Here's a visualization of global winds and precipitations on September 1st, 2019 (when [Hurricane Dorian](https://tinyurl.com/y3jewqqt) was hovering over the Bahamas, off the coast of Florida).

* Created in Python (using Matplotlib, NetCDF4, Scipy and Numpy modules)
* Public wind and precipitation data from the [NCEP/NCAR Reanalysis](https://tinyurl.com/y6mfqr6f)
* Wind particles colored according to speed (using Matplotlib "inferno" colormap)
* Rain particles scattered according to the precipitation rate

The seamless-loop effect was achieved by periodically spawning the particles at their initial location on a time range greater than the animation, and subsampling this time range before export. This effect was further enhanced by fading each particle's color to black at their birth and death, and using the "Additive" opacity in Sketchfab material settings to hide black points.

*PS: for Python enthusiasts, I've uploaded a [script to preview point cloud animations locally](https://tinyurl.com/yhyuuqev) !*

A Windy Day

Trying out some remeshing scipts in blender/python on body scans! These ones come from the collection [Codame Labs] from @codame - all licensed under CC-attribution. As usual, feel free to re-use for nearly anything, and go check [my growing collection of free assets](https://skfb.ly/6yQSW) ;)

[There are more!](https://skfb.ly/6zqCE)

Each model is made of 1500 triangles, and has its origin located on the ground plane. Obviously, scans with multiple people have a lower precision.

I removed the textures to keep the faces as flat shaded, as this is the step I'm currently thinking about: geometry.
In particular, how to keep the characters nose - otherwise the face feels too flat - while remeshing in my (automated) workflow.

This could be done by specifying, with just one manual intervention (but not automated anymore!), the face as a zone of higher resolution and giving this input as a metric to [mmgs](http://mmgtools.org). Will think about it...

More to come soon as I make progress and if I feel inspired!

WIP - Lowpoly People - 1

A by-product of working with the [OpenData repository of the city of Paris](https://opendata.paris.fr/explore/?sort=modified): here **public lights** (bottom layer, orange-ish) and **trees** (top layer, multicolor).

Both datasets have an information on the objects height, which were superimposed to a Digital Elevation Model of Paris, interpolated in python from [**SRTM** data](https://www2.jpl.nasa.gov/srtm/) (Z-scale overly exagerated). The lights were colored according to their light temperature (available in the dataset), while the 25 most common kinds of trees were colored by species.

The resulting point cloud gives pretty interesting patterns (some of which I've annotated), especially in cemeteries and on the biggest streets. Too bad most of the public parks don't have associated tree data...

And if you don't know it already, I'd definitely advise French speakers to listen at this nicely related song by Maxime Le Forestier: [Comme un arbre](https://www.youtube.com/watch?v=clDxk0Wh--4).

Trees of Paris

Global map of seismic events for the years 2010 and 2011 ([animation here](https://skfb.ly/6Mn8Y)). 

Here are some interesting events/features, clearly visible on this visualization:

* March 2011 earthquake in Tohoku, Japan (see this [3D model](https://skfb.ly/6GULX))
* [February 2010 earthquake in Chile](https://en.wikipedia.org/wiki/2010_Chile_earthquake)
* Seismic activity in the [Tonga-Kermadec](https://en.wikipedia.org/wiki/Tonga-Kermadec_Ridge) subduction system, the most "active" on earth (East of Australia)
* [Seismic activity in the Scotia Arc](http://earthjay.com/earthquakes/20160819_sandwich/civile_etal_2012_tectonics_scotia.pdf), where continents want to emerge (East of southern Chile)
* The fine [USGS](https://www.usgs.gov/) monitoring on the US west-coast, in Hawaii and in the Aleutian Trench (North Pacific), where even the smallest events (purple) are recorded.

Seismic data comes from the [Earthquake Catalog](https://earthquake.usgs.gov/fdsnws/event/1/), and was processed in Python.

Earthquakes - 2010 & 2011

After The God Particle...

Going on with some tests for the animation of an underwater scene, this time playing with particle system and forces in blender (with which I am not very familiar). 

The particle system I used to create this shoal of fish is set with a simple fish model (same as [Abstract aquarium](https://skfb.ly/6ypzL)) as render object. 

