Automation testing tools are applications designed to verify function and/or non-functional requirements via automated test scripts. With the Agile and DevOps manifesto as the standard of software testing, setting a clear-cut automation testing tools evaluation strategy is key. Ultimately, this strategy will need to answer the questions of: Plus, there isn’t really a one-size-fits-all automation tool. It really boils down to your team’s specific needs.

Free open-source frameworks, libraries, and tools are the go-to solutions for automation testing. The main difference between these is knowing your preference between creating your building a brand new test automation framework using libraries, or working on a made-ready tool where testing is all you will have to care about. This article gives you a quick glance at the Top 10 Free and Open Source Testing Tools, Tools, Framework & Libraries.

We are excited to inform all of our users that we will be bringing OpenSearch and OpenDashboards onto the Logit.io platform in the coming months. You may have already been aware that we’ve previously announced our support for the previous iteration of OpenSearch & OpenDashboards known as Open Distro in our response here. Due to our early public support of these oncoming changes you can see our platform cited on the official AWS OpenSearch website.

At its core, Bitrise has open-source components. In fact, many of the Steps that make up Bitrise Workflows are open-source developments. But did you know that Bitrise has an open API and users are actively creating extra apps and other components that make use of the API?

Written in Python, Apache Airflow is an open-source workflow manager used to develop, schedule, and monitor workflows. Created by Airbnb, Apache Airflow is now being widely adopted by many large companies, including Google and Slack. Being a workflow management framework, Apache Airflow differs from other frameworks in that it does not require exact parent-child relationships. Instead, you only need to define parents between data flows, automatically organizing them into a DAG (directed acyclic graph).