Software Alternatives & Reviews

Matplotlib VS Tableau

Compare Matplotlib VS Tableau and see what are their differences

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Tableau logo 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.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Tableau Landing page
    Landing page //
    2023-10-18

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Tableau videos

Power BI vs Tableau 🔥 5 Factors to Choose a Winner

More videos:

  • Review - What is Tableau Desktop? | A Tableau Desktop Overview
  • Demo - Tableau Software Demo

Category Popularity

0-100% (relative to Matplotlib and Tableau)
Technical Computing
100 100%
0% 0
Data Dashboard
7 7%
93% 93
Data Science And Machine Learning
Business Intelligence
0 0%
100% 100

User comments

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Reviews

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

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Tableau Reviews

Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com
25 Best Statistical Analysis Software
Tableau is a top tool for data visualization that offers an easy-to-use interface and a comprehensive range of customization options. These features enable users to create compelling visualizations of their data.
Best 8 Redash Alternatives in 2023 [In Depth Guide]
Tableau is designed for everyone, including analysts, executives, and IT personnel needing a platform to process and examine data to find insights and share them with other team members via KPI dashboards.
Source: www.datapad.io
8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
We’ve written articles on this tool before. Read more about Tableau alternatives, and Tableau server alternatives for self-hosted tools.
Source: trevor.io
Top 10 Tableau Open Source Alternatives: A Comprehensive List
Since its inception in 2003, Tableau has grown to be one of the most popular and reliable Data Visualization and Business Intelligence tools used worldwide. Tableau can be leveraged to create robust and interactive visualizations based on an analysis of large amounts of data. Tableau visualizations are accessible on all screen sizes and devices, making it a powerful and...
Source: hevodata.com

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Tableau. While we know about 98 links to Matplotlib, we've tracked only 8 mentions of Tableau. 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.

Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / 27 days ago
  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 2 months ago
  • How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
    Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago
  • Ask HN: What plotting tools should I invest in learning?
    For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 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
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Tableau mentions (8)

  • Tableau Certified Data Analyst Exam Readiness
    Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: 9 months ago
  • Where to publish knowledge sharing on Tableau reverse engineering and data dictionary generation?
    Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: over 1 year ago
  • I have huge loads of data in Redshift. How can I make this available to end-users after performing few procs and queries? It should be available online.
    Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: about 2 years ago
  • What tips do you have on evaluating various BI tools for business needs? What are the essential criteria's you would include when evaluating different tools? The goal is to have an unbiased, objective approach.
    For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: about 2 years ago
  • Anyone go into Data Analytics after this program?
    I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: about 2 years ago
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What are some alternatives?

When comparing Matplotlib and Tableau, you can also consider the following products

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Plotly - Low-Code Data Apps

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.