Hacker News with Generative AI: Data Visualization

Display any CSV file as a searchable, filterable, pretty HTML table (github.com/derekeder)
Display any CSV (comma separated values) file as a searchable, filterable, pretty HTML table.
Animated Factorization (2012) (datapointed.net)
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Show HN: Bricks – One Click Dashboards from Your Data Using AI (thebricks.com)
Show HN: Visualization of job openings by US based employers (jobswithgpt.com)
<h1> Job openings for US companies </h1>
Show HN: Buckaroo – Data table UI for Notebooks (github.com/paddymul)
Buckaroo is a modern data table for Jupyter that expedites the most common exploratory data analysis tasks.
Gas Power Plant Tracker (halcyon.io)
Years ago as a young-ish analyst I learned an important thing about building meaningful information products: they require both a supply push and a demand pull in order to really work.
Show HN: Litelytics – A nice GA4 dashboard (better Looker Studio) (litelytics.io)
A user-friendly interface that makes Google Analytics 4 easy to navigate and understand. No setup required, just login and start exploring your data.
Visualizing Foursquare Places with ClickHouse (clickhouse.com)
Recently, we had an all-company offsite, where most of our company gathered together. I always use this event to organize a hackathon. This time, it was a data visualization hackathon with simple rules: you have two hours, you take a dataset and make a nice demo on top of it with ClickHouse. I also participated in this hackathon, and here is what I've made
Dataspex: Browse Clojure data (including databases) in Firefox/Chrome devtools (youtube.com)
The Em Dash Conspiracy: More and More of Reddit Is from LLMs (github.com/v4nn4)
This chart tracks em dash (—) usage across tech and startup subreddits over the past year, a stylistic marker often found in AI-generated writing.
Show HN: A site that tracks how positively terms are discussed on Reddit (sentiment-index.github.io)
We track sentiment across thousands of Reddit posts to show you how opinions change over time.
Make music from GitHub contribution graphs (ayitey.me)
Generate Graph
Visualizations that show how true "based on a true story" movies are (informationisbeautiful.net)
A series of info visualizations that show how true “based on a true story” Hollywood movies actually are. Selma & The Big Short top the list with Hacksaw Ridge & The Imitation Game bringing up the rear.
The True Size Of (thetruesize.com)
Show HN: Real-time 4/20 cannabis sales dashboard using Estuary and Tinybird (headset.io)
Real-time cannabis intelligence from the industry's most trusted data partner.
Show HN: Parqv – Interactive TUI Parquet Visualizer (github.com/sanspareilsmyn)
parqv is a Python-based interactive TUI (Text User Interface) tool designed to explore, analyze, and understand Parquet files directly within your terminal. Forget juggling multiple commands; parqv provides a unified, visual experience.
Four charts sum up the state of AI and energy (technologyreview.com)
While it’s rare to look at the news without finding some headline related to AI and energy, a lot of us are stuck waving our hands when it comes to what it all means.
Fundamental Development Gap Map v1.0 (gap-map.org)
Welcome! This is a new web portal by the team at Convergent Research that we built out with the help of scientists and researchers in our ecosystem to explore the landscape of R&D gaps holding back science and the bridge-scale fundamental development efforts that might allow humanity to solve them.
Observable Canvases (observablehq.com)
Today we’re excited to announce a breakthrough in data collaboration: Observable Canvases.
Introduction to Scientific Visualization with Blender (surf-visualization.github.io)
These pages form the main online content for the two modules of the course Introduction to Scientific Visualization with Blender. In this course you will learn how to use the 3D rendering and animation package Blender for creating images and animations from (scientific) data.
Show HN: Stadium Crowd Scale Visualise Large Groups of People (davkap92.github.io)
Visualize large numbers of people using 100,000-person capacity stadiums
Apache ECharts + Leaflet + shadcn for data viz (evidence.dev)
Charts.css (chartscss.org)
Charts.css is a modern CSS framework. It uses CSS utility classes to style HTML elements as charts.
Chartjunk (wikipedia.org)
Chartjunk consists of all visual elements in charts and graphs that are not necessary to comprehend the information represented on the graph, or that distract the viewer from this information.[1][2][3]
Visualizing a Million Time Series with the Density Line Chart (arxiv.org)
Data analysts often need to work with multiple series of data---conventionally shown as line charts---at once. Few visual representations allow analysts to view many lines simultaneously without becoming overwhelming or cluttered. In this paper, we introduce the DenseLines technique to calculate a discrete density representation of time series.
Using LLM to Generate Data for D3.js Force Directed Graph (FDG) (medium.com)
D3.js force-directed graph is a type of visualization created using D3.js JavaScript library. This type of graph is commonly used to represent relationships between objects in network, such as social networks, communication network or dependencies.
Apache ECharts (apache.org)
📣 Apache ECharts 5.6 is out! See what's new
This Bench Does Not Exist (openbenches.org)
A StyleGAN3 generated image based on 25,000 photos from OpenBenches.
154M lives and counting: 5 charts reveal the power of vaccines (nature.com)
Vaccines have made several deadly diseases a thing of the past.
12 Graphs That Explain the State of AI in 2025 (ieee.org)
If you read the news about AI, you may feel bombarded with conflicting messages: AI is booming. AI is a bubble. AI’s current techniques and architectures will keep producing breakthroughs. AI is on an unsustainable path and needs radical new ideas. AI is going to take your job. AI is mostly good for turning your family photos into Studio Ghibli-style animated images.