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Which is more popular?
Based on our record, Hetzner
seems to be a lot more popular than Stackless Python.
While we know about 37 links to Hetzner,
we've tracked only 3 mentions of Stackless Python.
social mentions
37 vs 3
VPS popularity
100% vs 0%
alternatives listed
240+ vs 5
Base details
Website, pricing, platforms and company facts side by side.
Cost-Effective Hetzner offers competitive pricing, making it a cost-effective option for businesses of all sizes.
High Performance Hetzner provides high-performance servers and network infrastructure, ensuring reliable and fast service.
Scalability Hetzner's cloud platform allows for easy scaling of resources to match changing demand and workloads.
Data Center Locations Hetzner has multiple data center locations in Europe, which is beneficial for users needing geographical redundancy and low latency.
Security Hetzner offers strong security features, including DDoS protection and secure data centers, to protect user data.
Customizability Users can customize their server configurations to meet specific needs, providing flexibility in resource allocation.
Possible disadvantages
Limited Global Reach Hetzner's data centers are primarily located in Europe, which may not be ideal for businesses with a global audience.
Support Options While Hetzner offers support, some users may find the level of customer support and response times to be lacking compared to other providers.
Complex Interface The Hetzner Cloud interface might be complex for some users, especially those who are less experienced with cloud services.
No Managed Services Hetzner primarily offers unmanaged servers, which means users need to handle server management and maintenance themselves.
Additional Costs for Features Some advanced features and services may incur additional costs, potentially making it less affordable depending on the required features.
No Free Tier Hetzner does not offer a free tier for its services, so users cannot test their platform without incurring costs.
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.
Analysis
An editorial look at what each product does well and who it suits.
HetznerStackless Python
Overall verdict
Overall, Hetzner is considered a good choice for those looking for scalable and affordable cloud solutions. Despite its lack of data centers outside of Europe, it offers a compelling combination of reliability, performance, and price.
Why this product is good
Hetzner is widely regarded as a reliable and cost-effective provider of cloud and dedicated server services. It's known for its affordable pricing, high-performance infrastructure, and robust security features. The services are well-suited for businesses and developers seeking scalable solutions. Furthermore, Hetzner's customer support is often praised for its responsiveness and technical expertise.
Recommended for
Small to medium-sized businesses that need affordable cloud hosting solutions.
Developers and startups looking for scalable and flexible server infrastructure.
Tech-savvy users who can navigate configuration and deployment without extensive hand-holding.
Overall verdict
Stackless Python is a solid, mature alternative Python implementation that excels at massive concurrency through lightweight microthreads (tasklets), making it a good choice for specific concurrent and cooperative multitasking workloads, though its niche status means smaller community support compared to CPython.
Why this product is good
Provides tasklets (microthreads) that allow hundreds of thousands of concurrent tasks with very low memory overhead
Offers channels for clean, safe communication and synchronization between tasklets without traditional locking headaches
Supports cooperative and preemptive scheduling, giving developers fine-grained control over concurrency
Enables serialization (pickling) of running tasklets, which is powerful for saving and migrating program state
Proven in production at scale, most famously powering the MMO game EVE Online
Largely maintains compatibility with standard CPython code and libraries
Recommended for
Developers building highly concurrent applications requiring massive numbers of lightweight threads
Game servers and simulations needing efficient cooperative multitasking (like EVE Online's use case)
Projects that benefit from tasklet serialization for state migration or persistence
Systems programmers exploring alternatives to threads or async frameworks for concurrency
Users comfortable working with a specialized Python distribution outside the mainstream CPython ecosystem
Hetzner’s dashboard and interface are speedy and user-friendly, which makes them a perfect fit for professionals. They let you deploy servers in 3 different server locations including the US, Germany, and Finland....
Big thanks to the AWS docs team, the Kamal maintainers, and Hetzner for keeping hosting affordable. Hope this saves you the same headaches I ran into. Now back to building.
- Source: dev.to
/
6 months ago
Sure, if you still want it: https://hetzner.cloud/?ref=WwByfoEfJJdv I guess it gives you 20 euros in credit, too. That's nice.
- Source: Hacker News
/
over 1 year ago
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
/
about 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
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