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Matplotlib VS Easyship

Compare Matplotlib VS Easyship and see what are their differences

Agiliron
Omni-Channel SaaS Solution Suite for Retail, Wholesale & eCommerce businesses featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

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

Easyship logo Easyship

Easyship, the #1 global cloud-based shipping software, is a technology platform that helps eCommerce and crowdfunding merchants ship worldwide.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Easyship Landing page
    Landing page //
    2023-03-15

Our platform plugin and integrations enable stores to print labels, automate international paperwork, display real-time courier rates, and offer their customers dynamic tax and duties at checkout.

Easyship makes shipping globally so simple, that anyone can get started in a couple clicks. Online sellers can leverage over 250+ shipping solutions and 50+ couriers, while saving up to 70% on shipping rates. Growing businesses can also join their network of more than 20+ 3PL partners worldwide, giving them the opportunity to provide faster delivery to overseas customers.

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.

Easyship features and specs

  • Multiple Shipping Options
    Easyship offers a variety of shipping solutions from different carriers, giving users the flexibility to choose the best option for their needs and budget.
  • Rate Comparison
    The platform allows for easy comparison of shipping rates from multiple carriers, helping businesses save money by choosing the most cost-effective option.
  • Worldwide Coverage
    Easyship supports international shipping, making it easier for businesses to expand their customer base globally.
  • Customs and Duties Management
    Automatically calculates customs duties and taxes, reducing the chances of delays and unexpected costs.
  • User-Friendly Interface
    The application provides an intuitive and easy-to-use interface, which simplifies the shipping process for businesses of all sizes.
  • Real-Time Tracking
    Supports real-time tracking, allowing customers to stay informed about the status of their shipments.
  • Integration Capabilities
    Easily integrates with multiple e-commerce platforms like Shopify, WooCommerce, and Magento, streamlining the shipping process.
  • Automated Label Generation
    Facilitates automated generation of shipping labels, saving time and reducing the risk of labeling errors.

Possible disadvantages of Easyship

  • Pricing Complexity
    The variety of options and additional services can make pricing complex and sometimes difficult to understand.
  • Limited Customer Support
    Some users have reported that customer support can be slow or unresponsive during high-demand periods.
  • Integration Issues
    Occasional issues with platform integrations have been reported, which can disrupt the shipping process.
  • Cost for Small Businesses
    Can be relatively expensive for small businesses or startups with low shipping volumes.
  • Learning Curve
    While the interface is user-friendly, new users might experience a learning curve when first navigating the platform.
  • Payment Delays
    There have been instances of payment delays, which can affect cash flow for businesses relying on timely reimbursements.

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.

Analysis of Easyship

Overall verdict

  • Easyship is considered a good choice for eCommerce businesses looking to simplify their shipping processes, reduce costs, and expand their market reach. The wide range of features and integrations, coupled with competitive pricing, makes Easyship a reliable and efficient tool for managing logistics.

Why this product is good

  • Easyship is a comprehensive shipping platform that caters to eCommerce businesses by offering innovative shipping solutions. It provides access to multiple courier services, transparent pricing, and a user-friendly interface. It helps businesses automate logistics, optimize shipping processes, and reach a global audience efficiently. The platform integrates with a variety of eCommerce platforms, enhancing usability and streamlining operations. Additionally, features such as real-time tracking, tax and duty calculation, and custom branding options add significant value for online retailers.

Recommended for

    Easyship is recommended for small to medium-sized online retailers, eCommerce businesses seeking to expand internationally, and companies that require a reliable shipping management solution with advanced features and integrations. It's especially beneficial for those looking to automate shipping and optimize costs while maintaining flexibility and control over logistics operations.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Easyship videos

+ Add

How to get a quote on Easyship

More videos:

  • Tutorial - How to connect your store on Easyship
  • Review - Easyship - Feature Overview

Category Popularity

0-100% (relative to Matplotlib and Easyship)

Matplotlib

Easyship

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Shipping and Tracking
0 0%
Shipping and Tracking
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
eCommerce
0 0%
eCommerce
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 Matplotlib and Easyship

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

Easyship Reviews

We have no reviews of Easyship yet.
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Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Easyship. While we know about 114 links to Matplotlib, we've tracked only 1 mention of Easyship. 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.

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

Easyship mentions (1)

  • Do you use Global Shipping Program option? US Sellers Only.
    When I do go back to selling on eBay, I plan to remove GSP and instead offer direct shipping to the buyer using FedEx International Priority. I have a duties calculator provided by easyship.com that gives reasonably close duties estimates. I do not want to use USPS since I paid for their fastest service (Express Int'l) only to have the item sit in chicago for an entire month before it moved again to to buyer's... Source: over 5 years ago

What are some alternatives?

When comparing Matplotlib and Easyship, you can also consider the following products

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

ShipStation - Seamless eCommerce shipping fulfillment software. Wherever you sell, however you ship, ShipStation can help. Auto order import, batch label print, & more!

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

Shippo - Shipping, easy and affordable for everyone. A set of unified APIs and tools that instantly enables you to ship your goods internationally

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

ShippingEasy - ShippingEasy is just that: Shipping made easy. Process orders, automate shipping, get discounted rates, and optimize your entire shipping process.

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