FastAPI VS TrackingMore

• High Performance
  Built on Starlette and Pydantic, FastAPI is one of the fastest frameworks for Python, providing high performance due to its asynchronous request handling.
• Automatic Interactive API Documentation
  FastAPI automatically generates interactive API documentation via Swagger UI and ReDoc, which are very helpful for development and testing.
• Type Checking and Validation
  With Pydantic models and Python type hints, FastAPI provides automatic data validation and type checking, reducing the chance of runtime errors.
• Ease of Use
  Its syntax and design make it easy to learn for Python developers, offering a smooth development experience while reducing boilerplate code.
• Asynchronous Support
  FastAPI supports asynchronous programming, allowing for better performance for I/O-bound operations, making it optimal for handling many simultaneous connections.
• Extensive Documentation
  It has comprehensive and well-structured documentation, which is very useful for both beginners and advanced users.
• Community and Ecosystem
  FastAPI has a growing community and ecosystem, with many plugins and integrations available to extend its functionality.

Possible disadvantages

• Learning Curve for Asynchronous Programming
  Although FastAPI itself is easy to learn, grasping the concepts of asynchronous programming in Python can be challenging for beginners.
• Complex Dependencies
  Using Pydantic for advanced validation can make the request models complex, requiring a deeper understanding of Pydantic and its functionalities.
• Early Stage Libraries
  Some third-party libraries and extensions specifically tailored for FastAPI might still be in early stages of development and lack long-term stability.
• Limited Real-World Examples
  Although the documentation is extensive, there might be limited real-world examples and case studies readily available compared to more mature frameworks.
• Deployment Complexity
  Deploying FastAPI applications might be more complex in comparison to traditional synchronous frameworks, mainly due to the need for asynchronous server setups.

• 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.

FastAPI from the ground up

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About TrackingMore

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• Rated 5/5 by Kurslog team
  SaaSHub review

  · Apr 2026

  When our backend team needs to build services for data parsing, aggregators, or high-load APIs, FastAPI is our absolute go-to choice. It completely lives up to its name-development speed is outstanding. The...

• The 20 Best Laravel Alternatives for Web Development
  tms-outsource.com · Jan 2024

  FastAPI, as the name hints, is a swift mover. Built on Starlette, it’s all about speed and performance with Python. Crafting API masterpieces at the speed of light, now that’s something.

• 25 Python Frameworks to Master
  kinsta.com · Oct 2023

  Since its release in 2018, it has rapidly gained popularity due to its great performance and simplicity. In fact, according to PyPi Stats, FastAPI has over 9 million monthly downloads, surpassing even full-stack...

View more

• 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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• QueuePool Limit Reached - When FastAPI Runs Out of Database Connections

  If your FastAPI app talks to a database through SQLAlchemy, chances are high you will meet it sooner or later. Not on your machine, of course. It shows up in production, after a few quiet hours, under load. And the reflex is always the... - Source: dev.to / about 24 hours ago

• ContexteTech is now open source: a hub for everything that adapts an AI model

  API: FastAPI with async SQLAlchemy, PostgreSQL 17 for data, Redis for caching and rate limits. The cache is invalidated by a single version counter bumped on every write: no fine-grained purging to manage. - Source: dev.to / 10 days ago

• I Built My First Machine Learning API — Here's Everything I Learned

  I used FastAPI, a Python framework built specifically for creating APIs quickly, with automatic validation and interactive documentation baked in. - Source: dev.to / about 2 months ago

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• 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: about 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