
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Sunnyside
I Am Sober
Less
Reframe
DrinkControl
Zero Percent
AlcoList
Less Drinks
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 Sunnyside. 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.
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 / 6 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 / almost 2 years 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 use the HAMS method. I reduced from 14-18 units a day to 7. Then I tappered down to 6 for a couple of weeks then 5 for a couple of weeks and so and so forth until I could go one day being AF. It works. Try it. I use sunnyside.co to keep myself accountable. It is worth the money. Source: over 3 years ago
I have been tracking for a few weeks now and definitely having less hangovers and even lost weight while still being able to enjoy alcohol which is a nice bonus especially with summer and beach bod season :P https://www.sunnyside.co/blog/alcohol-calories from Sunnyside.co. Source: about 4 years ago
Since there weren't great tools out there for tracking drinks without a bunch of pressure to reduce to zero, I built a tool called Sunnyside (https://sunnyside.co) to help me keep tabs on when and how much I was consuming. The tool focuses on contextualizing changes to drinking habits in overall picture of health, with a specific focus on calories, sleep, and money saved. Source: about 4 years ago
I;ve been using sunnyside.co to help, but I like the idea of dry june! Source: over 4 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.
I Am Sober - I Am Sober is an app which comes with the different module, and it is one of the most celebrity application used in America.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Less - Less extends CSS with dynamic behavior such as variables, mixins, operations and functions. Less runs on both the server-side (with Node. js and Rhino) or client-side (modern browsers only).
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.
Reframe - Neuroscience approach to drinking less or quitting alcohol