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Which is more popular?
Based on our record, FullStory
should be more popular than Stackless Python.
It has been mentioned 5 times since March 2021.
social mentions
5 vs 3
Web Analytics popularity
100% vs 0%
alternatives listed
240+ vs 5
Base details
Website, pricing, platforms and company facts side by side.
Detailed User Insights FullStory provides a comprehensive view of user interactions, including heatmaps, session recordings, and user journey maps, which help in understanding user behavior and identifying areas for improvement.
Easy Integration FullStory can be easily integrated with various platforms and tools like Google Analytics, Slack, and Intercom, enhancing its utility and allowing seamless data flow across systems.
Robust Search and Segmentation The platform allows advanced search and segmentation capabilities, making it easier to find and analyze specific user groups or behaviors, which is essential for targeted optimizations.
Data Privacy and Security FullStory adheres to stringent data privacy and security standards, including GDPR compliance, offering peace of mind to businesses concerned about user data protection.
Collaboration Features It offers collaboration tools that enable teams to share insights, annotate session recordings, and work together on user experience improvements, enhancing teamwork and productivity.
Possible disadvantages
Cost FullStory can be relatively expensive, especially for smaller businesses or startups with limited budgets, as the comprehensive feature set comes at a premium price.
Learning Curve Due to the depth of features and capabilities, new users may face a steep learning curve in understanding and utilizing the platform effectively.
Data Volume Limitations Depending on the subscription plan, there may be limitations on the amount of data and the number of sessions that can be recorded and stored, which might not be sufficient for high-traffic websites.
Browser Dependency FullStory heavily relies on JavaScript, which means that if users have JavaScript disabled, the tool may not function properly, leading to gaps in data collection.
Potential Performance Impact The tracking scripts used by FullStory can sometimes impact website performance and load times, which may affect the user experience if not optimized.
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.
FullStoryStackless Python
No analysis of FullStory yet.
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
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Hotjar’s differentiators, when compared to FullStory, are their feedback and survey features. However, FullStory has much broader quantitative analytics capabilities (including funnel analysis) and can be used to...
Yeah I tried a few, also the defaults in NextDNS and AdGuard Home. They all cause issues, mostly related to what's considered tracking/analytics domains, e.g. segment.io, app-measurement.com, fullstory.com, crashlytics, etc.
Source:
about 4 years ago
Domain not blocked and why it's on the list
Hello,
I was using an Android which tried to connect the domain fullstory.com. It has been blocked since this domain is listed in my hosts file thanks to Peter Lowe’s Ad and tracking server list.
Source:
about 4 years ago
Have not heard about Highlight but FullStory is really great tool. But, the pricing is too high to use it. You can also have a look at Browsee.
Source:
about 4 years 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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