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Plotly VS Piktochart

Compare Plotly VS Piktochart and see what are their differences

Modelence
Create production-ready applications with zero code featured
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

Piktochart logo Piktochart

Piktochart for Business Storytelling
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Piktochart Landing page
    Landing page //
    2022-11-10

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.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Piktochart features and specs

  • Maps
    Chloropleth

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    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.

Analysis of Piktochart

Overall verdict

  • Piktochart is generally considered a good choice for those who need to create visually appealing graphics without requiring advanced graphic design skills. It is appreciated for its ease of use, comprehensive features, and the ability to produce high-quality content quickly.

Why this product is good

  • Piktochart is a versatile online tool designed for creating engaging infographics, presentations, and reports. It is favored for its user-friendly interface, which allows individuals with little to no graphic design experience to create professional-quality visuals. It offers a variety of customizable templates, icons, and images to make the design process simple and efficient. Additionally, Piktochart supports collaboration, making it optimal for teams working together on projects.

Recommended for

    Piktochart is recommended for educators, marketers, small businesses, and non-profit organizations that need to communicate information effectively through visual content. It is also suitable for individuals looking to create professional presentations, reports, or infographics for personal or professional projects.

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Piktochart videos

+ Add

Review: Using Piktochart in the Classroom (great for Infographics!)

More videos:

  • Review - Canva vs. Piktochart
  • Tutorial - Piktochart Tutorial: A Simple Guide to Piktochart for Beginners

Category Popularity

0-100% (relative to Plotly and Piktochart)

Plotly

Piktochart

Data Visualization
100 100%
Data Visualization
0% 0
Design Tools
0 0%
Design Tools
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Graphic Design Software
0 0%
Graphic Design Software
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and Piktochart

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Piktochart Reviews

The Top 10 Alternatives to Marq in 2024
While each of these design tools offers unique features and benefits, Piktochart stands out for its AI-powered capabilities and ease of use. Whether you're a business, educator, or marketer, Piktochart can help you transform complex data into visually appealing content effortlessly. If you're looking for a reliable alternative that combines advanced features with...
Source: piktochart.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Piktochart. 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    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 / 4 months ago
  • Python for Data Visualization: Best Tools and Practices
    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
  • Generative AI Powered QnA & Visualization Chatbot
    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
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
View more

Piktochart mentions (4)

  • 9 Best Tools to Make Infographics in 2023
    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 / almost 3 years ago
  • Ask HN: Who is hiring? (October 2021)
    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 / almost 5 years ago
  • Content & Community- A Cheatsheet for Open Source projects. ( Part 1: Content ๐ŸŽจ)
    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 / over 5 years ago
  • Bugsโ€Œ โ€Œfoundโ€Œ โ€Œinโ€Œ Piktochart SaaS. โ€ŒBugโ€Œ โ€ŒCrawlโ€Œ
    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: over 5 years ago

What are some alternatives?

When comparing Plotly and Piktochart, you can also consider the following products

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.

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.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

PicMonkey - PicMonkey is a feature-rich online photo editor that works right in your browser; no downloads...

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.

Marq - Marq (formerly Lucidpress) is a web-based design and layout application that enables anyone to create beautiful creatives

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