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Coggle VS Matplotlib

Compare Coggle VS Matplotlib and see what are their differences

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Coggle logo Coggle

Coggle is a simple, beautiful, powerful way of structuring information.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Coggle Landing page
    Landing page //
    2022-01-15
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Coggle features and specs

  • User-Friendly Interface
    Coggle provides a simple and intuitive drag-and-drop interface that makes it easy to create and edit mind maps, suitable for users of all skill levels.
  • Real-time Collaboration
    The platform offers real-time collaboration features, allowing multiple users to work on the same mind map simultaneously, which is great for team projects and brainstorming sessions.
  • Version History
    Coggle automatically saves a version history of your mind maps, enabling users to track changes and revert to previous states if needed.
  • Integrations
    Coggle integrates with popular tools like Google Drive, making it easy to export, share, and import documents and mind maps.
  • Cross-Platform Accessibility
    Available as a web application, Coggle can be accessed from any device with an internet connection, providing flexibility and convenience.

Possible disadvantages of Coggle

  • Limited Free Version
    The free version of Coggle has limitations, such as the number of private diagrams you can create. Upgrading to a paid plan is required for more advanced features.
  • Performance Issues
    With very large or complex mind maps, users may experience performance issues such as lag or slow loading times.
  • Limited Customization
    The customization options for colors, fonts, and styles are somewhat limited compared to other mind mapping tools, which can be a drawback for users seeking highly personalized diagrams.
  • Learning Curve for Advanced Features
    While the basic features are user-friendly, there is a learning curve for more advanced functionalities, which may require some time and effort to master.
  • Dependency on Internet
    Since Coggle is mainly a web-based application, it requires a stable internet connection to function, limiting offline accessibility.

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.

Analysis of Coggle

Overall verdict

  • Yes, Coggle is generally considered a good tool for creating mind maps and organizing information visually. It is user-friendly and offers collaborative features.

Why this product is good

  • Coggle is appreciated for its simplicity and intuitive design, making it easy to create and share mind maps. The tool's real-time collaboration feature allows multiple users to work on the same diagram simultaneously, which is beneficial for group projects or brainstorming sessions. Additionally, Coggle integrates well with various other tools and platforms, enhancing its usability.

Recommended for

  • Students who need to organize their study notes
  • Teachers creating educational materials
  • Teams looking to brainstorm or plan projects collaboratively
  • Individuals who prefer visual organization tools over traditional note-taking methods

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Coggle videos

+ Add

Coggle Review - Coggle Mind Map Tool

More videos:

  • Review - Coggle It Review
  • Review - Coggle Review - Visual Mapping Review Series 2014

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Coggle and Matplotlib)

Coggle

Matplotlib

Brainstorming And Ideation
100 100%
Brainstorming And Ideation
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Idea Management
100 100%
Idea Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
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 Coggle and Matplotlib

Coggle Reviews

Compare The 10 Best Mind Mapping Software of 2021
Coggle’s useful features include auto-arranging branches, image uploads/attachments, a full change history, and collaborative drawing. You can download your mind maps as PDFs or image files, and you can also export as .mm and text as well as export to Microsoft Visio. Another way to share your mind maps is through embeddable diagrams, meaning that you can display your Coggle...
Source: thedigitalprojectmanager.com

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

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Coggle. It has been mentiond 107 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.

Coggle mentions (12)

  • I tried and failed
    I find that reflecting on my experiences and going out of my way to really analyze the pitfalls and things done correctly helps a lot. I normally use coggle.it to mind map the whole experience overview and then which elements of the project seemed to be improvements and which parts where potentially poorly executed. I often find a lot more nuance this way than just scanning over it in my head. Source: about 2 years ago
  • How do I guide the Web dev?
    In any case, any software that can create a visualization of a tree-like diagram will do the job. I'd recommend https://coggle.it/. Source: over 2 years ago
  • Mind Maps
    I have spent more time than I'd like to admit researching the different programs out there. Mindmup , Coggle, and Mindmesiter came the closest, but definitely not perfect. These are some of the features I am looking for:. Source: almost 3 years ago
  • Need help reviewing my thought process around organizing my data
    Did it using https://coggle.it .. I have mindmaps self-hosted too but I feel this is much easier on the eye. Source: almost 3 years ago
  • Question: is there a comprehensive list of people who are part of the fandom menace?
    Ah, because I found this mapping website called coggle.it and I was just wondering what if we made a map of including all the members of the fandom menace to see how big and how many members or connections they have, that's all really. Source: almost 3 years ago
View more

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 / 3 months 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 / 7 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 / 10 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 / 11 months ago
  • Something is strange with CrowdStrike timeline
    It looks like matplotlib to me: https://matplotlib.org/. - Source: Hacker News / 11 months ago
View more

What are some alternatives?

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

Xmind - Xmind is a brainstorming and mind mapping application.

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

MindMeister - Create, share and collaboratively work on mind maps with MindMeister, the leading online mind mapping software. Includes apps for iPhone, iPad and Android.

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

MindManager - With MindManager, flexible mind maps promote freeform thinking and quick organization of ideas, so creativity and productivity can live in harmony.

Plotly - Low-Code Data Apps

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