Ticket Tailor
Eventbrite
Cvent
Splash
Picatic
DoubleDutch
Ticketbud
Attendize Event Ticketing
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Three reasons to choose Ticket Tailor to sell your tickets online:
1. Low, fair and simple fees:
Ticket Tailor only charges a small flat fee per ticket and offers charity discounts.
2. Exceptional support:
24/7 customer support with an average response time of less than 2 minutes, means there is always someone on hand to help.
3. Easy-to-use:
No technical or ticketing skills required, the product is designed to be intuitive for first-time users and feature-rich enough for ticketing experts.
Features and benefits
With Ticket Tailor low fees and simplicity does not come at the expense of a ticketing platform packed with advanced and handy features to meet the needs of even the most complex of events.
And more...
With every ticket sold on Ticket Tailor we commit to donate 1p/1.3c to climate charities. We are also a carbon-neutral business.
Have more questions? Contact us at hi@tickettailor.com.
Ticket Tailor
PlotlyTicket Tailor is recommended for small to medium-sized event organizers, community groups, non-profits, and anyone looking to host events without excessive ticketing fees. It's particularly suitable for those who value simplicity and affordability in ticketing solutions.
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 seems to be more popular. 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
Eventbrite - Discover Great Events or Create Your Own & Sell Tickets
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.
Cvent - Cvent's event management software provides event planners with a complete solution to increase event attendance and decrease event costs.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Splash - Anyone can create a Splash event, whether you're a company hosting a single event or an individual hosting a personal event like a birthday or wedding. Get Started for Free. Text goes here. X. Full Event Program.
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.