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LightningChart VS Plotly

Compare LightningChart VS Plotly and see what are their differences

LightningChart

World’s Fastest Charting Controls for Desktop and Web. LightningChart .NET & JavaScript solutions are built to fulfill the industry's most demanding data visualization requirements with thorough chart optimization, minimal delays, & smooth rendering.

Rating
0 reviews
Pricing
Paid Free trial $1,715 / Annually (.NET Bronze)
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Alternatives Is it good?
Plotly

Low-Code Data Apps

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0 reviews
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ReleasePad
Changelog software that turns GitHub commits into release notes your users actually see — inside your app. Built for founders and teams who ship fast. sponsored

Which is more popular?

Based on our record, Plotly seems to be a lot more popular than LightningChart. While we know about 34 links to Plotly, we've tracked only 2 mentions of LightningChart.

social mentions
2 vs 34
Data Dashboard popularity
10% vs 90%
alternatives listed
9 vs 240+

Base details

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

LightningChart
Plotly
Website lightningchart.com plotly.com
Pricing
Paid Free trial $1,715 / Annually (.NET Bronze) Official pricing
Official pricing
Platforms
Windows Web .Net JavaScript ReactJS Android iOS +4
—
Company Startup from Finland · 20 - 49 employees · 2007 —
Listed in
Charting Tools And Libraries Charting Libraries Data Visualization Data Dashboard +1
Application And Data Developer Tools App Development App Deployment Data Visualization Low Code +3

About LightningChart and Plotly

In their own words, as submitted to SaaSHub.

LightningChart
Plotly

LightningChart is a complete programming kit for fast two-dimensional and three-dimensional calculations in the field of measuring, engineering and visualizing research data for the .NET programming framework. Using this sdk, programmers can use a variety of two-dimensional and three-dimensional...

Read more about LightningChart

No description of Plotly yet.

Features and specs

What each product offers, as listed by its team.

LightningChart 5 features
Plotly 6 features
  • Best Rendering Performance
    LightningChart .NET has rendering capacity of 1 trillion+ datapoints with just 128GB RAM
  • Interactive charts with rich functionality
    200+
  • Technologies
    LightningChart for .NET and JavaScript
  • Additional features
    DataGrid
  • Chart components
    2D, 3D, heatmaps, Surface charts, bar charts, XY series
  • 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.

Analysis

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

LightningChart
Plotly

Overall verdict

  • LightningChart is a high-performance data visualization library widely regarded as one of the fastest charting solutions available, making it an excellent choice for applications that require rendering large datasets and real-time data streams.

Why this product is good

  • Exceptional rendering performance leveraging GPU acceleration (DirectX/WebGL), capable of handling millions of data points in real time
  • Comprehensive range of chart types including 2D, 3D, polar, radar, maps, and specialized scientific/trading charts
  • Available across multiple platforms with libraries for .NET, JavaScript, and Python
  • Well-suited for demanding industries like engineering, science, medical, and finance
  • Strong documentation, examples, and dedicated technical support
  • Optimized for low CPU/GPU usage which helps with battery life and scalability

Recommended for

  • Developers building real-time monitoring or data acquisition applications
  • Scientific and engineering software requiring high-precision visualization
  • Financial and trading platforms needing fast, interactive charts
  • Medical and industrial applications handling massive datasets
  • Teams that prioritize rendering speed and performance over lower-cost alternatives

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.

Videos

Walkthroughs and reviews on video.

LightningChart 3 videos + Add
Plotly 5 videos + Add

LightningChart® JS - The Fastest JavaScript Charting Library

More videos

  • - LightningChart - Smith Chart for .NET
  • - LightningChart® .NET Interactive Examples

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

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
LightningChart
Plotly
10% 10%
Data Dashboard
90% 90%
6% 6%
Data Visualization
94% 94%
7% 7%
Charting Libraries
93% 93%
100% 100%
Charting Tools And Libraries
0% 0%

Questions & Answers

As answered by people managing LightningChart and Plotly.

Which are the primary technologies used for building your product?

LightningChart's answer

LightningChart is built around GPU-accelerated rendering. The JavaScript library uses WebGL, and the .NET libraries use DirectX for Windows desktop apps. The Python library brings the same high-performance rendering to data science workflows. Language support covers JavaScript and TypeScript, C# and .NET (WPF, WinForms, UWP), and Python.

How would you describe the primary audience of your product?

LightningChart's answer

Developers, engineers and data scientists who build data-intensive applications where speed matters. Typical sectors are motorsport, aerospace, automotive, energy, healthcare and medical devices, finance, and research. They are usually building real-time monitoring, analysis or simulation tools and have outgrown general-purpose charting libraries.

Why should a person choose your product over its competitors?

LightningChart's answer

Performance and scale are the main reasons. If your application streams live data, such as telemetry, medical signals, financial feeds or industrial monitoring, LightningChart keeps rendering smooth and responsive when other libraries struggle. You also get a wide range of chart types (2D, 3D, maps, volumetric and more), one consistent API across platforms, and direct support from the engineers who build the product.

What makes your product unique?

LightningChart's answer

LightningChart is built from the ground up for GPU-accelerated performance. It renders millions to billions of data points in real time at high refresh rates, where most charting libraries slow down at a fraction of that. It is available as native libraries for JavaScript, .NET and Python, so teams get the same speed and feature depth on web, desktop and data science stacks.

What's the story behind your product?

LightningChart's answer

LightningChart began in Kuopio, Finland, where founder Pasi Tuomainen programmed the first version through 2008. The company was originally called Arction, and the product already carried the LightningChart name. The first version was complete when the first employee joined in November 2009. It has since grown from a .NET charting component into a family of GPU-accelerated libraries for JavaScript, .NET and Python, used by engineering teams worldwide.

User comments

Share your experience with using LightningChart and Plotly. 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.

LightningChart no reviews yet
Plotly no reviews yet

We have no reviews of LightningChart yet. Be the first one to post

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Social recommendations and mentions

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

LightningChart 2 mentions
Plotly 34 mentions
  • Next-Gen Big Data Dashboards – For All Industries
    Create eye-catching, super-fast, instantly responsive dashboards in minutes with Dashtera. Built for speed and scale, our platform uses the world’s fastest GPU-accelerated technology to visualize masses of data in real-time. Dashtera... - Source: Hacker News / 10 months ago
  • Best plotting libraries?
    Try https://lightningchart.com/, managed to draw scatter with 800 000 dots, it is fast! Drawing is almost instant. Source: almost 4 years ago

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Alternatives to LightningChart and Plotly

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

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