As we approach the end of 2021 open source software continues to improve and offer more opportunities for enterprises small to large. Open source is popular for many companies and organizations because they lower cost and have the opportunity to increase return on investment. ITSulu uses a wide variety of open source software internally. We also release some of our software under open source licenses. We also contribute to open source projects.
Let us first start off with interesting open source software in 2021. Continuing migration and use of cloud computing services are key drivers for open source.
Apache Kylin is distributed analytics engine granting an SQL interface and Online analytical processing (OLAP) on Hadoop and Alluxio.
Hadoop is a collection of open source software enabling a large number of networked computers to solve solve large data set computation. It has distributed storage and uses MapReduce and the framework handles failures.
Alluxio is an open source virtual distributed file system (VDFS) and provides data abstraction (simplification). This enables multiple applications running on multiple storage systems, including Hadoop and other data analytic, machine learning, and artificial intelligence. It can run in a variety of environments including public and private clouds, bare metal, and containers.
Crystal is a Ruby inspired, object oriented, high level, general purpose programing language. It differs from Ruby in that it is compiled and uses static typing (vs Ruby's interpreted and dynamically typed language). Due to it's complied and static typing nature, it provides the performance of C like programming languages with the features of Ruby. 1.0 release was in March of 2021under the Apache 2.0 open source license and is hosted in github. The classic "Hello World" program using an object-oriented programming style
TensorFlow is an open source library of software used in machine learning and artificial intelligence. It released under the Apache 2.0 and was developed by Google and hosted in Github. It uses deep learning neural networks for developing and training machine learning applications
A large number of business and industries use TensorFlow. This includes health care, search, education, retail, social media, research, and more. This is especially the case since the release of TensorFlow 2.0 in September 2019. When a ML solution is selected, it typically involves TensorFlow
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Reference
The 10 Coolest Open-Source Software Tools Of 2021
9 open source alternatives to try in 2022