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TrackingMore VS Matplotlib

Compare TrackingMore VS Matplotlib and see what are their differences

TrackingMore

TrackingMore provides the best multi-carrier shipment tracking API solution, which supports tracking across 1,300+ carriers and 80+ airlines.

Rating
5.0 · 5 reviews
Pricing
Freemium Free trial $11 / Monthly (200 credits)
Alternatives Is it good?
Matplotlib

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

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Recalert.us
Free recall lookup for U.S. businesses. Search CPSC, FSIS, NHTSA and FDA product recalls by product, brand, model or UPC in seconds. sponsored
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 TrackingMore. While we know about 114 links to Matplotlib, we've tracked only 3 mentions of TrackingMore.

social mentions
3 vs 114
Shipping and Tracking popularity
100% vs 0%
alternatives listed
148 vs 240+

Base details

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

TrackingMore
Matplotlib
Website trackingmore.com matplotlib.org
Pricing
Freemium Free trial $11 / Monthly (200 credits) Official pricing
Open source
Platforms
Shopify WooCommerce Amazon
—
Company Startup from the United States · 100 - 249 employees · 2014 —
Listed in
Shipping and Tracking eCommerce Logistics Delivery Management System +1
Data Science And Machine Learning Development Data Visualization Javascript UI Libraries +1

About TrackingMore and Matplotlib

In their own words, as submitted to SaaSHub.

TrackingMore
Matplotlib

We have been dedicated to providing enterprise-grade tracking API services, earning the trust of over 10,000 enterprises worldwide, including industry leaders, such as Shein, DJI, AliExpress, Kaufland, DP World, Printify, and so on. Our customers span across a variety of industries, including...

Read more about TrackingMore

No description of Matplotlib yet.

Features and specs

What each product offers, as listed by its team.

TrackingMore 9 features
Matplotlib 6 features
  • Multi-carrier Support
    Integration with 1,300+ global carriers including USPS, UPS, DHL, FedEx, Royal Mail, and China Post.
  • AWB Tracking
    Coverage of 80+ international airlines with air waybill tracking support.
  • Tracking API and Webhook
    RESTful API and webhook integration for real-time tracking data synchronization and automated status updates.
  • CSV Bulk Tracking
    Efficiently process and track multiple shipments simultaneously through CSV file upload.
  • Unified Shipment Dashboard
    Centralized dashboard with customizable filters and labeling for efficient shipment monitoring.
  • Automated Shipping Notifications
    Automated email and SMS notifications for key shipping milestones.
  • Branded Tracking Page
    Branded tracking page to reduce WISMO inquiries and enhance brand exposure.
  • Analytics and Reporting
    Comprehensive analytics dashboard for data-driven logistics optimization and decision making.
  • Multi-Language Support
    Tracking status available in 9 languages including English, Spanish, German, French, Portuguese, Japanese, Chinese, and Polish.

Possible disadvantages

  • Cost
    While it offers a free tier, the advanced features and higher volume usage come with a subscription cost, which may be expensive for small businesses.
  • Learning Curve
    Despite its user-friendly interface, some users might experience a learning curve in navigating the more advanced features and settings.
  • Customer Support
    Some users have reported issues with the responsiveness and effectiveness of customer support.
  • Data Accuracy
    There have been occasional reports of data inconsistencies or delays in tracking updates, which can be problematic for time-sensitive shipments.
  • Dependency on Carrier Information
    The accuracy and timeliness of the tracking information largely depend on the data provided by the carriers, which can vary in quality.
  • 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.

Analysis

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

TrackingMore
Matplotlib

Overall verdict

  • Yes, TrackingMore is generally regarded as a reliable and efficient package tracking service. It provides comprehensive features that cater to diverse tracking needs, making it a valuable tool for both individual users and businesses.

Why this product is good

  • TrackingMore is considered a good package tracking service because it supports a wide range of couriers and shipping services globally, offering real-time tracking updates. Users appreciate its user-friendly interface and the ability to integrate with various e-commerce platforms, which helps businesses and individuals effectively manage their shipments.

Recommended for

    TrackingMore is recommended for e-commerce businesses seeking to enhance their logistics and customer service, as well as for individuals who need to track multiple shipments from different couriers efficiently.

