Software Alternatives, Accelerators & Startups

Rebrandly VS Matplotlib

Compare Rebrandly VS Matplotlib and see what are their differences

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.

Rebrandly logo Rebrandly

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

Matplotlib logo Matplotlib

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

Rebrandly features and specs

  • Custom Domains
    Rebrandly allows users to create short links using custom domains, enhancing brand visibility and trust.
  • Link Management
    The platform offers comprehensive link management features, including tracking and editing links, which aids in effective campaign analysis.
  • UTM Builder
    Rebrandly includes a UTM builder for adding custom tracking parameters to URLs, helping in detailed campaign tracking.
  • Integrations
    The service integrates with multiple tools and platforms like Google Analytics, Zapier, and more, allowing for seamless workflow automation.
  • Mobile Apps
    Rebrandly provides mobile applications for both iOS and Android, enabling link management on the go.
  • APIs
    The platform offers robust APIs, allowing developers to integrate link management functionality into their own applications.
  • Team Collaboration
    Rebrandly supports team accounts and collaboration features, making it easier for marketing teams to work together.
  • Detailed Analytics
    Provides detailed analytics on link clicks, user demographics, and traffic sources to help optimize marketing strategies.

Possible disadvantages of Rebrandly

  • Pricing
    The pricing plans can be relatively expensive, especially for small businesses or individual users when compared to some other link shorteners.
  • Learning Curve
    New users may find the platform's comprehensive features and interface a bit overwhelming initially.
  • Limited Features on Free Plan
    The free plan is quite limited in terms of features and link tracking capabilities, which could be restrictive for some users.
  • Performance Issues
    Some users have reported occasional performance issues, such as slow load times for the dashboard.
  • API Rate Limiting
    The API has rate limits that might be restrictive for businesses needing to generate a large number of links in a short period.

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 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.

Rebrandly videos

Why I Moved From Bitly To Rebrandly For URL Shortner

More videos:

  • Tutorial - How To Create A Short URL in One Click - Rebrandly Automatic Link Detection
  • Review - 2 Solid Reasons To Change From Bitly to Rebrandly

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Rebrandly 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 Rebrandly and Matplotlib

Rebrandly Reviews

Top 10 Bitly alternatives and competitors in 2025
Rebrandly is a comprehensive link management platform offering features similar to other top tools but with some distinct advantages. Rebrandly as an alternative to Bitly, excels in retargeting by allowing you to add retargeting pixels to links, enabling precise audience targeting for advertising campaigns.
Source: blog.replug.io
11 Best URL Shorteners For 2025 (Comparison)
The tool possesses much of the same features as ClickMeter but is a much lighter product overall. Plus, unlike much of the other tools on this list, Rebrandly is designed to help you promote long links with your own branded shortened domain and doesnโ€™t offer its own. Itโ€™s not a feature but rather the main intent of the brand.
10 Excellent Google URL Shortener Alternatives
Rebrandly is a link management platform that helps people create branded links using custom domain names. With integrations for popular marketing tools like Hubspot, SocialBee, and Zapier, you can use Rebrandly seamlessly with your existing marketing tech stack.
Source: bitly.com
07 Best Bitly Alternative You Will Only Need (FREE)
Rebrandly is a link shortener service that allows you to customize your links with your branded domain name. This can be useful for creating short, memorable links for your website or blog that are easy to share with others. Rebrandly also provides detailed statistics on your linksโ€™ clicks, so you can track your linkโ€™s performance and see how popular it is.
11 Best Bitly Alternatives & Similar URL Shorteners
Are you looking for a Bitly alternative free? Rebrandly is definitely a worth-considering place, after all. Even though the free plan only comes with basic features and limitations, you can give this platform a try for sure.

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 Rebrandly. While we know about 114 links to Matplotlib, we've tracked only 1 mention of Rebrandly. 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.

Rebrandly mentions (1)

  • Strange redirect experience
    This is used by short-link platform rebrandly.com. Source: over 4 years ago

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
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What are some alternatives?

When comparing Rebrandly 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.

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

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

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

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