Software Alternatives, Accelerators & Startups

Plotly VS JSCharting

Compare Plotly VS JSCharting and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

JSCharting logo JSCharting

JSCharting includes a suite of 150+ advanced chart types, interactive stock charts, JavaScript map charts, Gantt charts, organizational charts and more in one powerful visualization suite.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • JSCharting Landing page
    Landing page //
    2021-11-04

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.

JSCharting features and specs

  • Extensive Chart Types
    JSCharting offers a wide variety of chart types, including standard, advanced, and unique visualizations, accommodating diverse data visualization needs.
  • Ease of Use
    The library provides a straightforward API and comprehensive documentation, making it accessible to developers with varying levels of experience.
  • Responsive Design
    JSCharting charts are responsive and adapt seamlessly to different screen sizes, ensuring compatibility across various devices.
  • Data Integration
    The library supports integration with various data sources, allowing for dynamic updates and real-time data visualization.
  • Customizability
    JSCharting allows extensive customization options, including themes and styles, enabling users to tailor charts to fit their specific requirements.
  • Performance
    JSCharting is optimized for performance, efficiently rendering large datasets without compromising on speed or quality.

Possible disadvantages of JSCharting

  • Pricing
    JSCharting is a commercial product, and its licensing costs might be a barrier for individual developers or small companies with limited budgets.
  • Initial Learning Curve
    Despite being user-friendly, the wealth of features may require an initial learning period to fully utilize the library’s capabilities.
  • Dependency on JavaScript
    As a JavaScript library, it requires a certain level of proficiency in JavaScript, which may not be ideal for teams that primarily use other programming languages.

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

JSCharting videos

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

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Category Popularity

0-100% (relative to Plotly and JSCharting)
Data Visualization
95 95%
5% 5
Charting Libraries
88 88%
12% 12
Data Dashboard
92 92%
8% 8
Javascript UI Libraries
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 JSCharting

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.

JSCharting Reviews

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

Based on our record, Plotly seems to be a lot more popular than JSCharting. While we know about 33 links to Plotly, we've tracked only 3 mentions of JSCharting. 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

JSCharting mentions (3)

  • 50 chart types for data visualization explained
    Data visualization is a critical skill in today's data-driven world, and choosing the right chart type is an essential aspect of effective data communication. By exploring the top 50 chart types generated with a JavaScript chart library I hope you have gained a deeper understanding of the various chart visualization options available and can more effectively choose the right one for your data. Whether you're... - Source: dev.to / about 2 years ago
  • 18 Best JavaScript Gantt Chart Components
    JSCharting is a JavaScript library that offers a way to add different types of charts to a web application, plus Gantt charts (JSGantt). - Source: dev.to / over 2 years ago
  • A curated list of awesome things related to Vue.js
    Jscharting-vue - Vue chart component offering a complete set of chart types and engaging data visualizations with JSCharting. - Source: dev.to / almost 4 years ago

What are some alternatives?

When comparing Plotly and JSCharting, 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.

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

Chartist.js - Chartist.JS - simple responsive charts.

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

Google Charts - Interactive charts for browsers and mobile devices.