
Sip
Just Color Picker
ColorSlurp
Instant Eyedropper
ColorSnapper
gcolor2
macOS
gpick
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Sip
PlotlySip is recommended for professionals and teams who handle multiple applications daily and are looking for a way to streamline their task management and communication efforts. It is particularly beneficial for remote workers, project managers, and anyone aiming to improve their digital workflow efficiency.
Plotly 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.
Based on our record, Plotly should be more popular than Sip. It has been mentiond 34 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 few apps that are a joy to use: https://ia.net/writer for writing. https://usecontrast.com/ for checking contrast. https://sipapp.io/ for picking colors. https://nova.app/ for editing code. https://cleanshot.com/ for screenshots. https://getpixelsnap.com/ for measuring elements on screen. https://netnewswire.com/ for reading things via RSS. https://panic.com/transmit/ for file transfers. https://usefathom.com/... - Source: Hacker News / over 2 years ago
I used to use Sip http://sipapp.io/ until it pegged my cpu @ 100% a couple of times so I uninstalled it lol. Source: over 3 years ago
There are tons and tons of small utilities that are great for developers such as Sip, TextSniper, ProxyMan, RapidAPI etc. Source: over 3 years ago
Sip https://sipapp.io/ --> System Color Picker https://apps.apple.com/us/app/system-color-picker/id1545870783?mt=12. Source: almost 4 years ago
Hyperkey+I to access my color picker (I use Sip). Source: almost 4 years ago
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
Just Color Picker - Free portable colour picker and colour editor for web designers, photographers, graphic designers and digital artists. Supports Windows and macOS.
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.
ColorSlurp - Pick, edit, save, and copy colors. The best color picker in the universe!
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Instant Eyedropper - Identifying the color code of an object on the screen is usually an involved, multistep process:...
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.