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Recurly VS Matplotlib

Compare Recurly VS Matplotlib and see what are their differences

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Shopify Subscription App for Recurring Billing, Subscription Boxes & Customer Retention | Boost LTV & Grow Predictable Revenue featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Recurly logo Recurly

Subscription billing and recurring billing management. Recurly offers enterprise-class subscription billing for thousands of companies worldwide.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Recurly Landing page
    Landing page //
    2023-10-07
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Recurly features and specs

  • Integrations
    Recurly offers extensive integration options with various payment gateways, accounting software, and CRMs, which can streamline operations and enhance functionality.
  • Customization
    The platform provides robust customization options, allowing businesses to tailor the subscription billing process to fit their specific needs and branding.
  • Analytics and Reporting
    Recurly's advanced analytics and reporting features give deep insights into subscription metrics, helping businesses make data-driven decisions.
  • Dunning Management
    The excellent dunning management system helps in recovering failed transactions automatically, reducing churn and improving revenue collection.
  • Global Reach
    With multi-currency and localization support, Recurly is well-suited for businesses that operate internationally.
  • User Interface
    Recurly's user-friendly interface makes it easy for businesses to manage subscriptions, analyze data, and configure settings without requiring extensive technical knowledge.

Possible disadvantages of Recurly

  • Cost
    Recurly can be expensive for small businesses or startups, as it includes a base subscription fee along with transaction fees.
  • Learning Curve
    The platform has a steep learning curve, especially for users who are new to subscription management systems.
  • Limited Invoicing Customization
    Some users find the invoicing customization options to be limited compared to other subscription management platforms.
  • Support for One-Time Payments
    Recurly is primarily focused on recurring billing and may not be the best fit for businesses that need robust support for one-time payments.
  • Customer Support
    Some users report that customer support can be slow to respond and not as helpful as expected, impacting issue resolution.
  • Compliance
    While Recurly has good compliance features, some users might find that it lacks specific compliance certifications or requirements needed for their industry.

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 Recurly

Overall verdict

  • Recurly is generally considered a good choice for subscription management and billing, especially for businesses that require a robust and scalable solution.

Why this product is good

  • Recurly is praised for its ease of use, flexibility, and ability to handle complex billing scenarios. It supports a wide range of payment gateways, offers robust analytics and reporting features, and provides excellent customer support. Additionally, its integration capabilities with other business tools make it a versatile option.

Recommended for

    Recurly is recommended for SaaS companies, subscription-based businesses, and e-commerce platforms that need a reliable and scalable billing solution. It is particularly suitable for businesses looking to streamline recurring billing processes and those that require advanced subscription management features.

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.

Recurly videos

+ Add

Recurly Demo Review - Beginners to Expert PREVIEW by Bizversity.com

More videos:

  • Demo - Recurly Product Demo
  • Review - Recurly Features - Subscription and Recurring Billing

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Recurly and Matplotlib)

Recurly

Matplotlib

Recurring Subscription Billing
100 100%
Recurring Subscription Billing
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Recurring Billing
100 100%
Recurring Billing
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 Recurly and Matplotlib

Recurly Reviews

Top 20 Recurly Alternatives & Competitors in 2025
Navigating the world of Recurly competitors reveals a clear pattern: most platforms ask you to adapt your business to their system. You choose between the enterprise rigor of Zuora, the ecosystem lock-in of Stripe or Salesforce, the high cost of scale with Chargebee, or the simplicity that quickly becomes limiting with tools like QuickBooks.
Source: unibee.dev
Subscription Billing Solutions Comparison: Stripe vs Recurly vs Chargebee vs Rainex
Recurly specializes in subscription billing management, catering to businesses with recurring revenue models. The platform is an all-in-one solution with flexible pricing shaped by the feature set you need. Extensive support for subscription modifications makes Recurly a sought-after choice for businesses with complex billing requirements.
Source: rainex.io
Payment Platforms Comparison: Stripe vs Chargebee vs Paddle vs Recurly
Recurly subscription billing software is a cloud-based billing and invoicing solution. Itโ€™s an integrated subscription management and recurring bill monitoring platform. Recurly can be considered as a third-party billing management service used with existing business merchant accounts.
Source: rainex.io
Would you use Paddle, Chargebee, Chargify, or just Stripe?
I had a couple of clients use Recurly and they preferred it because they could swap the Stripe backend out for another payment process. One of them needed to do that when they got kicked off Stripe. Another did it to save money on payment processing once they got to a certain scale.
Source: www.indiehackers.com
7+ Cheap Competitors & Alternatives To Chargify
Talking about integrations, both the software allow multiple payment integrations but Chargify doesnโ€™t support PayPal integration while Recurly can give you the option to incorporate PayPal in your Recurly account.
Source: www.inkthemes.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 seems to be a lot more popular than Recurly. While we know about 114 links to Matplotlib, we've tracked only 5 mentions of Recurly. 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.

Recurly mentions (5)

  • Ask HN: What are some low cost payment processing alternatives to Stripe?
    Https://recurly.com/ maybe, I can't find this in their pricing page, but from what I know it looks like this: revenue fee 0.500% transaction fee $0.08 and selected plan (there is free one); with your volume that would be around $3.2k a month in fees. - Source: Hacker News / about 3 years ago
  • API monetization using an API Management and a billing provider
    Next, for your API monetization stack, you need a 3rd-party recurring billing solution, such as Stripe, Recurly, Hypercurrent, and many more. But again, we do not recommend any particular payment service in this post and leave the choice of which payment provider to use up to you. The billing provider obviously needs to receive usage charges for each customer, issue an invoice, and support multiple billing models,... - Source: dev.to / almost 4 years ago
  • Anyone know a website builder that can do this?
    And you can use Recurly for recurring payments. Source: over 4 years ago
  • Top 10 paywall services to look forward to in 2020
    Recurly is an enterprise-class subscription management software that reduces the complexities of subscription management in order to maximise and automate revenue growth.it uses an open platform approach to quickly link to a wide range of back-office systems. In addition to allowing lightweight and scalable custom integration, Recurly also has powerful out-of-the-box integrations with enterprise applications such... Source: over 4 years ago
  • For those of you running a SaaS business, how are you receiving recurring payments?
    We are using recurly, works fine too. But I think Stripe is definitely the leader in this area. 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 Recurly and Matplotlib, you can also consider the following products

Chargebee - Chargebee lets you manage subscriptions and payments at scale, handle custom recurring billing scenarios, reduce subscription churn and simplify accounting.

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

Maxio - Chargify is the best online billing software for all of your Recurring Billing needs. Learn more about simplifying your Subscription Billing today.

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

Stripe - Online payment processing for internet businesses. Stripe is a suite of payment APIs that powers commerce for online businesses of all sizes. Use Stripeโ€™s payment platform to accept and process payments online for easy-to-use commerce solutions.

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

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