Software Alternatives, Accelerators & Startups

liveGap Charts VS Plotly

Compare liveGap Charts VS Plotly and see what are their differences

liveGap Charts logo liveGap Charts

Free online charts. Easily create animated charts from your data.save your charts as image or HTML.

Plotly logo Plotly

Low-Code Data Apps
  • liveGap Charts Landing page
    Landing page //
    2021-07-24
  • Plotly Landing page
    Landing page //
    2023-07-31

liveGap Charts features and specs

  • User-Friendly Interface
    LiveGap Charts offers an intuitive and easy-to-use interface, allowing users to quickly create and customize charts without needing advanced technical skills.
  • Variety of Chart Types
    The platform provides a wide range of chart types, including bar, line, pie, and more, which can cater to various data visualization needs.
  • Real-time Collaboration
    Users can collaborate in real-time, making it easier for teams to work together and make adjustments to charts on the go.
  • No Installation Required
    As a web-based tool, LiveGap Charts does not require any software installation, enabling users to start visualizing data directly from their browsers.

Possible disadvantages of liveGap Charts

  • Limited Offline Access
    Being an online tool, users need an internet connection to access and use LiveGap Charts, which can be a limitation for those needing offline access.
  • Subscription Cost
    While there may be a free tier, accessing advanced features and charting capabilities typically requires a paid subscription, which can be a drawback for some users.
  • Potential Performance Issues
    Depending on internet connectivity and server load, users might experience lag or delays in rendering charts, impacting the overall user experience.
  • Learning Curve for Advanced Features
    While basic functions are user-friendly, mastering more advanced features might require users to spend extra time learning and exploring the platform.

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.

liveGap Charts videos

livegap Charts

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

Category Popularity

0-100% (relative to liveGap Charts and Plotly)
Charting Libraries
26 26%
74% 74
Data Visualization
8 8%
92% 92
Data Dashboard
15 15%
85% 85
Development
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 liveGap Charts and Plotly

liveGap Charts Reviews

We have no reviews of liveGap Charts yet.
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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.

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.

liveGap Charts mentions (0)

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

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 / 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 / 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

What are some alternatives?

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

CanvasJS - HTML5 JavaScript, jQuery, Angular, React Charts for Data Visualization

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.

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

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

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

ZingChart - ZingChart is a fast, modern, powerful JavaScript charting library for building animated, interactive charts and graphs. Bring on the big data!