Kickstarter
Indiegogo
Patreon
Charitable
Give
FreeFunder
Revv Online Fundraising Platform
GiveForms
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.
Plotly might be a bit more popular than Kickstarter. We know about 34 links to it since March 2021 and only 23 links to Kickstarter. 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.
Hello everyone! Could you just quick look on our project on kickstarter.com. We are trying to reach goal. Every view and like is necessary for us. We are committed to delivering exceptional, sustainably sourced dried meat snacks that satisfy our customers' cravings for wholesome, flavorful, and convenient options.Our customers are health-conscious consumers, outdoor enthusiasts, individuals seeking... Source: about 3 years ago
Hi, not sure if I'm doing something wrong, but your link redirects to kickstarter.com. How did you target your IG ads? Source: over 3 years ago
But unfortunately I just realized that I don't have an kickstarter.com account. Is this normal? I think so, just checked my mails. Source: almost 4 years ago
Crowdfunding website similar to kickstarter.com. A LOT OF WORK even with offshore contractors. Source: almost 4 years ago
For inspiration, you'll be amazed how many great decks are available—at a fraction of Tarot prices. Check out rareplayingcards.com and ellusionist.com and even kickstarter.com for new campaigns. There's also a Reddit: r/playingcards worth seeing. And incredible range of themes & designs are available. 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 / 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
Indiegogo - As the largest global site for fundraisers, Indiegogo helps individuals, groups and non-profits raise money online to make their ideas a reality through crowdfunding. It's easy to start fundraising today.
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.
Patreon - Patreon enables fans to give ongoing support to their favorite creators.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Charitable - A WordPress donation plugin that gives you full control over your fundraising experience.
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.