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.

Videos

Walkthroughs and reviews on video.

TrackingMore 2 videos + Add
Matplotlib 1 video + Add

About TrackingMore

More videos

  • - TrackingMore Multi-Carrier Shipment Tracking API Quick Start Guide

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

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

Questions & Answers

As answered by people managing TrackingMore and Matplotlib.

What makes your product unique?

TrackingMore's answer

TrackingMore stands out with its robust tracking API which is integrated with1,300+ carriers and 80+ airlines. Our competitive advantages include:

  • Enterprise-grade API infrastructure with 99.9% uptime guarantee
  • Real-time tracking updates with standardized data format across carriers
  • Comprehensive feature set including CSV tracking, branded tracking page, shipping notifications, and analytics
  • Multi-language tracking status support for global businesses
  • Flexible integration options with API, webhook, and bulk processing capabilities
  • Advanced tracking technology with auto-carrier detection
  • 24/7 technical support and detailed API documentation

Why should a person choose your product over its competitors?

TrackingMore's answer

TrackingMore is super easy to use—we've got detailed API docs and SDK resources in 7 programming languages to help you get started quickly. Plus, our friendly technical team is here 24/7 to help you out! With cost-effective pricing and lots of customization options, you can build the perfect tracking solution for your business.

Which are the primary technologies used for building your product?

TrackingMore's answer

TrackingMore is built with robust and modern technologies to ensure reliable tracking data processing and delivery. Our infrastructure is designed to provide high performance, security, and scalability for our global tracking solutions.

How would you describe the primary audience of your product?

TrackingMore's answer

TrackingMore serves a diverse range of businesses including e-commerce merchants, marketplace platforms, logistics service providers, system integrators, software developers, and financial institutions. Whether you need a simple tracking widget or enterprise-level tracking solutions, TrackingMore is your trusted partner in global logistics visibility.

What's the story behind your product?

TrackingMore's answer

TrackingMore has become the leading tracking API solution chosen by more than 10,000 companies since 2014. We have been focusing on logistics for over ten years. By constantly improving services, and listening carefully to customers' demands, TrackingMore strives to provide users with the best service!

Who are some of the biggest customers of your product?

TrackingMore's answer

  • SHEIN
  • DJI
  • AliExpress
  • Kaufland
  • Aukey
  • DHgate
  • Printify

User comments

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

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Reviews and articles

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

TrackingMore 5.0 · 5 reviews
Matplotlib no reviews yet
  • Excellent Tracking Service With Great Support
    SaaSHub review
    · Mar 2025

    The customer service team is equally outstanding—responsive, knowledgeable, and always ready to assist with any inquiries or issues. Whether it’s resolving technical concerns or providing integration support, they...

  • ⭐️⭐️⭐️⭐️⭐️ Excellent Tracking Solution & Amazing Support!
    SaaSHub review
    · Mar 2025

    I've been using TrackingMore, and it has completely streamlined my order tracking process! The platform is user-friendly, integrates seamlessly with multiple carriers, and provides real-time updates, which has been a...

  • Reliable Shipment Tracking
    SaaSHub review
    · Mar 2025

    The system is reliable, especially the tracking page. It is integrated well with multiple carriers, and displays complete shipping updates. If you're looking for a tracking solution that enhances customer experience...

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Social recommendations and mentions

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

TrackingMore 3 mentions
Matplotlib 114 mentions
  • What's the deal?
    The Chinese suppliers enter all the USPS tracking numbers into a database that you can track via 17track.net or trackingmore.com and selecting LTEXP as the carrier. Beware however that this tracking information can be manipulated so you... Source: over 3 years ago
  • AliExpress
    I can use trackingmore.com put in the tracking number and then changing the courier to Ltexp and that will provide you with more information, for the most part. Like I have a package arriving from China. It says 4/25/2023 Jamaica, NY... Source: over 3 years ago
  • QSC delivery time?
    Go to trackingmore.com and enter the tracking number, but for carrier, instead of using USPS, enter LTexp from the drop box. It will show you the actual tracking from where it started in China. Source: over 3 years ago
  • 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

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Alternatives to TrackingMore and Matplotlib

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

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