Software Alternatives & Startups

Matplotlib VS AfterShip

Compare Matplotlib VS AfterShip and see what are their differences

Matplotlib

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

Rating
0 reviews
Pricing
Open source
AfterShip

AfterShip is the shipment tracking API for ecommerce businesses and marketplaces.

Rating
0 reviews
Pricing
Freemium Free trial
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.

Which is more popular?

Based on our record, Matplotlib seems to be a lot more popular than AfterShip. While we know about 114 links to Matplotlib, we've tracked only 4 mentions of AfterShip.

social mentions
114 vs 4
Data Science And Machine Learning popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

Matplotlib
AfterShip
Website matplotlib.org aftership.com
Pricing
Open source
Freemium Free trial Official pricing
Platforms —
REST API Shopify Magento
Company — Startup from Hong Kong · 250 - 499 employees · 2012
Listed in

About Matplotlib and AfterShip

In their own words, as submitted to SaaSHub.

Matplotlib
AfterShip

No description of Matplotlib yet.

AfterShip is an automated tracking solution and API for eCommerce Support tracking 538 international couriers worldwide

Read more about AfterShip

Features and specs

What each product offers, as listed by its team.

Matplotlib 6 features
AfterShip 5 features
  • 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

  • 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.
  • Comprehensive Tracking
    AfterShip supports tracking for over 900 couriers worldwide, allowing businesses to consolidate tracking information in one platform.
  • Customizable Notifications
    The platform offers customizable email and SMS notifications to keep customers informed about their order status, improving customer satisfaction.
  • Analytics and Insights
    Users can access detailed analytics and reports to gain insights into shipping performance, helping businesses optimize their shipping processes.
  • Integration Capabilities
    AfterShip can be integrated with various e-commerce platforms like Shopify, WooCommerce, and Magento, as well as other third-party applications, enhancing its usability.
  • User-Friendly Interface
    The platform is designed with a user-friendly interface, making it easy for businesses to navigate and manage shipments efficiently.

Possible disadvantages

  • Cost
    AfterShip can be expensive for small businesses or startups, especially if they need advanced features or high volumes of shipments.
  • Learning Curve
    While the interface is user-friendly, the range of features available may require a learning curve for new users to fully leverage all functionalities.
  • Limited Free Plan
    The free plan has limited features and supports only a small number of shipments, which may not be sufficient for growing businesses.
  • Dependency on Courier APIs
    The accuracy and timeliness of tracking information are dependent on the courier APIs, which can sometimes lead to delays or inconsistencies.
  • Customer Support
    Some users have reported that customer support can be slow or unresponsive at times, potentially affecting issue resolution and overall experience.

Analysis

An editorial look at what each product does well and who it suits.

Matplotlib
AfterShip

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.

Overall verdict

  • Yes, AfterShip is a good tool for businesses that want to streamline their shipping and tracking processes. It is well-regarded for its user-friendly interface, robust set of features, and ability to improve the overall customer experience.

Why this product is good

  • AfterShip is considered a good choice for businesses looking to enhance their post-purchase experience. It offers seamless package tracking, excellent integration capabilities with eCommerce platforms like Shopify, and automated notifications. It helps to improve customer satisfaction by providing visibility on the shipping process, reducing customer inquiries related to delivery status.

Recommended for

  • E-commerce businesses looking to enhance their customer service.
  • Retail companies with high volumes of shipments.
  • Businesses aiming to reduce support queries related to shipping status.
  • Startups that want an easy-to-integrate tracking solution.

Videos

Walkthroughs and reviews on video.

Matplotlib 1 video + Add
AfterShip 3 videos + Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Aftership Tracking Shopify App Honest Review

More videos

  • - Aftership vs Shopify Shipment Tracking & Notify App
  • - AfterShip - How it works?

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Matplotlib
AfterShip
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Matplotlib and AfterShip. For example, how are they different and which one is better?

Log in or Post with

Reviews and articles

External articles and on-site reviews we used to compare the two products.

Matplotlib no reviews yet
AfterShip no reviews yet

View more

We have no reviews of AfterShip yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Matplotlib 114 mentions
AfterShip 4 mentions
  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 7 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes it’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... - Source: dev.to / 10 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 / 11 months ago

View more

  • 6 days with no updates, did the plane fkin crash???
    Use getcircuit.com or aftership.com instead, they update faster and first before pandabuy. Source: over 3 years ago
  • Shipped 1 week ago and still have not got any new updates
    Try using: aftership.com or epost.go.kr: mine was in that same position and still is on pandabuy app! But when I went epost.go.kr I was able to get an update! I shipped the same date and almost time that your photo shows. Hope this helps! Source: over 3 years ago
  • USPS-Heathrow
    I'd also recommend using your own mail service's website or something like aftership.com because somehow they have better updates than Royal Mail for a lot of packages. Source: over 3 years ago

View more

Alternatives to Matplotlib and AfterShip

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