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Payara Server VS assertpy

Compare Payara Server VS assertpy and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Payara Server logo Payara Server

Payara Server is a fully supported, developer-friendly, open source application server. Innovative, cloud-native, optimized for production deployments. Jakarta EE & MicroProfile compatible.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Payara Server Landing page
    Landing page //
    2023-11-22

Payara Server is an open source, cloud-native middleware platform supporting reliable and secure deployments of Java EE (Jakarta EE) applications on premise, in the cloud or hybrid environments. Originally derived from GlassFish and used as a drop in replacement.

Monthly releases, bug fixes and a 10-year support lifecycle optimizes Payara Server for production deployments. Payara Server is aggressively compatible with common ecosystem components and ensures future compliance with Jakarta EE.

Payara Server is built and supported by a team of DevOps engineers dedicated to continued development and maintenance of the open source software, and committed to collaboration with the community to ensure Payara Server is the best option for production Java EE applications.

  • assertpy Landing page
    Landing page //
    2022-11-06

Payara Server features and specs

  • Open Source
    Payara Server is open source, which means it's free to use and has a community of developers contributing to its development and improvements.
  • Jakarta EE Support
    It supports Jakarta EE, offering developers access to a wide range of enterprise features and a robust platform for building scalable applications.
  • Payara Micro
    Payara Server offers Payara Micro, a lightweight version designed specifically for microservices architectures, making it agile and easily deployable in cloud environments.
  • Commercial Support
    For organizations requiring professional support, Payara Services Ltd offers a range of commercial support options, including 24/7 support and monitoring.
  • Cloud-Ready
    Payara Server is designed to be ready for cloud deployment, offering robust support for Docker, Kubernetes, and other cloud-native tools.

Possible disadvantages of Payara Server

  • Learning Curve
    For new users, there might be a steep learning curve in understanding Jakarta EE specifications and how Payara Server implements these functionalities.
  • Performance Overhead
    It can have higher overhead compared to more lightweight, specialized solutions, especially in cases where full Jakarta EE stack is not required.
  • Limited Niche Community
    While it is actively developed and supported, the community is smaller compared to other enterprise servers like WildFly or Apache Tomcat, potentially leading to fewer resources and community-driven extensions.
  • Version Compatibility
    Some users may face challenges with compatibility when migrating from other application servers, requiring code adjustments to comply with Payara Server's configurations.
  • High Support Costs
    While there's a free open-source version, the costs for commercial support can be high, which might be a consideration for smaller businesses.

assertpy features and specs

  • Fluent API
    Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
  • Chainable Assertions
    It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
  • Comprehensive Assertion Methods
    The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
  • Extensibility
    Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
  • Pythonic
    Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

  • Learning Curve
    Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
  • Limited by Python Version
    The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
  • Performance Overhead
    The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
  • Less Community Support
    Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
  • Dependency Management
    Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

Payara Server videos

+ Add

Payara Server Deployment Group on Docker

More videos:

  • Tutorial - How to Deploy an Application to Payara Server

assertpy videos

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Category Popularity

0-100% (relative to Payara Server and assertpy)

Payara Server

assertpy

Web And Application Servers
100 100%
Web And Application Servers
0% 0
Testing
0 0%
Testing
100% 100
Application Server
100 100%
Application Server
0% 0
Python
0 0%
Python
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 Payara Server and assertpy

Payara Server Reviews

4 Open Source Application Servers (Comparison and Review)
The Payara Server was derived from GlassFish. It offers 24/7 production and developer support. This server is optimized for production and is secure by default. Payara has implemented its own enhancements and fixes, and has no association with Oracle. Plans are in place to address advanced database capabilities, enhanced diagnostics and more.
Source: shadow-soft.com

assertpy Reviews

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What are some alternatives?

When comparing Payara Server and assertpy, you can also consider the following products

Apache Tomcat - An open source software implementation of the Java Servlet and JavaServer Pages technologies

grappa - grappa is an declarative, verbose, and expressive assertion library for Python.

JBoss - JBoss is Red Hats Java EE 5-compliant (soon Java EE 6-compliant) application server.

Red Hat JBoss EAP - Use Red Hat JBoss Enterprise Application Platform to build, deploy, and host Java applications and servicesโ€”quickly and flexibly.

Eclipse Jetty - Jetty is a highly scalable modular servlet engine and http server that natively supports many modern protocols like SPDY and WebSockets.

Glassfish - GlassFish v3, built by the GlassFish community, is the first compatible implementation of the Java...

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