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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

DataPicta is an online application designed to help users create engaging and understandable data visualizations effortlessly. It caters to individuals seeking to convert their datasets into visual charts without the need for programming skills or complicated software interfaces. Users can simply input their data, choose the type of chart they wish to create, customize the visual style, and publish their work in just a few minutes. The application accommodates a diverse array of chart types, including basic lines and bars, as well as more complex visualizations like maps, scatter plots, and heatmaps. Each chart is designed to be interactive and responsive, providing smooth hover effects and tooltips that enhance the viewer's experience when examining the data. It offers various map options, including global, regional, and country outlines, facilitating the visualization of geographic trends and patterns effectively. Charts generated with DataPicta can be easily shared via a link or integrated into any website using a simple iframe element. They benefit from fast loading times, as they are served through Amazon CloudFront’s extensive global network. Built on AWS, DataPicta ensures dependable service and consistent performance for all users. Best of all, the platform is completely free, making it accessible for anyone looking to enhance their data storytelling without incurring costs. Additionally, its user-friendly interface encourages creativity and exploration in data presentation.

Description

Positioning tooltips and popovers can be quite challenging, but that's where Popper comes into play! This tool takes an element, like a button, along with a corresponding tooltip element, and ensures that the tooltip is automatically placed in the optimal position adjacent to the button. Popper is adept at positioning any UI component that extends out from the regular document flow, hovering beside a target element. While tooltips are the most frequently encountered use case, Popper also accommodates popovers, drop-down menus, and various other similar elements, all of which can be collectively referred to as "popper" elements. To utilize this feature, simply click on the dots to select from 12 distinct placement options for your tooltip. It's important to note that pure CSS poppers may overflow and get clipped by boundaries like the viewport, which can lead to them being partially obscured or extending beyond the edge due to the absence of dynamic positioning logic. By incorporating Popper into your project, you can rest assured that your popper will consistently be placed accurately, eliminating the need for any manual adjustments, thus streamlining your UI design process. With this functionality, you can create a more user-friendly interface that enhances the overall experience.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Angular No 
NG-Bootstrap No 
React No 
jQuery No 

Integrations

Angular Yes 
NG-Bootstrap Yes 
React Yes 
jQuery Yes 

Pricing Details

$29/user/month
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DataPicta

Founded

2026

Country

The Netherlands

Website

www.datapicta.com

Vendor Details

Company Name

Popper

Country

United States

Website

popper.js.org

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Product Features

Alternatives

Alternatives

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Highcharts

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