Software Alternatives & Reviews

statsmodels VS AWS X-Ray

Compare statsmodels VS AWS X-Ray and see what are their differences

statsmodels logo statsmodels

Statsmodels: statistical modeling and econometrics in Python - statsmodels/statsmodels

AWS X-Ray logo AWS X-Ray

AWS X-Ray helps developers analyze and debug production and distributed applications.
  • statsmodels Landing page
    Landing page //
    2023-08-18
  • AWS X-Ray Landing page
    Landing page //
    2023-04-20

statsmodels videos

Linear Regressions with StatsModels

More videos:

  • Review - Code review - Z Test using statsmodels
  • Review - Code Review: Analyse Training VAR statsmodels with a real world dataset

AWS X-Ray videos

Optimize Application Performance with AWS X-Ray

More videos:

  • Demo - AWS X-Ray: Analyze, Debug & Optimize Application Performance | Concept | Demo
  • Review - AWS re:Invent 2017: Monitoring Modern Applications: Introduction to AWS X-Ray (DEV204)

Category Popularity

0-100% (relative to statsmodels and AWS X-Ray)
Development Tools
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Data Science And Machine Learning
Application Performance Monitoring

User comments

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Social recommendations and mentions

Based on our record, AWS X-Ray should be more popular than statsmodels. It has been mentiond 21 times since March 2021. 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.

statsmodels mentions (4)

  • [P] statsmodels.tsa.holtwinters.ExponentialSmoothing results in NaN forecasts and parameters when fitting on entire dataset using known parameters from training model.
    I reckon you're more likely to get a good response on their Github page than here. Unless a dev happens to see this post. Source: over 1 year ago
  • How do you usually build your models?
    Since you are using python, pandas, scikit-learn, scipy, and statsmodels are what you are looking for. Source: over 1 year ago
  • Can we solve serverless cold starts?
    In case you're really worried about cold start latency and your application load shows high variance in the number of concurrent requests, you might want to get a bit fancier. You could use time-series forecasting to anticipate how many containers should be warmed at each point in time. StatsModels is an open-source project that offers the most common algorithms for working with time-series. Here's a good... - Source: dev.to / almost 3 years ago
  • Advice required to choose appropriate software for an assignment
    Can't you get a student discount for Stata? R would definitely be able to handle everything. For Python, have a look through the statsmodel package https://github.com/statsmodels/statsmodels. Source: about 3 years ago

AWS X-Ray mentions (21)

  • Refactoring a serverless application to use Step Functions third-party API call integration
    I also send some annotations and subsegments to X-Ray that makes it easy to identify bottlenecks and Lambda cold starts. - Source: dev.to / 5 months ago
  • Building a Serverless AI Content Detector
    In my eventual use case, this is minor since it'll be run asynchronously, and can take as long as it generally pleases. But that's not as great for our synchronous demo API. So it's time to enable AWS X-Ray to run the distributed tracing over the whole thing. - Source: dev.to / 11 months ago
  • How do i keep track for each of the step on the entire process
    I've not used AWS' offering but I believe that this is what you can use https://aws.amazon.com/xray/. Source: about 1 year ago
  • Top 9 Commercial Distributed Tracing Tools
    AWS X-Ray is the first tracing-specific platform on this list. X-Ray focuses on troubleshooting and debugging use cases enabled by distributed tracing, such as identifying latency bottlenecks or diagnosing the root cause of unusual behavior, particularly in microservices/serverless architectures. - Source: dev.to / about 1 year ago
  • Trace-based testing cloud-native apps with AWS X-Ray and Tracetest
    AWS X-Ray is a distributed tracing system included in the AWS cloud platform, that enables developers to monitor, analyze, and debug distributed applications running on AWS infrastructure. It provides information on how an application is performing and allows developers to identify and resolve performance issues quickly. X-Ray traces requests as they travel through an application, providing a comprehensive view of... - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing statsmodels and AWS X-Ray, you can also consider the following products

python docx - Create and modify Word documents with Python. Contribute to python-openxml/python-docx development by creating an account on GitHub.

Lumigo - With one-click distributed tracing, Lumigo lets developers effortlessly find and fix issues in serverless and microservices environments.

Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.

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.

python pillow - The friendly PIL fork (Python Imaging Library). Contribute to python-pillow/Pillow development by creating an account on GitHub.

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.