The fish particle system was set to a "**Boids**" physics, and tweaking parameters gave the unique fish a smooth movement. A **vortex force field** was then added to the scene to create the swirling motion on the particles. I also added a collision domain (as a cube) to make sure that no fish went outside of a specified volume, but it proved unnecessary...

I still have to figure out how to properly export keyframed animations to a fbx file, as the only file I managed to obtain was a 120MB one (for a < 100 tris fish model). A python script which has helped me is [here](https://blender.stackexchange.com/a/7142), but it does not pass the export phase very well...

The Fish Particle

Repositorio de modelos 3D de Ddiaz Design

![](https://hips.hearstapps.com/hmg-prod/images/2023-911-gt3rs-monterey-show-car-046-1660914611.jpg)

Announced shortly after the reveal of the 992-generation 911 GT3 RS, the “Tribute To Carrera RS” package was introduced as a limited-production version that celebrates Porsche’s motorsport heritage. The special edition Porsche comes finished from the factory in a head-turning gloss white and bright Python Green race livery, specifically honoring the classic 1973 Porsche 911 Carrera RS 2.7

Instagram del proyecto: https://www.instagram.com/ddiaz.design/

Paypal Donations: https://paypal.me/sergiodd

Based on a CSR2 3d model

Credits: https://www.facebook.com/p/GM25-100042237200164/

2023 Porsche 911 GT3 RS 2.7 Carrera Tribute 992

I used python and blender to precisely position (units are [parsecs](https://en.wikipedia.org/wiki/Parsec)!) 10000 stars from the [HYG Database](https://github.com/astronexus/HYG-Database). 

The star-planes are randomly rotated though, and keep in mind that the center icosphere representing the earth is exaggeratingly big - by a small factor of about 1.5 billion!!

The (short and ugly) bit of python script I used to make this visualization is available on [PasteBin](https://pastebin.com/0vhdGz59) if anyone is interested!

I am quite happy with the look of this model, stars use a transparent/emissive material mapped to the vertex colors created in blender (from each star "color index" if available in the database), and enhanced with some bloom to create halos... 

Next ideas: plot 100.000 neighbor stars, and maybe the Milky Way from ESA's [Gaia Archive](http://gea.esac.esa.int/archive/). That'd be really awesome!

Music: [Brethren, Arise](http://goo.gl/YmnOAx) by Chris Zabriskie from YouTube Audio Library.

Our corner of universe

The Tōhoku earthquake (9.1 magnitude) hit Japan on March 11, 2011 for a duration of 5 minutes, and was followed by a tsunami which claimed the life of close to 16.000 people.  

The seismic events shown took place on that same day, between 01h41 and 23h59 (GMT). At 0.5X animation speed, 1 second of animation = 1 hour in real time.

The main earthquake happened at 05h46 (1:80 mark in the animation), and slowing down the animation speed to 0.1X or keeping manual control around this event should allow you to better understand the aftershocks propagation.

Data:

* Topography and bathymetry: [Etopo1 Global Relief Model](https://www.ngdc.noaa.gov/mgg/global/global.html)
* Earthquakes: [ANSS Comprehensive Earthquake Catalog](https://earthquake.usgs.gov/data/comcat/)
* Fault plane: [Slab2:  A Comprehensive Subduction Zone Geometry Model](https://doi.org/10.5066/F7PV6JNV)

Created with python and blender ( and love :) )

*NEXT: add focal mechanisms, better metadata, funkier colormaps and superimpose historical maps?*

Tōhoku earthquake - 2011

The neon LED sign is acting as an animated texture.  The texture isn't actually animated, but rather it is cycling through several textures and putting the live one in front of the others at the right time.  The frame is just a low-poly blackish material so to be game-ready.

The kanji is: 居酒屋 = Eating/drinking pub “izakaya” (Japanese language)

If you are using this for a game, probably just pick one of the textures if you don't want to animate it.

Music is synthwave generated in FL Studio 12.

The entire model and animation was generated via Python scripting in Blender 2.82.

Enjoy!

Cyberpunk animated japanese LED neon sign

Here's a visualization of 688 exoplanets from [NASA's exoplanet catalog](https://go.nasa.gov/2y0sll0) (which contains 4152 exoplanets as of April 28th, 2020), done with Python and Blender.

