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Behance VS Matplotlib

Compare Behance VS Matplotlib and see what are their differences

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

Behance logo Behance

The Creative Professional Platform.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Behance Landing page
    Landing page //
    2018-09-30
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Behance features and specs

  • Exposure
    Behance offers a large community of creative professionals, allowing artists and designers to showcase their work to a global audience, increasing visibility and potential opportunities.
  • Networking
    The platform provides opportunities for collaboration and networking with other creative professionals, which can lead to job offers, partnerships, and feedback on work.
  • Portfolio Creation
    Behance allows users to create and maintain an online portfolio easily, helping them to present their work in a well-organized and visually appealing manner.
  • Integration with Adobe Tools
    Behance integrates seamlessly with Adobe Creative Cloud, making it convenient for users to upload and share their work directly from Adobe apps like Photoshop, Illustrator, and Lightroom.
  • Job Listings
    The platform features a job board tailored to creative professionals, offering specialized job opportunities that align with users' skills and interests.
  • Feedback and Engagement
    Users can receive feedback and engagement from the community through comments, appreciations, and shares, helping them to improve their work and build a reputation.

Possible disadvantages of Behance

  • Saturation
    Given the large number of users on Behance, it can be difficult for individual portfolios to stand out, especially in highly competitive fields.
  • Limited Customization
    The platform offers limited customization options for portfolios, which can make it harder for users to create a unique presentation compared to using a personal website.
  • Dependency on Platform
    Relying solely on Behance for portfolio presentation can be risky, as any changes to the platform's policies, visibility, or technology can impact how work is showcased.
  • Quality Control
    Despite being a professional network, the open nature of Behance means that the quality of work can vary significantly, which can dilute the visibility of high-quality projects.
  • Privacy and Copyright Issues
    Displaying high-resolution images of work publicly can raise concerns about privacy and potential misuse or copying of original content without proper credit or compensation.

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 Behance

Overall verdict

  • Behance is generally considered a good platform for creatives to showcase their work, gain visibility, and connect with other professionals. Its strong community aspect and integration with Adobe products add to its appeal, although the best platform can vary depending on individual needs and preferences.

Why this product is good

  • Behance is a popular online platform that allows creative professionals to showcase their work and connect with potential clients and other creatives. It is known for its visually appealing layout and a wide range of creative portfolios across various disciplines like graphic design, illustration, photography, and more. The platform is part of the Adobe Creative Cloud suite, which means it integrates well with other Adobe tools, making it convenient for users who are already engaged in the Adobe ecosystem.

Recommended for

    Behance is recommended for creative professionals such as graphic designers, illustrators, photographers, and artists looking to build an online portfolio, network with industry peers, and potentially attract freelance or full-time job opportunities. It is particularly beneficial for those already using Adobe Creative Cloud applications.

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.

Behance videos

+ Add

Behance Portfolio Review: Live

More videos:

  • Review - Behance Portfolio Review 2: Women Designers Showcase
  • Review - Dribbble vs Behance - Which One Should You Be On?

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Behance and Matplotlib)

Behance

Matplotlib

Social Networks
100 100%
Social Networks
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Design Inspiration
100 100%
Design Inspiration
0% 0
Technical Computing
0 0%
Technical Computing
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 Behance and Matplotlib

Behance Reviews

Top 16 Remote Job Boards to Help You Hire Faster
Why Itโ€™s Great: Behance allows you to view a freelancerโ€™s work upfront, making it easier to assess their style and skills before making contact. This visual-first approach is perfect for businesses needing creative talent for design projects, marketing campaigns, or branding work. With its global community of professionals, Behance helps you connect with highly creative...
Source: www.remotelytalents.com
13 Best DeviantArt Alternatives & Similar Sites
Just like Behance, Dribbble comes with a portal that allows those artists and freelancers to find gigs. More than anything, this site is one of the best places for networking, especially for artists and creative fellows.
Source: www.regendus.com
Top 10 Killer Deviantart Alternatives for Art Communities
Behance is a platform to show and find creative work and is one of the best DeviantArt alternatives. It is perhaps the most famous artistic community used by artists of all levels - experienced professionals to beginners who share some simplest sketches. Also, due to the versatility of the website, many members post much content every day. Behance is one of the best online...
Source: www.acethinker.com
10+ Best Places to Find Free Fonts
Designers share lots of free content on Behance, this includes free fonts as well. A quick search on the platform will bring up an endless list of fonts that are available to download at free of charge.
Source: designshack.net
20 Websites Like DeviantArt {2021}
Worldโ€™s largest creative network website which allows you to showcase creative works. Behance especially focuses on displaying works.
Source: www.techtricksworld.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 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

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Behance. It has been mentiond 114 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.

Behance mentions (35)

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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 / 5 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 / 8 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 / 9 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 / 10 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 / 11 months ago
View more

What are some alternatives?

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

Dribbble - Shots from popular and up and coming designers in the Dribbble community, your best resource to discover and connect with designers worldwide.

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

DeviantArt - deviantART was created to entertain, inspire, and empower the artist in all of us.

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

about.me - About.me lets you quickly build simple and visually elegant splash pages that points visitors to your content from around the web. Get started today.

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

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