10e/.github/workflows/wheel_deploy.yaml
Publishing logs: github.com/lavavu/LavaVu/actions/runs/16437077726/attempts/1

Artifact

Subject: lavavu-1.9.10-cp310-cp310-macosx_11_0_arm64.whl
SHA-256 checksum: fe53de4e2859ea9475423eb374f59ce5eaea044e8807f7d8f81d831ab9142600 Verifying attestations

Release files / lavavu-1.9.10-cp310-cp310-macosx_10_9_x86_64.whl

Download URL	lavavu-1.9.10-cp310-cp310-macosx_10_9_x86_64.whl
Size	1.9 MB
Tags	CPython 3.10 macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`047670cec4507fa17bf665c44ecc7fd92a3c33f4e8c6236fb3ff42c28b6c80f1`
BLAKE2b-256 checksum How to use checksums	`ba32ed216134277ece7558973b9a5041e0749cc6bb952bb614739846da98a80f`
Upload date	Jul 22, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/lavavu/LavaVu
Publishing commit: github.com/lavavu/LavaVu/tree/5a3d81b893b6d271b6661b06a488d9243d44f10e

Workflow

Publishing configuration: github.com/lavavu/LavaVu/blob/5a3d81b893b6d271b6661b06a488d9243d44f10e/.github/workflows/wheel_deploy.yaml
Publishing logs: github.com/lavavu/LavaVu/actions/runs/16437077726/attempts/1

Artifact

Subject: lavavu-1.9.10-cp310-cp310-macosx_10_9_x86_64.whl
SHA-256 checksum: 047670cec4507fa17bf665c44ecc7fd92a3c33f4e8c6236fb3ff42c28b6c80f1 Verifying attestations