Software Alternatives, Accelerators & Startups

Plotly VS Jitter

Compare Plotly VS Jitter and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

Jitter logo Jitter

A simple animation tool on the web
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Jitter Landing page
    Landing page //
    2024-04-23

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.

Jitter features and specs

  • User-Friendly Interface
    Jitter offers a simple, intuitive, and user-friendly interface that allows both novices and professionals to create animations with ease.
  • Cloud-Based
    The platform is cloud-based, providing access from anywhere without the need for software installations.
  • Collaboration Features
    Jitter allows for real-time collaboration, making it easy for teams to work together on projects regardless of their geographical locations.
  • Templates
    The platform includes a variety of templates that can be easily customized, helping users to get started quickly.
  • Export Options
    Jitter supports multiple export formats, including video and GIF, offering flexibility for use in different contexts.

Possible disadvantages of Jitter

  • Subscription Cost
    While Jitter offers a free version, the advanced features require a subscription, which might be a constraint for some users.
  • Internet Dependence
    As a cloud-based tool, a stable internet connection is essential, which could be a limitation for users with unreliable connectivity.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features may require time and effort.
  • Performance Issues
    Depending on the complexity of the animation and the user's device, performance issues such as lagging can occur.
  • Limited Offline Capabilities
    The cloud-based nature of the platform means that offline access and editing are not available.

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

Jitter videos

No Jitter videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Jitter)
Data Visualization
100 100%
0% 0
Design Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Productivity
0 0%
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 Jitter

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.

Jitter Reviews

We have no reviews of Jitter yet.
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Social recommendations and mentions

Based on our record, Plotly should be more popular than Jitter. 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 2 months 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 / 4 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 / 6 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
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Jitter mentions (16)

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What are some alternatives?

When comparing Plotly and Jitter, 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.

Spirit - The animation tool for the web.

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

Artboard Studio - Online graphic design app mainly focused on product mockups.

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

App Animations - Gallery of beautiful iOS animations to inspire your next app