**Disclaimer:** I filtered the exoplanets according to parameters of interest ("only" kept 688), and spent some time recomputing parameters (such as surface gravity or temperature) while re-learning some "basic" black-body radiation and orbital mechanics equations, before mapping the resulting parameters to positions and textures in Blender. The values in this visualization are therefore approximations (and should not be used for interstellar navigation &#128517;).

I would advise you to visit the [NASA website dedicated to exoplanets](https://exoplanets.nasa.gov/) to learn more about methods linked to exoplanets detection.

And why not listen to one of those two extraordinary covers of "Life On Mars" from David Bowie while doing so ?

* [Aurora](https://youtu.be/kJ095S0MmnA)
* [Seu Jorge](https://youtu.be/M05dpNBFTE0)

Exoplanets

Visualization of global oceanic currents, averaged on the month of September 2019.

* Created in Python (using Matplotlib, NetCDF4, Scipy and Numpy modules)
* Public ocean data from the [NCEP Global Ocean Data Assimilation System (GODAS)](https://www.esrl.noaa.gov/psd/data/gridded/data.godas.html)
* Particles colored according to speed (using the “bone” colormap in Matplotlib)

If you are curious, [here](https://skfb.ly/6OGwB) is a similar model made by using similar tools and data, showing an animation of the winds and precipitation on September 1st, 2019.

Oceanic Currents

Original CT information courtesy of Dr. Tobias Schwarz <br>
Adapted and prepared by [Brian Mather](https://sketchfab.com/brian.mather), <br>
The Royal (Dick) School of Veterinary Studies, <br>
The University of Edinburgh<br>

Royal Python (Python regus)

The Abstract Art using Python langauge to generate wireframe of paradox concept in blender. Adjust color by post light and Node ColorRamp Shader.

Department of Digital Creative Design.
College of Creative Design and Entertainment Technology, Dhurakij Pundit University, Thailand.

Paradox Abstract Art of Python

Much music, such Wow (turn the sound on) !

This visualization is based on the song **"I heard it through the grapevine"** interpreted by **Creedence Clearwater Revival** (originally from Marvin Gaye).

In a few (technical) words, I analyzed the sample through some Discrete Fourier Transforms, and linked the resulting spectrogram to shapekeys matching frequencies in Blender through Python. I'll probably play around some more with similar concepts in the coming weeks, and will try to share some scripts !

Here are a few bonus links:

* [Original song](https://youtu.be/sH34uhiVX9U)
* [Audacity](http://audacityteam.org)
* [Easy read to understand FFT](https://bit.ly/2w8DjDn)
* [Python Matplotlib spectrogram function](https://bit.ly/2TgEfha)
* [Python wave library](https://bit.ly/2HUjiDx)
* [Cell Fracture Addon](https://bit.ly/2HVuC27)

And some plots / screenshots: 

![](https://i.imgur.com/pmMsDzE.png)

![](https://i.imgur.com/60XsZgB.jpg)

Through the Grapevine

"Mokyo Night Walker"

Short 4k visual art animation using this point cloud is available for viewing/download here: https://www.youtube.com/watch?v=j_4D_oiJFQQ
Scan made with colmap using frames extracted from a video walk located at these coordinates:  https://youtu.be/uxTXXhBCl-Y?t=1646 
All geometry wrangling, animation and rendering performed with Houdini.  Special thanks to Ben at SideFX for directly inspiring this upload :)

Special thanks to Nippon Wandering TV for creating and publishing many wonderful walks for us to enjoy as time and space permit.  :)

Sea U Soon,
-Alan/Organic

This signal was analyzed by Organic.  
Additional data may be found here: 
https://www.instagram.com/p/CEjHJW9Hrwr/

Tools used: youtube-dl, ffmpeg, python, colmap, houdini, blender

https://artbyorganic.com

nippon_wandering_tokyo_nights_001_10m_pts

119613 stars from the [HYG Database](https://github.com/astronexus/HYG-Database), positionned and colored by parsing the csv file in python, and creating a .ply file containing position and color information. The short python code I used is available on [Pastebin](https://pastebin.com/gsPLR2EJ).

I should still have a look at ESA's [Gaia Archive](http://gea.esac.esa.int/archive/), to map parts of the Milky Way!

