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Plotly VS ZingGrid

Compare Plotly VS ZingGrid and see what are their differences

Plotly

Low-Code Data Apps

Rating
0 reviews
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Alternatives Is it good?
ZingGrid

Built using web components, ZingGrid is a fully-featured, native solution for interactive, mobile-friendly JavaScript data grids and tables.

Rating
5.0 · 1 review
Pricing
Open source Freemium Free trial $100 / Annually (Single-domain license for one website or application)
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Alternatives Is it good?
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Which is more popular?

Based on our record, Plotly seems to be more popular. It has been mentioned 34 times since March 2021.

social mentions
34 vs 0
Data Visualization popularity
100% vs 0%
alternatives listed
240+ vs 35

Base details

Website, pricing, platforms and company facts side by side.

Plotly
ZingGrid
Website plotly.com zinggrid.com
Pricing
Official pricing
Open source Freemium Free trial $100 / Annually (Single-domain license for one website or application) Official pricing
Platforms —
Windows iOS Android Browser Mac OSX Web REST API JavaScript Edge Safari iPhone Firefox Google Chrome PHP +11
Company — 2018
Listed in
Application And Data Developer Tools App Development App Deployment Data Visualization Low Code +3
JavaScript Tools Data Grid CRUD Data Dashboard Data Visualization Spreadsheets Office Suites +4

About Plotly and ZingGrid

In their own words, as submitted to SaaSHub.

Plotly
ZingGrid

No description of Plotly yet.

ZingGrid is web component-based JavaScript library for data grids & tables with lots of built-in features and tons of out-of-the-box functionality. Whether you're looking for built-in interactivity like CRUD, data sorting and filtering, or a mobile-friendly solution for simple data...

Read more about ZingGrid

Features and specs

What each product offers, as listed by its team.

Plotly 6 features
ZingGrid 5 features
  • 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

  • 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.
  • Ease of Use
    ZingGrid provides an easy-to-use API that requires minimal setup, allowing developers to quickly integrate data grids into their applications without extensive coding knowledge.
  • Customizability
    Offers a variety of customization options for appearance and functionality, enabling developers to tailor the grid to meet specific project or client needs.
  • Feature-rich
    Includes a wide range of built-in features such as sorting, filtering, pagination, and data binding, which enhance the interactivity and usability of the data grid.
  • Responsive Design
    Designed to be responsive, ensuring that grids display well across different devices and screen sizes, which is important for mobile-friendly applications.
  • Documentation and Support
    Provides comprehensive documentation and support resources, which can facilitate a smoother implementation process and assist developers in troubleshooting issues.

Possible disadvantages

  • Performance with Large Datasets
    May experience performance limitations when handling very large datasets, which can impact the speed and responsiveness of the grid.
  • Dependency on External Libraries
    Might require the integration of external libraries or dependencies, which can increase the complexity of the project and the potential for conflicts.
  • Learning Curve for Advanced Features
    While basic features are easy to implement, there can be a steeper learning curve for utilizing more advanced features or customizations.
  • Limited Flexibility in Complex Scenarios
    May not offer the needed flexibility for highly complex or unique data grid requirements, potentially necessitating workarounds or custom solutions.

Analysis

An editorial look at what each product does well and who it suits.

Plotly
ZingGrid

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

No analysis of ZingGrid yet.

Videos

Walkthroughs and reviews on video.

Plotly 5 videos + Add
ZingGrid 0 videos + Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos

  • - Introducing plotly.py 3.0
  • - Is Plotly The Better Matplotlib?
  • - Plotly Tutorial 2021
  • - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Plotly
ZingGrid
100% 100%
Data Visualization
0% 0%
0% 0%
Data Grid
100% 100%
100% 100%
Charting Libraries
0% 0%
0% 0%
JavaScript Tools
100% 100%

Questions & Answers

As answered by people managing Plotly and ZingGrid.

Which are the primary technologies used for building your product?

ZingGrid's answer:

Standard web platform using vanilla JavaScript and relying on the web components API so it is agnostic to framework use.

What's the story behind your product?

ZingGrid's answer:

We had built ZingChart, which is used by numerous small and large organizations worldwide, and wanted to address the other aspects of data presentation outside of charting. Given our emphasis at the time of long lived software we opted to go close to web platform and that is why we implemented it as a web component so early.

Why should a person choose your product over its competitors?

ZingGrid's answer:

Web standards-focused, framework agnostic, very easy to tie it to a REST or GraphQL endpoint, lots of hooks for customization, and very easy to get started with

How would you describe the primary audience of your product?

ZingGrid's answer:

Web developers and web designers looking for a data table or data grid solution for their site or application and not wanted to get locked into a non webstandards solution

What makes your product unique?

ZingGrid's answer:

It's the first web component specific advanced datagrid on market and very focused on making common development tasks incredibly easy.

User comments

Share your experience with using Plotly and ZingGrid. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Plotly no reviews yet
ZingGrid 5.0 · 1 review

View more

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Plotly 34 mentions
ZingGrid 0 mentions

View more

Tracking ZingGrid since Mar 2021.

Alternatives to Plotly and ZingGrid

When comparing Plotly and ZingGrid, you can also consider the following products.

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