Top 10 Useful and Important Open source Tools of 2019

In Black Duck's 2017 Open Source survey, 77 percent of respondents used open source to build internal applications, 69 percent used open source components to create customer applications, and 69 percent said open source powered their infrastructure. Forty-eight percent of the companies surveyed said the number of people contributing to open source in their organizations is increasing.

GitHub now has more than 24 million users and more than 25 million public warehouses. In many areas, open source projects have become the dominant technology, and IT professionals who want to keep up with the latest technology need to be at least familiar with these tools. Based on current trends, here are 10 of the most important open source tools for 2019:

1. Docker

The twin trends of DevOps and cloud computing have greatly increased interest in container technology, with Docker being a leader in container technology, showing in the 2017 Cloud Report that 70% of enterprises have used or are planning to use Docker, and that Docker is the preferred tool for enterprises to deploy DevOps.

Docker allows developers to package their applications and dependencies into a portable container and then distribute them to any popular Linux machine, making it easy to move applications from one place to another for use in a hybrid cloud environment.

2. Kubernetes

Docker helps you use container technology, while Kubernetes helps you manage containers better. Kubernetes is open source from Google, which provides application deployment, maintenance, extension mechanism, etc. It provides container services for Amazon, Microsoft Azure and Google cloud platforms, etc. Even Swarm, which manages Docker cluster, also incorporates Kubernetes technology.

In GitHub's October 2017 report, Kubernetes was the second most reviewed open source project and the most popular repository.

3. Git

Git has become the most popular version control solution. In the 2017 Stack Overflow Developer Survey, 69.2% of developers said they use Git, making Git the top choice for developers. By contrast, Subversion, the second most popular version control system, was chosen by just 9.1 percent of respondents.

In the open source world, the rise of GitHub, based on Git, helped increase the impact of this version control system. As more and more companies embrace open source, they are opting for Git.

4. Java

Java is one of the most popular programming languages in the world and one of the most popular. In the Stack Overflow survey, Java was the most popular language, 62.5% of whom said they had used Java. Java is also the most popular programming language on GitHub. Java is currently 4th in the PYPL programming language popularity Index, and 6th in the latest TIOBE index.

Java was particularly popular in Web development and has now moved into backend and mobile development as well.

5. Node.js

One big reason for Java's popularity is the growing popularity of ES81en.js, a runtime environment that allows developers to write server-side code in Java, which means developers can use the same language for both the front and back ends of web applications.

In GitHub's October 2017 report, ES87en.js was the most popular library. In Stack Overflow's survey, 47.1 percent of developers said they were using ES91en.js, while ES93en.js was the second most popular framework, with 62.1 percent of developers saying they liked it. It is also one of the most popular technologies among developers.

6. React/React Native

React is the Java library created by Facebook for developing user interfaces, and related projects React Native allow developers to use React to create cross-platform native mobile applications.

Although React and React Native are fairly new technologies, they are already very popular. In the GitHub report, React was one of the most popular projects. In the Stack Overflow survey, although only 19.5% of developers said they were using React, 66.9% said they liked the library, making it the most popular framework in the category.

React has released a report on the fastest growing skills of 2018, and React tops the list. Searches for React by job seekers increased by 313 per cent, while searches for React skills by businesses increased by 229 per cent.

7. Angular

Angular is also on Indeed's list of fast-growing skills. Searches for Angular related jobs rose 50 per cent, and corporate resumes with Angular skills rose 6 per cent. It was the second most popular technology in the Stack Overflow survey. It is also one of the projects with the most contributors on GitHub.

Like ES136en.js and React/ES139en-ES140en1, Angular is also part of the Java ecosystem (although the latest version of Angular is actually compiled to Java based on Type). It aims to help developers build open source frameworks for cross-platform applications locally on mobile, Web, mobile Web, and native desktops.

8. Hadoop

Hadoop is a very popular open source tool in big data solutions for processing large amounts of data on distributed system clusters. In the Stack Overflow report, Hadoop appears in both the most popular and most desired technologies lists.

However, as companies look for other technologies that better meet their needs, some analysts are beginning to question whether Hadoop will remain central to the big data ecosystem. However, it remains one of the key open source projects used by businesses in 2018.

9. Spark

Spark is also an emerging big data technology of growing importance. Like Hadoop1, it is managed by the Apache Software Foundation, but is much faster than the Hadoop's standard MapReduce engine. Many organizations use both Spark and Hadoop for applications that need to process real-time streaming data.

According to the Indeed report, the number of job searches for Spark by job seekers increased by 39%, and the number of searches by employers for candidates with Spark skills increased by 14%. It was also the fourth most popular technology in the Stack Overflow survey.

10. TensorFlow

A report by Digital Ocean found that 83% of developers had not yet used artificial intelligence (AI) or machine learning (ML). However, these developers who have not used AI/ML have plans to start learning in the next year

Many of them will probably start with TensorFlow, the open source machine learning library created by the Google Brain team.

Several leading public cloud providers now offer services based on TensorFlow. In GitHub's report, TensorFlow was Fork's highest project of the year, as well as appearing on the list of projects with the most contributors and reviews.