Software Alternatives, Accelerators & Startups

NewRelic VS socketify.py

Compare NewRelic VS socketify.py and see what are their differences

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NewRelic logo NewRelic

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.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • NewRelic Landing page
    Landing page //
    2023-10-05
  • socketify.py Landing page
    Landing page //
    2023-09-24

NewRelic features and specs

  • 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 of NewRelic

  • 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.

socketify.py features and specs

  • High Performance
    Socketify.py is designed for high scalability and performance, leveraging an efficient event loop and native extensions to handle a large number of concurrent connections efficiently.
  • WebSocket Support
    The library provides built-in support for WebSockets, making it suitable for real-time applications where persistent connections between client and server are necessary.
  • Asynchronous I/O
    Socketify.py is built on top of asynchronous I/O paradigms, allowing non-blocking operations that can improve the throughput of networked applications.
  • Ease of Use
    The library offers a clean and straightforward API with examples and documentation, which lowers the barrier to entry for developers who are new to network programming in Python.
  • Python Integration
    Being a Python library, socketify.py integrates well with existing Python applications and can be included as part of larger, multi-component systems.

Possible disadvantages of socketify.py

  • Limited Adoption
    As a relatively new or niche library, socketify.py might have a smaller user base and community compared to more established frameworks like Flask or Django, which could result in fewer community resources and third-party integrations.
  • Learning Curve
    For developers who are accustomed to synchronous programming paradigms, adapting to the asynchronous programming model of socketify.py may require an initial learning investment.
  • Documentation Depth
    While there is documentation, it might not be as extensive or comprehensive as those of more mature libraries, potentially requiring more experimentation or source code reading to fully grasp advanced features.
  • Potential Stability Issues
    Being less established, there might be undiscovered bugs or stability issues in production environments compared to long-standing Python networking libraries.
  • Ecosystem Limitations
    The library might lack some of the extensive third-party plugins or tools available in more popular frameworks, which could limit its extensibility.

Analysis of NewRelic

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

Analysis of socketify.py

Overall verdict

  • Socketify.py is a solid choice for developers seeking a high-performance web framework in Python, particularly for I/O-bound applications requiring speed comparable to frameworks in compiled languages, thanks to its use of uWebSockets under the hood.

Why this product is good

  • Built on uWebSockets, providing significant performance improvements over traditional Python web frameworks
  • Supports WebSockets natively, making it suitable for real-time applications
  • Lightweight and minimalistic design reduces overhead
  • Compatible with ASGI, allowing integration with existing Python async ecosystem
  • Active development and growing community support on GitHub
  • Good for building high-throughput APIs and services

Recommended for

  • Developers building real-time applications like chat apps or live notifications
  • Projects requiring high concurrency and low latency in Python
  • Teams looking to replace slower WSGI-based frameworks with something faster
  • Applications needing WebSocket support without heavy framework overhead
  • Microservices architectures where performance is critical
  • Python developers wanting an alternative to Node.js for performance-sensitive tasks

Category Popularity

0-100% (relative to NewRelic and socketify.py)
Monitoring Tools
100 100%
0% 0
Python
0 0%
100% 100
Application Performance Monitoring
Web Development
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NewRelic and socketify.py

NewRelic Reviews

New Relic vs. Scout: Which Is The Right APM For You?
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 both Scout and New Relic (New Relic offers three months of data in their Pro package and Scout can do the same in their custom plans).
Source: scoutapm.com
Best New Relic Alternatives for Application Performance Monitoring (Cloud & SaaS)
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. Ping Server Monitor comes ahead of New Relic in almost every single Response Time test and benchmark, beating it by almost 20x in terms of overhead.
10 Best Application Monitoring Tools for all Platforms
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 appโ€™s availability. It also gives email alerts and real-time notification.
Source: www.technig.com
Best DataDog Alternatives, Replacements & Competitors for Application & Log Monitoring
New Relic is an application/infrastructure performance management software designed for DevOps. The basic platform gives you real-time insights on the full stack of your cloud apps and infrastructure. New Relic can keep track of your apps whether is on-premises, on the cloud, or in hybrid environments.
Source: www.pcwdld.com
Top 15 Website Monitoring Tools
New Relic is very well known in the performance and developer community for providing a lot of different features and has been around since 2008. New Relic gives you deep performance analytics for every part of your software environment. You can easily view and analyze massive amounts of data, and gain actionable insights in real time. They do provide uptime alerts and...
Source: www.keycdn.com

socketify.py Reviews

We have no reviews of socketify.py yet.
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Social recommendations and mentions

Based on our record, NewRelic seems to be a lot more popular than socketify.py. While we know about 109 links to NewRelic, we've tracked only 2 mentions of socketify.py. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NewRelic mentions (109)

  • Best Cloud Monitoring Tools in 2026: A Developer's Honest Comparison
    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 platforms for cloud monitoring. Infrastructure, APM, logs, synthetics, and browser monitoring under one meter, across all major clouds. - Source: dev.to / about 1 month ago
  • Best Synthetic Monitoring Tools in 2026: Honest Comparison
    New Relic has the broadest type matrix โ€” seven first-class monitor types including a genuine no-code Step monitor, broken-links, and cert checks โ€” plus serious compliance (SOC 2, ISO 27001, HIPAA BAA, FedRAMP Moderate). For regulated teams that need a no-code authoring path, it is a real contender. - Source: dev.to / about 2 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 determine whether an instance is appropriately sized. An oversized instance that sits idle wastes resources and drives up the cloud bill, whereas an undersized instance pushed to its... - Source: dev.to / 9 months ago
  • Top 5 Trending APM Tools to Explore
    Ideal for: Teams that want comprehensive monitoring without drowning in complexity or cost. Official link:New Relic. - Source: dev.to / 9 months ago
  • Best AI Coding Tools of 2025: What Tools Should You Use?
    Tembo integrates with observability tools like Sentry, Datadog, and New Relic to detect performance regressions, query slowdowns, and recurring exceptions. When it finds issues, it analyzes recent commits, traces the root cause, and opens pull requests with fixes or optimizations โ€” often before anyone notices the problem. - Source: dev.to / 10 months ago
View more

socketify.py mentions (2)

  • Show HN: Python framework is faster than Golang Fiber
    These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
  • This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
    After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago

What are some alternatives?

When comparing NewRelic and socketify.py, you can also consider the following products

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Zabbix - Track, record, alert and visualize performance and availability of IT resources

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

Sentry.io - 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.

ManageEngine RecoveryManager Plus - RecoveryManager Plus is one such enterprise backup solution which has the ability to easily backup and restores both the domain controllers and virtual machines.

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases