Software Alternatives, Accelerators & Startups

Plotly VS ChartBlocks

Compare Plotly VS ChartBlocks and see what are their differences

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.

Plotly videos

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

How to Make a Bar Chart

Category Popularity

0-100% (relative to Plotly and ChartBlocks)
Data Visualization
85 85%
15% 15
Charting Libraries
75 75%
25% 25
Data Dashboard
80 80%
20% 20
Developer Tools
100 100%
0% 0

User comments

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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.
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...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’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.

ChartBlocks Reviews

A Complete Overview of the Best Data Visualization Tools
ChartBlocks claims that data can be imported from “anywhere” using their API, including from live feeds. While they say that importing data from any source can be done in “just a few clicks,” it’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 33 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 (33)

  • 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 / about 1 month 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 / 3 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    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 / 5 months 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 / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year 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.

Chart.js - Easy, object oriented client side graphs for designers and developers.

Google Charts - Interactive charts for browsers and mobile devices.

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

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