Software Alternatives & Startups

Plotly VS ChartBlocks

Compare Plotly VS ChartBlocks and see what are their differences

Plotly

Low-Code Data Apps

Rating
0 reviews
ChartBlocks

Import data, design and share a chart in minutes. Or seconds via the API.

Rating
0 reviews

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
82% vs 18%
alternatives listed
240+ vs 166

Base details

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

Plotly
ChartBlocks
Website plotly.com chartblocks.io
Pricing —
Listed in

Features and specs

What each product offers, as listed by its team.

Plotly 6 features
ChartBlocks 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.
  • User-Friendly Interface
    ChartBlocks offers a highly intuitive and easy-to-navigate interface, making it accessible even for users without advanced technical skills.
  • Wide Range of Customization Options
    The platform provides extensive customization options for charts, allowing users to tailor visualizations to their specific needs and preferences.
  • Data Import Flexibility
    ChartBlocks supports importing data from various sources, including direct file uploads, Google Sheets, and URLs, providing flexibility in data management.
  • Responsive Design
    Charts created on ChartBlocks are responsive, ensuring they display well across different devices and screen sizes.
  • Interactive Features
    The platform allows the creation of interactive charts, enhancing user engagement and making data more accessible and easier to understand.

Possible disadvantages

  • Limited Free Plan Features
    The free version of ChartBlocks comes with limitations such as fewer chart types and branding restrictions, which may necessitate an upgrade for more robust features.
  • Learning Curve for Advanced Features
    While basic features are user-friendly, there is a learning curve associated with leveraging some of the more advanced customization options and features.
  • Export Limitations
    In the free plan, there may be restrictions on exporting charts in certain formats or resolutions, which can be a limitation for users needing high-quality outputs.
  • Performance Issues with Large Datasets
    The platform might experience performance lags and slower responsiveness when handling very large datasets, affecting efficiency.
  • Dependence on Internet Connection
    As a cloud-based service, ChartBlocks requires a stable internet connection for optimal performance, which could be a drawback in areas with poor connectivity.

Analysis

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

Plotly
ChartBlocks

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.

Overall verdict

  • Overall, ChartBlocks is a versatile and powerful tool for creating visually appealing and informative charts. It is well-suited for those who need a straightforward solution for data visualization without a steep learning curve. However, users looking for advanced analytical features or complex data manipulation may find it lacking compared to some other specialized data visualization tools.

Why this product is good

  • ChartBlocks is often considered a good option because it offers an intuitive interface for creating charts and graphs quickly. It caters to both novices and professionals by providing a user-friendly drag-and-drop feature, extensive customization options, and the ability to import data from various sources, such as spreadsheets, databases, and live feeds. Additionally, it provides responsive templates and allows for easy sharing and embedding of charts on different platforms.

Recommended for

    ChartBlocks is recommended for educators, marketers, bloggers, small business owners, and any individuals who need to create charts quickly and without needing to write code. It is particularly beneficial for projects that prioritize ease of use and presentation quality over deep data analysis features.

Videos

Walkthroughs and reviews on video.

Plotly 5 videos + Add
ChartBlocks 1 video + 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

How to Make a Bar Chart

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
ChartBlocks
82% 82%
18% 18%
68% 68%
32% 32%
73% 73%
27% 27%
56% 56%
44% 44%

User comments

Share your experience with using Plotly and ChartBlocks. 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
ChartBlocks no reviews yet

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Social recommendations and mentions

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

Plotly 34 mentions
ChartBlocks 0 mentions

View more

Tracking ChartBlocks since Mar 2021.

Alternatives to Plotly and ChartBlocks

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