Software Alternatives, Accelerators & Startups
Register | Login

Plotly VS ChartBlocks

Compare Plotly VS ChartBlocks and see what are their differences

Electe
Illuminate the future with AI featured
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

ChartBlocks logo ChartBlocks

Import data, design and share a chart in minutes. Or seconds via the API.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • ChartBlocks Landing page
    Landing page //
    2022-09-14

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.

ChartBlocks features and specs

  • 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 of ChartBlocks

  • 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 of Plotly

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.

Analysis of ChartBlocks

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.

Plotly videos

+ Add

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

ChartBlocks videos

+ Add

How to Make a Bar Chart

Category Popularity

0-100% (relative to Plotly and ChartBlocks)

Plotly

ChartBlocks

Data Visualization
84 84%
Data Visualization
16% 16
Charting Libraries
67 67%
Charting Libraries
33% 33
Data Dashboard
75 75%
Data Dashboard
25% 25
Development
0 0%
Development
100% 100

User comments

Share your experience with using Plotly and ChartBlocks. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™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.
Source: blog.logrocket.com

ChartBlocks Reviews

A Complete Overview of the Best Data Visualization Tools
ChartBlocks claims that data can be imported from รขย€ยœanywhereรขย€ย using their API, including from live feeds. While they say that importing data from any source can be done in รขย€ยœjust a few clicks,รขย€ย itรขย€ย™s bound to be more complex than other apps that have automated modules or extensions for specific data sources.
Source: www.toptal.com
The Best Data Visualization Tools - Top 30 BI Software
Chartblocks is an easy-to-use chart building and publishing tool that allows you to build charts from data by importing it from spreadsheets and databases. Charts are created under the hood in HTML5 by using the powerful JavaScript library D3.js and your visualizations will be responsive and compatible with any screen size and device. You can also be able to embed your...
Source: improvado.io

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year 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 / about 2 years ago
View more

ChartBlocks mentions (0)

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

What are some alternatives?

When comparing Plotly and ChartBlocks, 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.

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

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Google Charts - Interactive charts for browsers and mobile devices.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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

Loading...