Software Alternatives, Accelerators & Startups

Mailjoy VS Matplotlib

Compare Mailjoy VS Matplotlib and see what are their differences

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Mailjoy logo Mailjoy

Delightfully easy direct mail marketing. A DIY direct mail tool created for marketing and growth teams. Design, mail & track personalized direct mail postcards and letters. Digital marketers use Mailjoy to send data-driven mail campaigns.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Mailjoy Landing page
    Landing page //
    2023-01-27

Why Mailjoy?

Compared to digital channels, mail is an unsaturated channel that until recently has been generally inaccessible and lacked personalization. Mailjoy is the tool to reach customers or prospects with mail that's relevant and timely to them. Start by customizing any of our free postcard and letter templates.

Mailjoy provides a ton of features to help you create mailing lists from your contacts, design beautiful postcards and letters, track the results, and integrate with other tools you already use. Sending a campaign takes only minutes. Use Mailjoy for a single campaign or make it a part of your marketing toolkit.

  • Promote a sale - Surprise your best customers with a special coupon code during your next sale.
  • Win back customers - Reengage customers who've unsubscribed from your product by offering them a discount.
  • Market real estate opportunities - Send personalized real estate postcards with data on the property your're mailing to.
  • Send thank you and holiday messages - Delight your customers by sending them a personalized card. They'll appreciate it.
  • Craft a personal welcome - Send personalized direct mail to welcome new customers to your product or service.
  • Run multi-channel marketing campaigns - Reach customers in your next marketing campaign through email and mail simultaneously.
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Mailjoy features and specs

  • All in one pricing
    Our simple pricing is fully inclusive of printing, mailing & tracking.
  • Free design templates
    Many design templates, and you can customize any of them to make the design your own.
  • Powerful, easy to use designer
    No need to hire a designer or use expensive software.
  • Delivery tracking
    Mailjoy provides postcard-level delivery tracking. See when each individual mailer is delivered.
  • Personalization
    Incorporate any of your recipients' data to make each postcard unique.
  • Conversion tracking
    See exactly who converted in your campaigns. You can even get notified and automate a followup action when a conversion occurs with our Zapier integration.
  • Integrate with Zapier
    We connect to 5,000+ other apps through our integration with Zapier.
  • API
    We provide a RESTful API to let you integrate with your own workflows.
  • Enterprise pricing
    Ask us - support@mailjoy.com
  • Volume discounts
    Ask us - support@mailjoy.com
  • Agency discounts
    Ask us - support@mailjoy.com
  • Non-profit discounts
    Ask us - support@mailjoy.com

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.

Mailjoy videos

Your customers' inbox is full. Try mail!

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Mailjoy and Matplotlib)
Web To Print
100 100%
0% 0
Data Science And Machine Learning
Direct Mail
100 100%
0% 0
Technical Computing
0 0%
100% 100

Questions & Answers

As answered by people managing Mailjoy and Matplotlib.

What makes your product unique?

Mailjoy's answer

Compared to digital channels, mail is an unsaturated channel that until recently has been generally inaccessible and lacked personalization. Mailjoy is the tool to reach customers or prospects with mail thatโ€™s relevant and timely to them. Start by customizing any of our free postcard and letter templates.

How would you describe the primary audience of your product?

Mailjoy's answer

We value our small, scrappy customers just as highly as our larger clients, therefore we are on a mission to bring the best tools to the masses, streamlined in a way that allows anyone to dive in and get started in minutes.

What's the story behind your product?

Mailjoy's answer

When we launched Mailjoy on Product Hunt we received over 700 upvotes and ended up #2 for the day. We were ecstatic, but the real story here is that we actually launched nearly a month earlier without the fanfare of a traditional tech launch.

We had quietly launched Mailjoy a month earlier to a portion of our network through email outreach, Facebook, and Twitter. We had two asks: One was to share with people who might be a good fit for this. The other was to share the website more broadly on social. We ended getting over a dozen shares across different channels which drove 100โ€™s of visitors to the site.

Our first customer came from a share by a friend. By launching early, we found someone who cared enough to take a chance on us right away.

As much as we learned what converted visitors to become customers, we learned what was lacking and caused people not to convert. This helped us reprioritize our roadmap before the Product Hunt launch.

I like to consider a marketing site the showroom that entices people to take a test drive. If the showroomโ€™s offering isnโ€™t appealing, do people really want to go for a test drive? Probably not. We quickly learned what copy we were missing, as well as how potential customers viewed the product based on how we marketed it.

Our code wasnโ€™t perfect and we had bugs. Thatโ€™s OK. Visitors and users gladly pointed what wasnโ€™t working. P.S โ€” We quickly fixed things.

With a successful launch on Product Hunt behind us, we have more customers, received more feedback, and once again, are reprioritizing our short-term roadmap for things that drive the most growth and solve usability challenges. I fundamentally believe that shipping as soon as possible is the key to maximizing your learnings, and, ultimately, growing faster.

Remember, done is better than perfect.

Why should a person choose your product over its competitors?

Mailjoy's answer

Mailjoy has a ton of features to help you create mailing lists from your contacts, design beautiful direct mail postcards and letter mailers, track the results, and integrate with other tools you already use. Sending a campaign takes only minutes. Use Mailjoy for a single campaign or make it a part of your marketing toolkit.

Additionally, Mailjoy provides recipient-level delivery tracking, conversion tracking, customer attribution, and the ability to get notified the moment a conversion happens - using unique per-mailer URLs and QR codes.

We've made sending direct mail as trackable and smart as email. Never send another direct mail campaign without the ability to track your return on investment again.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Mailjoy and Matplotlib

Mailjoy Reviews

8 Best Postcard Design Software for Custom Postcards
Verdict: If you are on the lookout for user-friendly postcards software, Mailjoy may be an ideal fit. It comes with a broad collection of fonts, images, and shapes that you can use in custom designs. With this program at your disposal, you donโ€™t need to order postcard design from graphic design companies or hire freelance experts. The best part is that you can craft...
Source: fixthephoto.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.
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 more popular. 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.

Mailjoy mentions (0)

We have not tracked any mentions of Mailjoy yet. Tracking of Mailjoy recommendations started around Mar 2021.

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 Mailjoy and Matplotlib, you can also consider the following products

The Simple Postcard - Text a photo to mail it as a postcard

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

Canva - Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.

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

Local Mail by Mailjoy - The easiest way to mail potential customers in an area

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