New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Bluebox gives coding agents the production context they are missing. It briefs your agent with live runtime behavior before a change, investigates incidents, explains likely root cause, and returns a GitHub issue you review. Free to start.
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Which is more popular?
Based on our record, NewRelic
seems to be a lot more popular than Stackless Python.
While we know about 109 links to NewRelic,
we've tracked only 3 mentions of Stackless Python.
social mentions
109 vs 3
Monitoring Tools popularity
100% vs 0%
alternatives listed
240+ vs 5
Base details
Website, pricing, platforms and company facts side by side.
Comprehensive Monitoring New Relic provides a wide range of monitoring capabilities including application performance, infrastructure, and real user monitoring, offering a holistic view of your system's health.
Real-Time Data New Relic offers real-time analytics and insights, enabling quick identification and resolution of issues as they occur.
Advanced Alerting New Relic's advanced alerting system allows you to set customizable thresholds and get notified through various channels, helping to proactively manage potential issues.
User-Friendly Interface The platform features an intuitive, user-friendly interface that makes it easy to navigate and visualize data, even for less experienced users.
Integration Capabilities New Relic integrates seamlessly with many other tools and platforms, making it easy to incorporate into existing workflows.
Scalability Whether you have a small startup or a large enterprise, New Relic scales easily with your growing needs.
Comprehensive Documentation and Support New Relic offers extensive documentation and a variety of support options including forums, customer support, and a vibrant community.
Possible disadvantages
Cost New Relic can be expensive, especially for smaller businesses or startups that may not have a large budget for monitoring tools.
Complexity While New Relic offers a lot of features, it can also be complex to set up and configure, requiring significant time and expertise.
Performance Impact In some cases, the agents and monitoring tools can add overhead to the monitored systems, potentially affecting performance.
Data Storage Limits Lower-tier plans come with limits on data retention and storage, which may not be sufficient for some businesses with high data requirements.
Steep Learning Curve The breadth of features and capabilities can result in a steep learning curve for new users, making it challenging to fully leverage the platform's potential quickly.
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.
NewRelicStackless Python
Overall verdict
Overall, NewRelic is regarded as a reliable and feature-rich APM solution. Its intuitive user interface, robust monitoring capabilities, and scalability generally receive positive feedback from users. However, it is essential to consider pricing and specific needs, as some users find it expensive compared to other solutions.
Why this product is good
NewRelic is considered a good choice for application performance monitoring (APM) because it offers comprehensive monitoring capabilities, real-time insights, and detailed analytics. It supports a wide range of programming languages and platforms, and features like distributed tracing, error analytics, and infrastructure monitoring make it a versatile tool for ensuring application reliability and performance.
Recommended for
Development teams needing real-time application performance insights
Organizations looking to monitor complex distributed applications
Businesses that require comprehensive monitoring across different technology stacks
Teams focusing on optimizing application availability and performance
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
The top portion of the page is similar between New Relic and Scout: a breakdown of time spent by category (ex: Ruby, Database, External HTTP services, etc) over time. You can view data across similar timeframes in...
Pingdom Server Monitor, which was formerly Scout Server Monitoring App which was acquired by Pingdom, has superior performance to New Relic, in particular when comparing response times, as seen in comparisons below....
The NewRelic is a one of the best application performance management and monitoring software that gives you a deep analysis to the app stack. New Relic offers a real-time status checking of the app’s availability. It...
New Relic rebuilt its pricing around data rather than hosts: you pay for gigabytes of telemetry ingested and for the number of full-platform users, not per monitored host. That change made it one of the more approachable all-in-one...
- Source: dev.to
/
4 months ago
New Relic has the broadest type matrix — seven first-class monitor types including a genuine no-code Step monitor, broken-links, and cert checks — plus serious compliance (SOC 2, ISO 27001, HIPAA BAA, FedRAMP Moderate). For regulated...
- Source: dev.to
/
5 months ago
New Relic - CPU usage (%) and Load Average
At AWS re:Invent 2025, I had the opportunity to give a brief demonstration at the New Relic booth that opened the stage to some AWS Heroes. In Linux environments, administrators often rely on CPU usage and load average metrics to...
- Source: dev.to
/
12 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
Alternatives to NewRelic and Stackless Python
When comparing NewRelic and Stackless Python, you can also consider the following products.
Best Selenium Online Training Institute: NareshIT is the best Selenium Online Training ... Selenium Training online classes by realtime expert with course material.
Compare Naresh i Training to NewRelic or Stackless Python:
From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
Compare Sentry.io to NewRelic or Stackless Python:
Datadog
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Full Stack Python
Invent With Python
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