Software Alternatives, Accelerators & Startups

Short.io VS Matplotlib

Compare Short.io VS Matplotlib and see what are their differences

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Short.io logo Short.io

Short.io makes short links (vanity urls) on your own domain. Free signup, analytics and API. Chrome, slack, zapier and segment integrations.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Short.io Landing page
    Landing page //
    2021-10-05
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Short.io features and specs

  • Ease of Use
    Short.io features an intuitive user interface, making it easy for users to create, customize, and manage shortened URLs.
  • Custom Domains
    Users can connect their own domains to create branded short links, which can enhance branding and trust.
  • Detailed Analytics
    Provides comprehensive analytics on link performance, including click rates, geographic distribution, and referrer information.
  • Link Management
    Offers robust link management features, such as the ability to edit URLs after they've been created, set expiration dates, and organize links into folders.
  • Integration
    Supports integration with various third-party services like Zapier, Google Analytics, and Slack, making it adaptable to different workflows.
  • Security
    Provides features like password protection and SSL encryption to ensure the security of your links.

Possible disadvantages of Short.io

  • Pricing
    Some advanced features are only available in the paid plans, which might be too costly for small businesses or individual users.
  • Limited Free Plan
    The free plan comes with limitations on the number of custom domains and links that can be created, which may not be sufficient for heavy users.
  • Learning Curve
    While generally user-friendly, some advanced features and integrations may require a bit of a learning curve for new users.
  • Support
    Customer support may not be very responsive on the free plan, potentially leading to delays in resolving issues.

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 Short.io

Overall verdict

  • Yes, Short.io is considered a good choice for individuals and businesses looking for a reliable URL shortener with comprehensive features. Its ability to offer branded links, detailed analytics, and integration possibilities with other tools makes it a standout option in the market.

Why this product is good

  • Short.io is a URL shortening service known for its ease of use, robust analytics, and custom domain capabilities. It helps businesses and individuals manage and track their link performance with advanced analytics features. This can be particularly advantageous for social media marketing, branding, and data-driven strategies.

Recommended for

    Short.io is recommended for businesses, digital marketers, social media influencers, and any individuals who need to manage multiple links with custom domains while tracking detailed user engagement data.

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.

Short.io videos

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Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Short.io and Matplotlib)
URL Shortener
100 100%
0% 0
Data Science And Machine Learning
Link Management
100 100%
0% 0
Technical Computing
0 0%
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 Short.io and Matplotlib

Short.io Reviews

Top 10 Bitly alternatives and competitors in 2025
Initially launched as short.cm, to be rebranded from Short.cm to Short.io to reflect its broader vision and global reach better. The platform expanded its features to meet these needs, introducing capabilities like geo-targeting, link expiration rules, branded QR codes, and advanced analytics.
Source: blog.replug.io
10 Excellent Google URL Shortener Alternatives
Short.io has a free plan with basic features. However, to access advanced analytics, you must upgrade to one of their paid plansโ€”Personal ($19/month), Team ($49/month), or Enterprise ($149/month). You can also choose annual billing and get a 17% discount.
Source: bitly.com
07 Best Bitly Alternative You Will Only Need (FREE)
Short.io is one of the best URL shortening alternatives available, and itโ€™s free too!? If youโ€™re looking for a quick and easy way to shorten your URLs, Short.io is definitely worth considering. Not only is it free to use, but it also offers a wide range of features that make it one of the most powerful URL shortening tools out there.
11 Best Bitly Alternatives & Similar URL Shorteners
As mentioned earlier, there are a series of bit ly alternatives out there. And if you are looking for one of the best, Short.io is definitely another name you should consider. Just like other best alternatives for link shorteners, you can monitor the performance of each link.
Top 8 Alternatives of Bit.Ly in 2023
Another effective custom domain URL shortener is Short.io. It furnishes its link-shortening services in your own domain. It is popular because of its quick customer support and affordable prices. Moreover, Short.io furnishes detailed statistics for domain and short links.

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.
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.
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.
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...

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Short.io. While we know about 114 links to Matplotlib, we've tracked only 8 mentions of Short.io. 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.

Short.io mentions (8)

  • URL shorteners and why would you need one?
    Choose a shortener: Pick a link shortener that fits your needs---many offer options like custom branding, QR code creation, and analytics. Ziplink, Short.io, and Bitly are all capable of that. If you are looking for something really simple, you may want to check out TinyURL as well. - Source: dev.to / over 1 year ago
  • Whatโ€™s the best way to share video with a single-use link?
    Same, but a little more elegant is short.io. It's a link shortener, but with a $19/month plan you can add a ton of customization to your links. One of those being limit on clicks. Same problem here that the file is still hosted elsewhere and available if they happen to copy the URL from the address bar. Source: about 3 years ago
  • We've built our startup's app entirely using Glide & Integromat
    Can I ask you how you have integrated short.io into your app? Via Zapier or API? Source: almost 4 years ago
  • Compatibility with Short.io
    Just tried it and https://short.io only allows domains that end with specific TLDs (ICANN's list). So while nothing in Handshake is blocking the service, the service needs to loosen up the restrictions to be able to link handshake names. Source: almost 4 years ago
  • Someone on here posted a link to their podcast a few months ago and apologized for it being a linktree. Is that bad?
    Https://short.io on their free tier you can make a smart link like listen.yourdomain.com that sends an apple mobile user to your podcast on iOS, an android mobile user to your podcast on google's podcast app, and a desktop/laptop browser to your website. Source: about 4 years ago
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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 / 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 / 8 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 / 9 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

What are some alternatives?

When comparing Short.io and Matplotlib, you can also consider the following products

Bitly - Get the most out of your social and online marketing efforts. Own, understand and activate your best audience through the power of the link with Bitly Enterprise.

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

Rebrandly - Rebrandly is the easiest way to create, share and manage branded links.

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

TinyURL - Are you sick of posting URLs in emails only to have it break when sent causing the recipient to...

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