We are thrilled to be part of developing powerful tools like N|Solid. We are immensely proud of our engineers who have dedicated their time and expertise to support the open-source ecosystem. This is our way of giving voice and visibility to the projects they are passionate about. We want to recognize Italo José's work with Herb.js on this occasion.

For today’s continuous development streams, automated testing is the optimal solution. You can choose from various automation testing tools and frameworks to create and run successful test cases. Although finding the ideal test automation solution is challenging. In this blog, we’ll examine how to select the right framework for your company and go in-depth on the best automation testing tools available on the market. Table Of Contents

NodeSource has been a part of the Node.js ecosystem since 2014, contributing to the open-source project, distributing binaries (over 100m annually!), providing expert Node Services, and building tooling (N|Solid) to support developers to make the best software leveraging Node.js. Every year, we look at the open-source projects we believe are the most interesting and will impact the ecosystem.

Kong’s open-source API Gateway is a highly successful project with over 33k stars on GitHub and 293 contributors. Kong provides a powerful platform that can be extended using hundreds of plugins provided by Kong, ecosystem partners, and the community. Kong’s Enterprise subscription provides an extended set of capabilities over and above the core foundation of Kong OSS. We will explore how to migrate an installed system from OSS to Enterprise here today.

Quality confidence in the functionality of an application alone is no longer sufficient to deliver a top-notch digital experience. Customers today constantly want more, and they want it fast. Test automation is adopted to keep up with users' tendency to be less tolerant of defects and expect quick updates and fixes at the same time. Currently, in the automated testing tool market, open source frameworks and solutions are commonly opted for due to their flexibility and free cost of entry.

ClearML is an open source MLOps platform, and we love the community that’s been growing around us over the last few years. In this post, we’ll give you an overview of the structure of the ClearML codebase so you know what to do when you want to contribute to our community. Prefer to watch the video? Click below: First things first. Let’s take a look at our GitHub page and corresponding repositories. Later on, we’ll cover the most important ones in detail.

Data integration can be a daunting task, and data engineers usually prefer open-source ETL solutions because of their transparency (you can always inspect the code), flexibility (tinker with the tool), and price performance (no vendor licenses, no maintenance fees). But there are many “gotchas!” with open-source tools you need to consider before picking the best tool for the job.

As we mentioned in the previous article, at NodeSource, we are dedicated to observability in our day-to-day, and we know that a great way to extend our reach and interoperability is to include the Opentelemetry framework as a standard in our development flows; because in the end our vision is to achieve high-performance software, and it is what we want to accompany the journey of developers in their Node.js base applications.