Manhattan SCM VS Stackless Python

• Comprehensive Features
  Manhattan SCM offers a wide range of features that cover various aspects of supply chain management, including inventory management, order management, and transportation management, providing a holistic solution.
• Scalability
  The platform is scalable, making it suitable for both growing and large enterprises, which need a flexible solution that can adapt to increased demand and complex logistics.
• Cloud-Native
  As a cloud-native solution, Manhattan SCM allows for seamless updates and patches, along with easier integration and reduced infrastructure costs.
• Data-Driven Insights
  The system provides robust analytics and reporting tools that help businesses make informed decisions based on real-time data insights.
• Strong Industry Reputation
  Manhattan has a long-standing reputation in the industry, known for reliable and innovative supply chain solutions.

Possible disadvantages

• Cost
  The advanced features and comprehensive solutions offered by Manhattan SCM can come with a high price tag, which might be a barrier for small to mid-sized businesses.
• Complexity
  Due to its comprehensive nature, the platform can be complex and may require significant time and resources for implementation and training.
• Customization Limitations
  While robust, some users may find limitations in the ability to customize certain features to fit their specific use cases without additional development.
• Integration Challenges
  Integrating Manhattan SCM with existing systems and third-party applications can sometimes be challenging and require additional technical support.
• Learning Curve
  New users may experience a steep learning curve due to the wide array of features and the complexity of the platform.

• Efficient Concurrency
  Stackless Python provides microthreads, also known as tasklets, which offer efficient concurrency by allowing multiple tasks to run in a single thread without the overhead of traditional threading.
• Simplified Code
  The microthreading model can lead to simplified code when compared to multithreading, as it avoids the complexities associated with locks and synchronization primitives.
• Improved Performance
  Due to the avoidance of context switching between OS-level threads, Stackless Python can achieve improved performance for I/O-bound applications.
• Flexibility
  Stackless Python allows developers to pause and resume functions at almost any point, providing great flexibility for creating advanced flow control mechanisms.
• Low Memory Footprint
  Tasklets in Stackless Python are lightweight, leading to a lower memory footprint compared to traditional threading models.

Possible disadvantages

• Compatibility
  Stackless Python may face compatibility issues with certain Python libraries and extensions that are not designed to work with its microthreading model.
• Limited Community and Support
  Stackless Python has a smaller user base compared to standard Python, which can result in limited community support and fewer resources for learning and troubleshooting.
• Platform Limitations
  Some platforms may not fully support or benefit from Stackless Python's features due to differences in underlying system architectures.
• Debugging Challenges
  Debugging can be more challenging in Stackless Python due to its non-standard execution model, requiring developers to understand its unique flow control mechanisms.
• Maintenance and Updates
  Since Stackless Python diverges from the standard Python implementation, it may lag in adopting new features and updates present in the latest Python releases.

No analysis of Manhattan SCM yet.

No Manhattan SCM videos yet. You could help us improve this page by suggesting one.

Stackless Python on PSP demo

Tracking Manhattan SCM since Apr 2022.

• We Burned Down Players’ Houses in Ultima Online

  Client uses a ton of Python too, mind you they have a very special interpreter. https://github.com/stackless-dev/stackless/wiki/. - Source: Hacker News / almost 4 years ago

• How does Go "know" when a goroutine hits IO and can switch to another goroutine? Why don't other languages like Javascript/Python do this?

  For the sake of “well, actually” completionism, this is possible in Python with stackless or the gevent library and some hacks, but when Guido and pals backed the standard awful way of doing async in commercial languages (async/await and... Source: about 4 years ago

• How to Choose the Right Python Concurrency API

  Is stackless still an alternative? (It used to be quite hot 1.5 decade ago) https://github.com/stackless-dev/stackless/wiki/. - Source: Hacker News / about 4 years ago