Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.
Measure helps mobile teams monitor and fix crashes, ANRs, bugs, and performance issues. The open source alternative to Firebase Crashlytics.
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Which is more popular?
Based on our record, Rollbar
should be more popular than Stackless Python.
It has been mentioned 25 times since March 2021.
social mentions
25 vs 3
Error Tracking popularity
100% vs 0%
alternatives listed
211 vs 5
Base details
Website, pricing, platforms and company facts side by side.
Real-time Error Tracking Rollbar provides real-time error monitoring and alerts, allowing developers to quickly identify and address issues in production environments.
Comprehensive Error Reports It offers detailed error reports that include stack traces, browser data, device data, and more, which help in diagnosing and fixing errors faster.
Supports Multiple Languages and Frameworks Rollbar supports a wide range of programming languages and frameworks, making it a versatile tool for various tech stacks.
Integrations with Popular Tools Rollbar integrates with popular development and workflow tools like Slack, Jira, GitHub, and more, enhancing team collaboration and productivity.
Customizable Notifications Users can customize notifications based on error severity, frequency, and other parameters to reduce noise and focus on critical issues.
AI-assisted Triage The platform uses AI to group and prioritize errors, helping developers focus on the most impactful issues first.
User Context and Telemetry Gives insight into user actions leading up to an error, which can be crucial for reproducing and fixing issues.
Deployment Tracking Rollbar allows you to track when errors are introduced by specific deployments, making it easier to pinpoint the root cause.
Scalable Suitable for companies of all sizes, from startups to large enterprises, providing scalable solutions that grow with your business.
Possible disadvantages
Pricing Rollbar can be expensive for small teams or startups, especially as the volume of errors and the need for advanced features grow.
Learning Curve While feature-rich, Rollbar may have a steep learning curve for new users who are not familiar with error tracking tools.
Occasional False Positives Some users report occasional false positives, which can divert attention from actual issues.
Custom Plan Limitations The need for a custom plan to access certain advanced features can be a limitation for smaller teams who may not have the budget.
Performance Overhead Introducing Rollbar into your application can add some performance overhead, although typically minimal. It still needs to be managed.
Data Privacy Concerns Storing sensitive error data in a third-party service can raise privacy and compliance concerns, especially for industries with strict regulations.
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.
RollbarStackless Python
Overall verdict
Yes, Rollbar is generally considered a good tool for error monitoring and management. Its comprehensive features and real-time insights make it a valuable addition for development teams aiming to improve their application's reliability and performance.
Why this product is good
Rollbar is known for its robust error tracking and monitoring capabilities. It provides real-time feedback on application errors, helping developers identify, diagnose, and fix issues quickly. Rollbar supports a wide range of programming languages and integrates well with various development and collaboration tools. Its features include automated error grouping, detailed error reports, and the ability to track the entire lifecycle of errors from detection to resolution.
Recommended for
Development teams that require real-time error tracking
Organizations looking to improve application reliability
Projects of various sizes, from startups to large enterprises
Teams that use continuous integration/continuous deployment (CI/CD) practices
Developers who need seamless integration with programming languages and tools
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
Apart from detecting, diagnosing, and helping to fix errors in real-time, Rollbar also provides high-quality insights/analytics into the application’s error ecosystem. It offers a straightforward interface for...
Rollbar takes a different approach, focusing heavily on real-time error detection and intelligent grouping. Their free tier offers 5,000 occurrences per month, which is competitive with other major players, but what sets them apart is...
- Source: dev.to
/
8 months 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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