Piktochart
Canva
PicMonkey
Lucidpress
Adobe Photoshop
Sketch
Crello
MemeZoo
Plotly
D3.js
Chart.js
Highcharts
RAWGraphs
Google Charts
Tableau
Microsoft Power BI
Piktochart is an infographic tool to help you present your presentations, pitches, proposals, data visualizations, charts, timelines, structure, process related visuals and diagrams in a compelling way.
Piktochart PlotlyNo features have been listed yet.
Based on our record, Plotly should be more popular than Piktochart. It has been mentiond 29 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.
Piktochart: Piktochart is another powerful tool for infographic creation, offering a range of customizable templates and easy-to-use design features. It provides an intuitive interface for adding charts, maps, icons, and more. - Source: dev.to / 9 months ago
Frontend Tech Lead, Senior Frontend Developer | Remote in Europe | 4-day work week SaaS |Visual communications app https://piktochart.com/ Here's a little information about our culture. - Source: Hacker News / over 2 years ago
Picktochart - Data visualizations are always helpful when you're trying to communicate certain aspects of product usage in relation to something else. - Source: dev.to / about 3 years ago
Piktochart is a graphic design platform helping brands deliver visually appealing content. With Piktochart, one can create beautiful infographics, on-point presentations, as well as easily digestible reports. Source: about 3 years ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 12 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
Canva - Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.
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.
PicMonkey - PicMonkey is a feature-rich online photo editor that works right in your browser; no downloads...
Chart.js - Easy, object oriented client side graphs for designers and developers.
Lucidpress - Lucidpress is a web-based design and layout application that enables anyone to create beautiful...
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application