Software Alternatives, Accelerators & Startups

ZoomCharts VS Matplotlib

Compare ZoomCharts VS Matplotlib and see what are their differences

ZoomCharts logo ZoomCharts

Creating meaningful and aesthetically pleasing data visualizations and incorporating them into your projects is easy with the tools offered by ZoomCharts.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • ZoomCharts Landing page
    Landing page //
    2021-09-22
  • Matplotlib Landing page
    Landing page //
    2023-06-14

ZoomCharts features and specs

  • Interactive Visualization
    ZoomCharts offers highly interactive and engaging data visualization tools that allow users to explore data with dynamic controls like zooming, panning, and real-time updates.
  • Responsive Design
    Charts created with ZoomCharts are responsive and adaptive, making them suitable for use on various devices, including desktops, tablets, and smartphones.
  • Customizable Features
    ZoomCharts provides a wide range of customization options for visual and functional elements, offering users the flexibility to tailor charts to their specific needs.
  • Ease of Integration
    ZoomCharts can be easily integrated into various platforms and existing workflows due to its compatibility with common web technologies like HTML5, JavaScript, and CSS.
  • Comprehensive Documentation
    The platform offers extensive documentation and support resources, which make it easier for developers to implement and utilize the charts effectively.

Possible disadvantages of ZoomCharts

  • Pricing Structure
    ZoomCharts may have a complex pricing structure, making it potentially costly for small businesses or individual users compared to some open-source alternatives.
  • Learning Curve
    Despite its powerful features, new users might face a learning curve when attempting to fully utilize all the functionalities and customization options.
  • Limited Free Options
    The free tier of ZoomCharts might be limited in terms of features, leading users to opt for a paid plan to access advanced functionalities.
  • Dependency on JavaScript
    Since ZoomCharts relies heavily on JavaScript, developers need a good understanding of the language to maximize the use of its libraries and features.
  • Performance Concerns
    For very large datasets, performance might be an issue, potentially resulting in slower load times or less smooth interactions compared to simpler libraries.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

ZoomCharts videos

Advanced Network Chart Custom Visual for Power BI by ZoomCharts

More videos:

  • Review - Advanced (Drill Down) Combo Bar Visual by ZoomCharts
  • Demo - Live demo - ZoomCharts CEO shows mobile-friendly data visualization in action

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to ZoomCharts and Matplotlib)
Charting Libraries
61 61%
39% 39
Technical Computing
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Data Science And Machine Learning

User comments

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Reviews

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

ZoomCharts Reviews

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Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. It has been mentiond 107 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.

ZoomCharts mentions (0)

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

Matplotlib mentions (107)

  • Python for Data Visualization: Best Tools and Practices
    Matplotlib is the backbone of Python data visualization. It’s a flexible, reliable library for creating static plots. Whether you're making simple bar charts or complex graphs, Matplotlib allows extensive customization. You can adjust nearly every aspect of a plot to suit your needs. - Source: dev.to / 3 months ago
  • Build a Competitive Intelligence Tool Powered by AI
    Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org. - Source: dev.to / 6 months ago
  • Data Visualisation Basics
    Matplotlib: a versatile library for visualizations, but it can take some code effort to put together common visualizations. - Source: dev.to / 10 months ago
  • Creating a CSV to Graph Generator App Using ToolJet and Python Libraries
    In this tutorial, we'll create a CSV to Graph Generator app using ToolJet and Python code. This app enables users to upload a CSV file and generate various types of graphs, including line, scatter, bar, histogram, and box plots. Since ToolJet supports Python (and JavaScript) code out of the box, we'll incorporate Python code and the matplotlib library to handle the graph generation. Additionally, we'll use... - Source: dev.to / 11 months ago
  • Something is strange with CrowdStrike timeline
    It looks like matplotlib to me: https://matplotlib.org/. - Source: Hacker News / 11 months ago
View more

What are some alternatives?

When comparing ZoomCharts and Matplotlib, you can also consider the following products

Google Charts - Interactive charts for browsers and mobile devices.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

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

Plotly - Low-Code Data Apps