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ChartBlocks VS Plotly

Compare ChartBlocks VS Plotly and see what are their differences

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ChartBlocks logo ChartBlocks

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

Plotly logo Plotly

Low-Code Data Apps
  • ChartBlocks Landing page
    Landing page //
    2022-09-14
  • Plotly Landing page
    Landing page //
    2023-07-31

ChartBlocks videos

+ Add

How to Make a Bar Chart

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

Category Popularity

0-100% (relative to ChartBlocks and Plotly)

ChartBlocks

Plotly

Charting Libraries
24 24%
Charting Libraries
76% 76
Data Visualization
17 17%
Data Visualization
83% 83
Data Dashboard
21 21%
Data Dashboard
79% 79
Development
100 100%
Development
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 ChartBlocks and Plotly

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

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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 29 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.

ChartBlocks mentions (0)

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

Plotly mentions (29)

  • 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: 5 months ago
  • Junior Developer asked to make Saaas in first month.
    If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 11 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
  • Wait, but I thought they were the same thing?
    I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
  • Storing your data in a Plotly Dash data dashboard
    Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
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What are some alternatives?

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

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

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.

Google Charts - Interactive charts for browsers and mobile devices.

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

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

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

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