Software Alternatives & Startups

Matplotlib VS 99designs

Compare Matplotlib VS 99designs and see what are their differences

Matplotlib

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

Rating
0 reviews
Pricing
Open source
99designs

The #1 marketplace for graphic design, including logo design, web design and other design contests. Start a contest now with 100% Money-Back Guarantee!

Rating
0 reviews
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Matplotlib should be more popular than 99designs. It has been mentioned 114 times since March 2021.

social mentions
114 vs 28
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
239 vs 240+

Base details

Website, pricing, platforms and company facts side by side.

Matplotlib
99designs
Website matplotlib.org 99designs.com
Pricing
Open source
Listed in

Features and specs

What each product offers, as listed by its team.

Matplotlib 6 features
99designs 6 features
  • 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

  • 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.
  • Variety of Designs
    The platform provides access to a wide range of design concepts from multiple designers, increasing the likelihood of finding a design that best fits your needs.
  • Competitive Pricing
    Clients can choose from different pricing packages to fit their budget, with competitive pricing due to the large number of designers.
  • High-Quality Designers
    99designs has a rigorous vetting process, ensuring that many of the designers available on the platform are skilled and experienced.
  • Easy to Use
    The platform is user-friendly, making it easy for clients to post projects, communicate with designers, and review submissions.
  • Global Talent Pool
    Access to a global community of designers provides diverse perspectives and creativity, which can be advantageous for unconventional or unique projects.
  • Fast Turnaround Time
    Clients can receive multiple design submissions quickly, reducing the time it takes to finalize a design.

Possible disadvantages

  • Quality Control
    With a large number of submissions, there is a possibility of receiving a mix of high and low-quality designs, requiring more time for review.
  • Cost Can Add Up
    While there are various pricing packages, opting for a higher level of service or guaranteeing higher prizes can significantly increase costs.
  • Intellectual Property Concerns
    In some cases, there may be concerns about the originality of submitted designs, necessitating thorough checks to ensure designs are not plagiarized.
  • Communication Barriers
    Working with international designers can sometimes result in communication challenges, including language barriers and differing time zones.
  • Non-Refundable Fees
    Some fees, such as those for additional services or premium packages, are non-refundable, even if the design project does not meet expectations.
  • Limited Revisions
    Depending on the selected package, there may be a limit to the number of revisions allowed, which could be restrictive for clients requiring extensive changes.

Analysis

An editorial look at what each product does well and who it suits.

Matplotlib
99designs

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.

Overall verdict

  • Overall, 99designs is considered a good choice for both designers looking to find work and businesses or individuals seeking design services. It provides a straightforward process for both parties and generally results in creative and satisfying outcomes.

Why this product is good

  • 99designs is a popular platform for freelance designers and businesses to connect. It offers a wide range of design services, from logo and website design to packaging and book covers. Designers compete by submitting their work in response to a client's brief, allowing clients a variety of high-quality design options to choose from. The platform is known for its ease of use, diverse talent pool, and the ability to see multiple designs before making a selection.

Recommended for

    99designs is highly recommended for small to medium-sized businesses, startups, and individuals seeking quality design work and willing to invest in a competitive design process. It's also suitable for freelance designers looking for new opportunities and willing to participate in design contests to showcase their skills.

Videos

Walkthroughs and reviews on video.

Matplotlib 1 video + Add
99designs 2 videos + Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

99designs Review: Watch me get a new logo!

More videos

  • - 99Designs Review and Overview

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Matplotlib
99designs
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Matplotlib no reviews yet
99designs no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Matplotlib 114 mentions
99designs 28 mentions
  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 8 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes it’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... - Source: dev.to / 11 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 / 12 months ago

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  • Ask HN: Contest Website for Developers\Designers?
    Https://99designs.com has contest-like feature for designers. I was satisfied with the results when I used them 10 years ago. - Source: Hacker News / over 2 years ago
  • Hi everyone! Is this a good book cover?
    This company is cheaper, but also does good work: Https://99designs.com/. Source: over 3 years ago
  • How do you get a logo for your cool new beer league team?
    99Designs is the contest one I know about. Source: over 3 years ago

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Alternatives to Matplotlib and 99designs

When comparing Matplotlib and 99designs, you can also consider the following products.