Plotly VS ChartBrick

Visualize your data (from Notion, Airtable, Stackby, MySQL, CSV, JSON) as insightful charts and make it more understandable. You can also download these charts as images and embed them in Notion pages or anywhere else.

Landing page //
2023-07-31

Landing page //
2022-11-19

Plotly

Website: plotly.com
Pricing URL: Official Plotly Pricing
$ Details: -
Platforms: -
Release Date: -

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ChartBrick

Website: chartbrick.com
Pricing URL: Official ChartBrick Pricing
$ Details: freemium $8.99 / Monthly (Unlimited)
Platforms: Web
Release Date: 2022 November

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Plotly features and specs

No features have been listed yet.

ChartBrick features and specs

Create charts: Using data from Notion, Airtable, Stackby, MySQL, CSV or JSON
Embed charts: Yes
Download charts as images: Yes

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

ChartBrick videos

+ Add

Notion Charts: How to Create Charts in Notion!

Category Popularity

0-100% (relative to Plotly and ChartBrick)

Plotly

ChartBrick

Data Visualization

96 96%

Data Visualization

4% 4

Productivity

0 0%

Productivity

100% 100

Data Dashboard

89 89%

Data Dashboard

11% 11

Charting Libraries

100 100%

Charting Libraries

0% 0

Questions and Answers

As answered by people managing Plotly and ChartBrick.

What makes your product unique?

ChartBrick's answer:

ChartBrick has a user-friendly UI that is both clean and simple, enabling users to effortlessly create straightforward charts in mere seconds or minutes.

User comments

Share your experience with using Plotly and ChartBrick. For example, how are they different and which one is better?

Reviews

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

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

ChartBrick Reviews

We have no reviews of ChartBrick yet.
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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.

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: 6 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: about 1 year 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: about 1 year 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 / almost 2 years ago