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Matplotlib VS Draxlr

Compare Matplotlib VS Draxlr and see what are their differences

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Matplotlib logo Matplotlib

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

Draxlr logo Draxlr

Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface.
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  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Draxlr Dashboard
    Dashboard //
    2025-01-17
  • Draxlr
    Image date //
    2025-01-17
  • Draxlr
    Image date //
    2025-01-17

Draxlr is a tool to analyze and monitor your data. It can help you get answers from your database, without writing code. These answers and insights can be shared with your team and customers. You can build graphs, charts, and dashboards and share them as links, images, or embed them on your website and app. Not only that you can set up monitoring on your data, so if any data changes you can be alerted via Slack and Email.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Draxlr features and specs

  • Dashboards and Visualizations
  • Slack Notifications
  • Email notifications
  • Query Builder
  • Embedded Analytics
  • Data Export

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Draxlr videos

+ Add

Get answers from your database data.

More videos:

  • Review - Draxlr lietime deal | Appsumo lifetime deal #bestsowftware
  • Review - Draxlr | Get more from your database for less with code-free data query tools #shorts

Category Popularity

0-100% (relative to Matplotlib and Draxlr)

Matplotlib

Draxlr

Technical Computing
100 100%
Technical Computing
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
No Code
0 0%
No Code
100% 100

User comments

Share your experience with using Matplotlib and Draxlr. For example, how are they different and which one is better?
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Reviews

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

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.
Source: www.technotification.com
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.
Source: searchbusinessanalytics.techtarget.com
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.
Source: www.analyticsvidhya.com
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...
Source: www.geeksforgeeks.org

Draxlr Reviews

Explore 6 Metabase Alternatives for Data Visualization and Analysis
Draxlr is an intuitive Metabase alternative, blending a robust no-code query builder with AI-powered SQL generation for both non-technical and advanced users. It seamlessly integrates with various databases and provides real-time alerts through Slack, email, and more. With features like embeddable dashboards, granular team access, customizable visualizations, and live data...
Source: www.draxlr.com
Explore 7 Tableau Alternatives for Data Visualization and Analysis
Draxlr is a no-code data visualization tool that simplifies creating dashboards and setting up alerts for SQL databases like PostgreSQL, MySQL, MS SQL, and more. It features an intuitive query builder for filtering, sorting, joining, summarizing, and grouping data without coding. Draxlr also supports advanced visualizations, embedded dashboards, and AI-driven insights, as...
Source: www.draxlr.com
5 best Looker alternatives
Draxlr: Draxlr is a modern self-service BI tool with AI integration capabilities that is built to ensure everyone in the team can easily find answers in raw data, and build actionable dashboards. Since it is one of the new tools, it can lack community support but is compensated by great customer support.
Source: www.draxlr.com
5 best dashboard building tools for SQL data in 2024
Draxlr is a modern self-serve business intelligence tool for growing businesses. Seamlessly connecting with multiple SQL databases, it transforms raw SQL data into polished dashboards effortlessly within minutes, eliminating the need for coding skills. Empowering users to effortlessly visualize and interpret data, Draxlr is tailored for modern business insights.
Source: www.draxlr.com

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Draxlr. While we know about 107 links to Matplotlib, we've tracked only 1 mention of Draxlr. 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 (107)

  • Python for Data Visualization: Best Tools and Practices
    Matplotlib is the backbone of Python data visualization. It’s a flexible, reliable library for creating static plots. Whether you're making simple bar charts or complex graphs, Matplotlib allows extensive customization. You can adjust nearly every aspect of a plot to suit your needs. - Source: dev.to / about 1 month ago
  • Build a Competitive Intelligence Tool Powered by AI
    Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org. - Source: dev.to / 5 months ago
  • Data Visualisation Basics
    Matplotlib: a versatile library for visualizations, but it can take some code effort to put together common visualizations. - Source: dev.to / 8 months ago
  • Creating a CSV to Graph Generator App Using ToolJet and Python Libraries
    In this tutorial, we'll create a CSV to Graph Generator app using ToolJet and Python code. This app enables users to upload a CSV file and generate various types of graphs, including line, scatter, bar, histogram, and box plots. Since ToolJet supports Python (and JavaScript) code out of the box, we'll incorporate Python code and the matplotlib library to handle the graph generation. Additionally, we'll use... - Source: dev.to / 9 months ago
  • Something is strange with CrowdStrike timeline
    It looks like matplotlib to me: https://matplotlib.org/. - Source: Hacker News / 10 months ago
View more

Draxlr mentions (1)

What are some alternatives?

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

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

HistogramMaker.net - Create a Histogram for free with easy to use tools and download the Histogram as jpg, png or svg file. Customize Histogram according to your choice.

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

Canva - Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.

Plotly - Low-Code Data Apps

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

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