D3.js
Chart.js
Highcharts
Plotly
Google Charts
AnyChart
RAWGraphs
CanvasJS
PrePitch
Second Nature AI
Quantified.ai
PitchMonster
CareerSofia
Gitomer Learning Academy
LemCoach
Refract for Sales
D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.
D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3โs functional style allows code reuse through a diverse collection of official and community-developed modules.
PrePitch is AI sales training built specifically for door-to-door reps. Instead of scripts and videos, reps practice live conversations against an AI homeowner that behaves like the real thing: it brushes you off, says "talk to my spouse," questions whether you are legit, and shuts the door on weak pitches.
Every session ends with a scored breakdown across opener, objection handling, rapport, urgency, and closing discipline, plus the exact moment the door was lost and what a top rep would have said instead. Reps can rerun the same objection until the comeback is automatic.
Built for solar, roofing, pest control, alarm, and window sales teams. The demo is free and takes 2 minutes with no signup. Most reps score in the 40s on their first door.
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Based on our record, D3.js seems to be more popular. It has been mentiond 175 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A third option for building stripes is a vector pattern employing D3. - Source: dev.to / 5 months ago
Libraries like D3.js (ISC license) and Chart.js (MIT license) render to SVG because charts need to be sharp at any zoom level and interactive โ tooltips on hover, clickable segments, animated transitions. A chart exported as PNG loses all of that. - Source: dev.to / 5 months ago
This is exactly the goal of the project-graph-generator project: scanning your sources to deduce a dependency graph and produce a simple HTML page using D3.js to display it. - Source: dev.to / 5 months ago
If you wanted to take this one step further, you could instead export the data and build an entire app around it using something like ApexCharts or D3 to create more interactive visualisations. You could even build a dashboard that tracks your performance over time across multiple races. Lots of interesting possibilities here as the data set is pretty rich. I highly recommend checking out the pyrox-client... - Source: dev.to / 5 months ago
That idea stuck with me: build the algorithm in a language where rendering the data structure is easy, then step through the construction visually. JavaScript and D3.js are a natural fit: the algorithm produces a tree, and D3 is very good at drawing trees. - Source: dev.to / 5 months ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
Second Nature AI - Training that is enjoyable.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
Quantified.ai - The AI-Driven Flight Simulator for Sellers
Plotly - Low-Code Data Apps
PitchMonster - AI sales role-play with instant coaching โ reps practice real conversations before every real call. 27+ languages.