119613 stars

This Python is a unique 3D creation made with Blender. With its innovative curves and empty modifier tab, this Python allows for easy and precise control when posing. It does not require a rig, making it the perfect choice for creating custom poses. With this Python, you can extend the length of this snake with ease. Whether you're a beginner or an experienced creator, this 3D creation is sure to take your creations to the next level.

Python

A LiDAR landscape of the key archaeological features around Stonehenge including Stonehenge itself, The Avenue, the Cursus and numerous barrow burial mounds. The 1 metre LiDAR is only partial at Stonehenge with many of the sites to the west not included in the current opendata coverage. This is a digital terrain model version which represents the bare ground surface only so prominent buildings, trees and even the stones of the Stonehenge circles are stripped off in this case. 

Created using 1 metre DTM LiDAR opendata provided by the Environment Agency. Built in QGIS using the QGIS2threeJS plugin.

Thanks to Mike Gill of the Avon Valley Archaeological Society for the python code which converts QGIS models into a format compatible with Sketchfab.

Best viewed full screen and in HD (see options at bottom of model view). Feel free to share on various media, download, or embed on your website using the embed code.

Stonehenge LiDAR Archaeology Landscape

Apollo, Rome, 150 CE, marble, restored in 1790 CE. Ny Carlsberg Glyptotek (Copenhagen, Denamrk). Made with ReMake and ReCap from AutoDesk.

The god Apollo is standing with his lyre. The holy snake, python, is wound around the tree trunk on which is written, in Greek:"Apollonios made it."

For more updates, please follow @GeoffreyMarchal on Twitter.

Apollo

This represents a fusion of art and code. The butterfly is modeled using reference tracing and animated entirely using a Python Script in Blender (Shape Keys + Math Functions).

⚠️ IMPORTANT NOTE: Since the animation is driven by a script, it will not play in the Sketchfab viewer.

👉 To see the animation:

Download the .blend file.

Open it in Blender.

Press Space (Play) to watch the procedural flight animation.

Technical Details:

Method: Python Scripting (No rigging/bones)

Technique: Sine wave math functions controlling Shape Keys.

Mesh: Custom traced from reference.

Feel free to download and inspect the code!

Procedural Butterfly_Download to View Animation

Beyond manual sculpting: this is pure computational topology. 
This model is the direct, deterministic 3D output of the Polytopic Archetypal Projection Protocol (PAPP).
The Origin: The mathematical seed is the "Flower of Life", the fundamental matrix of sacred geometry based on overlapping circles with hexagonal symmetry. Its 2D ratios were extracted and fed into our "algebraic transducer".
The Pipeline: The algorithm processed these constants via Continued Fractions and Pythagorean reductions, mapping the data onto a Fibonacci lattice in a 4D hypersphere ($S^3$). 
Finally, the space was projected into 3D via a Hopf fibration ($S^3 \rightarrow S^2$).
The Result (V309): The mathematical coherence of the Flower of Life does not produce chaotic noise. 
It forces the system to naturally collapse into a dense, highly interconnected, and topologically closed ($\chi=2$) spatial lattice. 
An architecture of pure algebraic mechanics.
Procedurally generated via the PAPP Framework (Python/SciPy/NetworkX).

Flower of Life V309 | PAPP Generative Topology

Magnum revolver 356 Python

Beyond standard 3D modeling: this is a fully immersive mathematical environment.
This model is the deterministic 3D projection of the dual compound of two regular 4D polytopes—the 600-cell and the 120-cell.
The Math: Coordinates were generated natively in 4D ($S^3$) and projected down to our 3D space ($S^2$) via a rigorous Hopf fibration mapping using the PAPP framework.
The Experience: This is NOT a simple wireframe. 
The algorithm explicitly generated the dense network of overlapping faces. It was specifically engineered to trigger a "DMT kaleidoscope" visual effect.
How to view it: Do not just look at the exterior. Zoom all the way INSIDE the object and pan your camera. 
The extreme 4D symmetry and intersecting shells create an infinite, shifting fractal-like environment. 
Pure algebraic mechanics translated into a hyper-dimensional optical experience.
Procedurally generated via PAPP Framework (Python/SciPy).

4D Dual Compound: 600-Cell & 120-Cell | DMT

A clean revolver inspired by the iconic Python .375 Magnum. Comes with reload and shot animations.

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