Software Alternatives, Accelerators & Startups

Plotly VS Visualis

Compare Plotly VS Visualis and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Visualis logo Visualis

Use Visual.is to create beautiful and dynamic reports, charts and dashboards.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Visualis Landing page
    Landing page //
    2019-01-02

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.

Visualis features and specs

  • User-Friendly Interface
    Visualis offers a clean and intuitive interface that makes it easy for users to create visual content without needing extensive design skills.
  • Versatile Templates
    The platform provides a variety of templates for different purposes, allowing users to quickly start and customize their projects.
  • Collaboration Features
    Visualis supports collaboration, enabling multiple users to work on the same project simultaneously, which enhances productivity in team settings.
  • Integration Capabilities
    The tool integrates well with other software and platforms, making it easier to import data and export content seamlessly.

Possible disadvantages of Visualis

  • Limited Customization Options
    While templates are versatile, there can be limitations in terms of deep customization, which may not fully satisfy advanced users.
  • Subscription Cost
    Visualis may require a subscription fee, which could be a disadvantage for budget-conscious individuals or small businesses.
  • Learning Curve for Advanced Features
    While basic features are user-friendly, mastering advanced tools and functionalities might require additional learning and training.
  • Performance Issues
    Some users may experience occasional lags or performance issues, especially when handling large, complex projects.

Plotly videos

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

Visualis videos

Meditation Review: Sri Akarshana's Visualise It and It Will Come 11 Minutes

Category Popularity

0-100% (relative to Plotly and Visualis)
Data Visualization
86 86%
14% 14
Data Dashboard
86 86%
14% 14
Charting Libraries
86 86%
14% 14
Business Intelligence
100 100%
0% 0

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 Visualis

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.
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...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’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.

Visualis Reviews

We have no reviews of Visualis yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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 (33)

  • 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 / about 1 month 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 / 3 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    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 / 5 months 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 / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

Visualis mentions (0)

We have not tracked any mentions of Visualis yet. Tracking of Visualis recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Visualis, 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.

Google Charts - Interactive charts for browsers and mobile devices.

Chart.js - Easy, object oriented client side graphs for designers and developers.

QuickChart - QuickChart is easy to use and open-source open API that makes it easy to generate chart images.

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

Image Charts - No more pain rendering charts server-side.