allure-go VS allure-docker-service

Compare allure-go vs allure-docker-service and see what are their differences.

allure-go

Complete Allure provider in Go which doesn't overload the interface usage (by ozontech)

allure-docker-service

This docker container allows you to see up to date reports simply mounting your "allure-results" directory in the container (for a Single Project) or your "projects" directory (for Multiple Projects). Every time appears new results (generated for your tests), Allure Docker Service will detect those changes and it will generate a new report automatically (optional: send results / generate report through API), what you will see refreshing your browser. (by fescobar)
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allure-go allure-docker-service
1 1
282 596
2.1% -
6.3 4.1
9 days ago 10 days ago
Go Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

allure-go

Posts with mentions or reviews of allure-go. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-23.

allure-docker-service

Posts with mentions or reviews of allure-docker-service. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-15.

What are some alternatives?

When comparing allure-go and allure-docker-service you can also consider the following projects:

ginkgo - A Modern Testing Framework for Go

Allure Report - Allure Report is a flexible, lightweight multi-language test reporting tool. It provides clear graphical reports and allows everyone involved in the development process to extract the maximum of information from the everyday testing process

Testify - A toolkit with common assertions and mocks that plays nicely with the standard library

jtl-reporter - JtlReporter is an online application that allows users to generate beautiful, customizable and easy to understand performance reports from JMeter(Taurus), Locust, and other tools.

cupaloy - Simple Go snapshot testing

docker-autocompose - Generate a docker-compose yaml definition from a running container

acyl - Testing Environments On Demand

openvasreporting - OpenVAS Reporting: Convert OpenVAS XML report files to reports

Gor - GoReplay is an open-source tool for capturing and replaying live HTTP traffic into a test environment in order to continuously test your system with real data. It can be used to increase confidence in code deployments, configuration changes and infrastructure changes.

pointblank - Data quality assessment and metadata reporting for data frames and database tables

TecoGAN-Docker - This is a fork of the TecoGAN project (https://github.com/thunil/TecoGAN) that adds support for docker.

pytest-testinfra - Testinfra test your infrastructures