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Matplotlib VS Invision

Compare Matplotlib VS Invision and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

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

Invision logo Invision

Prototyping and collaboration for design teams
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Invision Landing page
    Landing page //
    2023-10-07

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.

Invision features and specs

  • Collaborative Features
    InVision provides a range of collaborative tools like real-time co-editing, feedback, and comments, which make it easier for teams to work together.
  • Prototyping
    InVision allows for high-fidelity, interactive prototypes that closely mimic the final product, helping stakeholders understand the user experience better.
  • Integrations
    The platform integrates seamlessly with other popular design tools such as Sketch, Photoshop, and various project management tools, enhancing workflow efficiency.
  • User Testing
    InVision supports user testing features that allow designers to gather real-time feedback from end-users, improving the final product's usability.
  • Version Control
    It offers robust version control features, allowing teams to track changes, revert to previous versions, and maintain an organized workflow.
  • Cloud Storage
    Cloud-based storage ensures that all project files are accessible from anywhere, making it convenient for remote teams.

Possible disadvantages of Invision

  • Learning Curve
    The platform can be complex for new users, requiring time to learn and fully understand its extensive features.
  • Performance Issues
    Some users have reported performance issues, particularly with large projects, which can slow down the workflow.
  • Cost
    InVision can be expensive, especially for small teams or freelancers, despite offering many valuable features.
  • Limited Offline Access
    Since it's a cloud-based tool, offline access to projects and files is limited, which can be an issue for teams with unreliable internet connections.
  • Mobile Experience
    The mobile experience is not as robust as the desktop version, which can be limiting for users who need to work on the go.

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.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Invision videos

+ Add

InVision Studio Review | Here's what we think!

More videos:

  • Review - Thoughts On InVision Studio
  • Review - Welcome to InVision Studio | Overview

Category Popularity

0-100% (relative to Matplotlib and Invision)

Matplotlib

Invision

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Prototyping
0 0%
Prototyping
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Design Collaboration
0 0%
Design Collaboration
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 Invision

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 doesnโ€™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

Invision Reviews

10 Best Figma Alternatives in 2024
A visual collaboration tool and best figma alternative called InVision enables communication between designers during many phases of product design, such as development, testing, and prototyping. Itโ€™s also used for UI and UX design.
Source: www.geeksforgeeks.org
9 Best InVision Alternatives to Switch to in 2024
On 4 January 2024, InVision announced that its design collaboration services are shutting down. So, we came up with nine InVision alternatives that you can switch to this year.
Source: designmodo.com
Figma Alternatives: 12 Prototyping and Design Tools in 2024
Invision was created in 2011 and is one of the most powerful applications you can use in 2023 for prototyping, animation, and designing. It has over 7 million global clients and boasts some awards for its cloud-based services.
Source: mockitt.wondershare.com
5 Figma Alternatives for UI & UX Designers
InVision provides an alternative solution to FigJam. As a Figma user, youโ€™re most likely familiar with FigJam already. If not โ€“ it is an online team-based whiteboard interface where you can work together on ideas, set plans in stone, and create visual project trajectories. InVision provides the same exact solution, focusing on affordability (it has a free plan!) and...
Source: stackdiary.com
10 Best Adobe XD Alternatives (Free & Paid)
InVision is an easy-to-use tool that makes designing delightfully simple. You can smoothly create interactive and responsive prototypes. With advanced features like multi-user collaboration, vector editing, transitions & animation tools, workflow synchronization, and robust asset libraries, it is the perfect Adobe XD alternative for creating outstanding UI designs. The tool...
Source: justcreative.com

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Invision. While we know about 114 links to Matplotlib, we've tracked only 4 mentions of Invision. 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 (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 7 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 8 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

Invision mentions (4)

  • The Best 100 Free UI/UX Resources for Every Designer & Developer
    InVision Invisionapp.com Prototyping and collaboration tool with a free plan for up to 3 projects. - Source: dev.to / over 1 year ago
  • Resources for improving UI skills
    Search for UI/Design/Firma Tutorials on YouTube, check out UI related Blog posts on invisionapp.com, check out UI Inspiration muzli. Source: over 3 years ago
  • Migrating to Figma: is there a good alternative to the invisionapp.com website for design documentation and organization?
    We have 100s of different screens to migrate as well as a really large design system, and to date we've been successfully using the invisionapp.com website to keep things really well organized and easy to navigate with tags, pages, etc. We've enjoyed this system so far because it's easy for PMs and Devs to navigate in a website format, without having to learn the design software or get bogged down in artboards. Source: almost 4 years ago
  • Best platform for online tutoring?
    Other options: explain everything whiteboard, invisionapp.com. Source: over 4 years ago

What are some alternatives?

When comparing Matplotlib and Invision, 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.

Moqups - The most stunning HTML5 app for creating resolution-independent SVG mockups, wireframes & interactive prototypes for your next project

NumPy - NumPy is the fundamental package for scientific computing with Python

Balsamiq - Balsamiq. Rapid, effective and fun wireframing software.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

Figma - Team-based interface design, Figma lets you collaborate on designs in real time.

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