
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Sidekick Browser
Arc
Brave
Google Chrome
Opera
Vivaldi
Safari
Lightbeam for Firefox
Sidekick is designed for the ultimate online work experience and brings together every web tool you use. Today, anyone who works in a browser fights to stay organized. Tabs are out of control, browser windows are all over the place, and desktop apps may work on their own, but they donโt integrate well with the rest of your work on the web.
Sidekick changes all of that.
PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
The idea of a productivity based browser is great but since this browser is still new, it has trouble with a lot of things. Sometimes it doesn't open a new tab when i try, sometimes web apps don't open, and overall its not a smooth experience that i could recommend to people
Based on our record, Plotly seems to be a lot more popular than Sidekick Browser. While we know about 34 links to Plotly, we've tracked only 3 mentions of Sidekick Browser. 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.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 5 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
I've been developing frontend in-memory graph DB / state manager for 1) replication 2) incremental sync 3) fast rendering (without VDOM/react). Used in https://seesu.me & https://meetsidekick.com (where I was 1st engineer). Source: over 3 years ago
To make snapshot it takes current state of DOM, current state of styles (to capture CSS-in-JS stuff), take resources like font/images from network storage (Chrome Dev Tools protocol) and saves it as HTML on disk. I've been developing created frontend in-memory graph DB / state manager for 1) replication 2) incremental sync 3) fast rendering (without VDOM/react). Used in https://seesu.me &... Source: over 3 years ago
Https://arestov.github.io/linkkraft-notes/trails-tree-plus-offline-for-tool-for-thoughts/linkkraft-fresh-offline-spa.mp4 Across similar software ("too many tabs" solvers, snapshoters) combination of trails tree & snapshots that reinforces is unique in linkkraft. To make snapshot it takes current state of DOM, current state of styles (to capture CSSinJS stuff), take resources like font/images from network storage... - Source: Hacker News / over 3 years ago
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Arc - This new web browser is going to kill Chrome
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Brave - Fast and secure, ad and tracker blocking browser.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Google Chrome - Google Chrome is a fast, secure, and free web browser, built for the modern web. Give it a try on your desktop today.