Data Visualization Tool reviews from Reddit

Summary

We analyzed 160 Reddit reviews across 7 subreddits and 9 posts to rank the best Data Visualization Tool brands recommended by redditors, including communities like r/datascience, r/BusinessIntelligence, r/analytics, r/Netsuite, r/Rivian. Top-rated brands include Plotly (4.5/5), Seaborn (4.5/5), Matplotlib (4.1/5).

Stats

Reviews160

Subreddits7

Posts9

Brands58

Products27

Top communities

r/datascience103 r/BusinessIntelligence22 r/analytics12 r/Netsuite10 r/Rivian7

160 reviews from

and

By Brand

By Product

Plotly

4.5

(24)

"Plotly is so hackable... I've built some insane dash apps that shouldn't be possible."

"I like Plotly (Express) as it is fast and interactive. It also is easily integrated into Plotly Dash, which makes it very versatile imo."

"Big fan of Plotly."

"Plotly is the go-to for interactive and 3D plots."

"Plotly > seaborne > matplotlib."

"I love plotly express. The documentation is amazing; it’s simple to use and everything comes out looking great."

"IMHO is the way of the future for python visualization."

"I like seaborn and plotly. Works for my data needs."

"It gives more flexibility and customisation with better graphical representation."

"Plotly can be easily integrated in dashboards and everything. Visuals are good and can be easily configured."

Seaborn

4.5

(19)

"Seaborn is great for visualizations depending on the job."

"Seaborn because those graphs are so clean"

"Seaborn is great for paper plotting."

"Big fan of Seaborn."

"Seaborn is the best tool"

"Seaborn is the easiest tool for quick plots with pandas data frames."

"I like seaborn and plotly. Works for my data needs."

"Quick and efficient for time-series and heatmaps."

"I prefer Seaborn over matplotlib anyday."

"Seaborn makes graphs that are very pretty out of the box."

Matplotlib

4.1

(15)

"It's well documented, highly customizable and provides all functionalities you'll ever need."

"There's tons of documentation and a supportive community on StackOverflow."

"Matplotlib is a solid choice for plotting."

"Matplotlib is the single best tool you'll only need. The possibilities are really endless once you get used to it."

"Matplotlib"

"Matplotlib is strong for data analysis with increased control."

"We use matplotlib, plotly, seaborn."

"Matplotlib with seaborn is my go to at work because it is basically known by all the people I work with and makes it easier to collaborate."

"Great for quick plotting when in a hurry."

"Works with Pandas by default."

Tableau

4.0

(13)

"I really liked Tableau and WebDataRocks. They are efficient, work with big datasets and have great visuals."

"Tableau is a great tool for combining and transforming data, with excellent visualization capabilities."

"In my opinion, the best data visualization tool is Tableau. I have used several different tools in the past, and Tableau stands out for its overall usefulness and versatility."

"I use Tableau for visualising after processing with Python. I love it!"

"Why is no one saying Tableau or is that just too 2019?"

"Tableau probably has the flashiest visuals."

"I have used many ERP systems and many data discovery and visualization tools from Cognos, Tableau, Looker, PowerBI, Sigma and many others."

"Python to gsheet to Tableau Because it’s literally nightmarish to micro edit ax plot kind of syntax."

"Tableau or Power BI."

"Tableau, qlik, power bi, tibco spotfire etc. It's all different flavors of the same thing."

Altair

4.4

(8)

"Altair is a slick JS visualization package."

"You can do quite a bit with it straight out of the box and the syntax for everything is very straightforward."

"If I want it pretty then it's Altair. It's beautiful and so well maintained."

"It has great default themes and is ready to go with minimal code. It is difficult to make more complex charts though."

"I am a fan of any visualization library that uses grammar of graphics."

"Altair is great but I think it's the same thing as Plotly."

"Altair"

"Cleaner looking and similar to ggplot2."

Bokeh

4.3

(6)

"Bokeh is an excellent tool for creating beautiful visualizations."

"Bokeh has been my go to - it has the right balance of versatility and usability for me."

"1. Bokeh, probably the best for me"

"I personally love bokeh."

"Bokeh and ggplot"

"I wish I could inherit Bokeh's figure class and make my customized classes according to publication Journals."

Microsoft

4.4

(5)

"Power BI is the better all-in-one tool for data ingesting, cleaning, and reporting."

"Power BI Pro is an essential tool for data analysis and visualization."

"Power BI is a great tool if you already have a license with MS Office."

"Power BI is far better than Data Studio."

"Power BI has a Google sheets connector and it is FAR better than Data Studio."

plotnine

5.0

(3)

"I love ggplot!"

"Plotnine is really nice."

"I am used to R and ggplot and I don’t want to learn a new visualization tool every 2 years."

Python

4.7

(3)

"The community has largely moved to Python and Matplotlib for data visualization."

"I use python + matplotlib for publication-quality visualizations."

"Seaborn felt like the one that translates roughly to ggplot in R."

#10

Google

3.3

(4)

"Have you thought of using colab notebooks... lots of guidance on how to link to Google sheets"

"Looker Studio could be better for your case since you can use Google Sheets as a data source."

"Google Data Studio is just passable on its own."

"Data Studio is... passable."

#11

Power BI

4.0

3.0

2.0

(1)

"Quicksight is kind of bad."

#58

ggplot

2.0

(1)

"I'd rather just export the data and do it in ggplot."

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