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Shipyard.Build VS assertpy

Compare Shipyard.Build VS assertpy and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Shipyard.Build logo Shipyard.Build

Ephemeral environments for developers and their agents

assertpy logo assertpy

A straightforward assertion library for Python.
  • Shipyard.Build Landing page
    Landing page //
    2022-01-20

Shipyard automates the lifecycle of ephemeral environments. It gives you a unique shareable environment for every branch and PR, making developer, agent, and QA workflows faster.

Our plug-and-play solution allows teams to collaborate seamlessly, shortening their feedback loops. Shipyard integrates directly with your existing workflow via one-click GitOps.

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

Shipyard.Build

$ Details
freemium $500 / Monthly
Platforms
Web AWS Cloud Azure
Release Date
2021 October
Startup details
Country
United States
State
NY
City
New York
Employees
10 - 19

assertpy

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Categories

Shipyard.Build features and specs

  • Automated workflow
  • Cloud-based
  • Dashboards
  • Easy to Set-up and use
  • Easy to use
  • Free Trial
  • Help Documentation
  • Integrations
  • GitHub integration
  • Team Collaboration
  • Version Control
  • Project Management
  • Collaboration Tools
  • Security
  • Documentation
  • Git Deployment
  • Kubernetes Integration
  • Slack integration
  • Azure DevOps integration
  • Subscriptions
  • Task management
  • Google Authentication
  • CircleCI integration

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

Category Popularity

0-100% (relative to Shipyard.Build and assertpy)
Infrastructure As A Service (IaaS)
Testing
0 0%
100% 100
DevOps Tools
100 100%
0% 0
Python
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Shipyard.Build seems to be more popular. It has been mentiond 10 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.

Shipyard.Build mentions (10)

  • Test Your Vibe Coding with Ephemeral Environments
    In this example, weโ€™ll be using Shipyard as our ephemeral environment management platform. If youโ€™re new to Shipyard, you can sign in with GitHub or GitLab to kick off a 30-day free trial. - Source: dev.to / over 1 year ago
  • Automating Git Bisect with Ephemeral Environments
    > Because ephemeral environments are reproducible on demand (via Docker images, Kubernetes pods, or a cloud VM), you can guarantee that each bisect step sees the same conditions. This drastically reduces "works on my machine" fiascos. Agree on this pattern for all code changes. Hard to understate the amount of time we've saved by testing against the full prod-like environment right away. An ephemeral env... - Source: Hacker News / over 1 year ago
  • How to Measure DORA Deployment Frequency
    Staging bottlenecks are one of the biggest inconveniences to smooth deployments. When there are only a few staging environments, it becomes harder to test and review features in a timely manner. Thatโ€™s where ephemeral environments come in โ€” they boost your deployment frequency since they give you the infrastructure you need to E2E test every single feature on the spot. Thatโ€™s why teams that use Shipyard see 3.2x... - Source: dev.to / over 1 year ago
  • Docker Bake: Storing your Docker build config
    Once youโ€™re ready to test your Dockerized application, youโ€™ll want to deploy it to a production-like preview environment. Thatโ€™s where Shipyard comes in. We take your Compose definition and transpile it to Kubernetes so you can get the orchestration you need to approximate your appโ€™s real world performance. And itโ€™s quick: we also use Docker BuildKit for lightning-fast, parallel Docker image builds. Give it a try! - Source: dev.to / almost 2 years ago
  • The Docker Ecosystem Explained
    Docker has spent the last decade giving developers the tooling they need for nearly every aspect of containerized development. But what happens after your features leave your local development environment? Shipyard takes your Dockerized app, and transpiles your Docker Compose file to Kubernetes manifests for full-stack ephemeral environments on every PR. This way, youโ€™ll get the production-like performance you... - Source: dev.to / about 2 years ago
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assertpy mentions (0)

We have not tracked any mentions of assertpy yet. Tracking of assertpy recommendations started around Mar 2021.

What are some alternatives?

When comparing Shipyard.Build and assertpy, you can also consider the following products

Docker Compose - Define and run multi-container applications with Docker

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

Okteto - Development platform for Kubernetes applications.

env0 - The Best Way to Manage Your Terraform and Infrastructure as Code Manage, deploy, scale, and control all your Terraform, Terragrunt, Pulumi, and related frameworks

Lovable - The world's first AI Fullstack Engineer

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.