
DASH
Bitcoin
Monero
Litecoin
Ethereum
Dogecoin
zsh
Cardano
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
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 DASH. 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.
Only problem I have with this promotion of Dash is that the 'Dash is Digital Cash' got snowed under with all the references to dash.org and there is also a very very short time to understand why Dash is Digital Cash. Source: over 3 years ago
All these reasons led me to develop this open source project. I chose Dash because honestly I was blown away after trying it. - Source: dev.to / about 4 years ago
1 : Misleading title (there is no actual security breach at dash.org). Source: over 4 years ago
Please see my post history here on reddit and on the dash.org forum. Much has already been written on the subject. Source: over 4 years ago
During Ryan's tenure at Dash, he has managed to rid the official website https://dash.org/ of any mention of the word privacy or PrivateSend, our brand. Not content with that, he took it a step further and single handedly made the decision to de-brand PrivateSend from the wallets, the codebase and the Dash documentation. This was a decision not consulted with the network, merely relayed to 'us' as important and... Source: over 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 / 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
Bitcoin - Bitcoin is an innovative payment network and a new kind of money.
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.
Monero - Monero is a secure, private, untraceable currency. It is open-source and freely available to all.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Litecoin - Litecoin is a peer-to-peer Internet currency that enables instant payments to anyone in the world.
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.