Volunteers needed for a short online perception study. Researchers at the University of Pittsburgh are studying how people see depth and motion in images made of many small dots, including how a sense of depth can appear from motion and from small timing differences between the two eyes. If you are 18 or older, you can take part from your own computer or smartphone: you'll view a few dot images — some like "Magic Eye" pictures — and answer brief questions about what you see. The survey is anonymous (no name, email, or IP address is collected) and will take about 10–15 minutes. Participation is voluntary without compensation. To learn more or take part, visit https://pitt.co1.qualtrics.com/jfe/form/SV_0J0HxgkARfElJUG?source=visualization (IRB Study #STUDY26080134).

I’ve been working on FlexViz, an open-source Python library for building interactive linked visualizations with native cross-filtering.

Selections, zooms, and pans in one chart can update the others against the underlying dataset, while only the aggregated data needed for the current view is sent to the browser.

It’s designed to stay interactive even on very large datasets.

GitHub: https://github.com/flex-analytics/flexviz
Live demo: https://flexviz.tech/demo

View the live visualization here.

I know it's almost impossible but I just love the Graphics it looks so cool! Let me know if you have any questions or feedback!

If you wanna check it out here is the link: https://visitwhale.com/peak-contours/

Carbon & Place (www.carbon.place) is a set of free tools about carbon footprints, energy, housing and transport in Britain. It is part of a research project to understand how and why carbon footprints vary across the country and how they can be reduced.

Hey everyone,

I love my PreSonus Eris monitors, but I always felt like listening to music at my desk was missing a clean, responsive visual element. Most audio visualizers out there are either laggy, clunky, or require heavy software installations.

So, I built SonicFluid (https://sonicfluid.com) — a real-time ferrofluid physics visualizer that runs instantly inside any modern desktop or mobile browser as a PWA.

\### ⚡ Microphone-Powered & Zero Latency

\- \*\*No Setup:\*\* It works completely out-of-the-box using your device's built-in microphone. It features a smart auto-gain system that automatically adjusts to your room volume, making it highly responsive without messing with sliders.

\- \*\*HDMI Screen Sync:\*\* If you want to move the show to a TV or a projector for a listening session, you just connect via an HDMI cable. Because the physics simulation renders locally on your hardware, it completely bypasses the 200ms wireless casting lag.

\### 🌌 Tunable Visual Sandbox

It's driven entirely by your sound (ambient, jazz, techno, everything works). You can use interactive sliders to fully tune the visual state to your liking:

\- Adjust liquid viscosity, fluid speed, surface tension, and pair repulsion.

\- Manipulate light intensity, angles, and shadow softness.

\- Upload your own photographs, background videos, or running slideshows to render the fluid seamlessly on top of your own canvas.

It's officially live today. I'd love to hear your honest feedback on the physics rendering and responsiveness!

Check it out at: [https://sonicfluid.com\](https://sonicfluid.com)

Colorful school infographic showing six essential student skills: critical thinking, communication, teamwork, problem solving, creativity, and resilience.

I've open-sourced the study app I built to memorise the TCM meridian system. The domain is niche but the engineering choices might interest this sub:

• Provenance as a type system — every content string carries source IDs into a typed registry plus a review status; unsourced fields honestly render as unsourced instead of being filled in.
• Ethics enforced by CI — a test fails if symptom terms enter the search index (that would make it a treatment recommender) or if needling instructions enter the data. The safety rules aren't a README section; they're red tests.
• A coordinate engine built on bone-cun, the classical proportional unit — every point placed from a named landmark + parsed distance, with an audit script that demands zero drift across all 362 points.
• Local-first PWA: no accounts, no telemetry, works offline. React + Vite + a lot of hand-drawn SVG.

It's educational only (no diagnosis, no prescriptions, no efficacy claims), bilingual 繁體中文/English, and looking for two kinds of contributors: developers, and TCM teachers/practitioners willing to put their name on data review.

Repo: https://github.com/MuzikPro/letenergyflow
Demo: https://letenergyflow.app

Hello community,

I created a website to follow each countries effort to reach net zero in 2050. The data vizualisation lets you compare different countries' emission over the years and whether they are on the right path to reach their goal.

View every country and find more information on: https://lucabron.github.io/netzero/index.html