top 10 open source tools 2021

The future of work is here and it’s open-source. Organizations are increasingly turning to open source solutions for their information technology needs, and more and more people are choosing to work in an open office environment. As a business owner or even an individual, you need to be aware of what’s out there.

Open source projects have a way of evolving into mature, robust, reliable applications that businesses depend on. However, it can be hard to find the gems buried within the rubble. That’s why it’s important to know what’s trending, who the leading contributors are, and where to look for applications you can rely on.

In this post, we’ll share 20 open source tools you can use today to help you accomplish more tomorrow. Let’s get started.


Ansible is an open-source IT automation tool. It was developed in 2005 at Facebook as a way for developers to easily deploy code, configuration changes, and updates to production systems. It works by using SSH (secure shell) to communicate between servers on your network. It provides a command-line interface (CLI), which makes it easy for IT administrators to use. It can also be used to automate tasks such as deploying applications or updating software on remote servers.



Chef is another infrastructure-as-code (IaC) solution for automating your configuration management. Infrastructure-as-code (IaC) is a general term used to describe a collection of technologies and techniques that allow IT systems to be configured and managed by writing software rather than detailed, hard-to-remember text files. An IaC tool makes it easy to create and maintain an automated infrastructure that can be scaled up or down as needed, without having to make any changes to the underlying hardware. This helps ensure that the system remains stable and available for its intended purpose.


Terraform is another IaC tool that can be used for the initiation of building a cloud infrastructure. It works by writing a configuration file (terraform code) that controls the creation of various resources required to run a cloud infrastructure on a remote server. This enables the user to easily create and destroy servers and virtual networks at will. It also enables the user to easily change the software and settings of these servers without having to reconfigure or recreate the virtual network each time.

Apache Kylin

Apache Kylin™ is an open-source, distributed Analytical Data Warehouse for Big Data; it was designed to provide OLAP (Online Analytical Processing) for business intelligence and data discovery. Apache Kylin™ is an open-source, distributed analytical data warehouse that provides OLAP for business intelligence and data discovery. Apache Kylin™ is an open-source, distributed analytical data warehouse that provides OLAP for business intelligence and data discovery. It is based on Apache Spark™, an in-memory cluster computing engine that provides real-time processing, data compression, and fault tolerance. The Apache Kylin™ project consists of a set of software tools that can be used to create data warehouses and business intelligence solutions. The project also provides a series of APIs for various data sources, such as Hadoop, Hive, and Spark, that can be used to build analytical applications and data warehouses.

AWS SaaS Boost

AWS SaaS Boost is a service that provides an easy way to migrate your current on-premises applications to the cloud. It is designed for the use case where you have existing applications and need to move to the cloud.

AWS SaaS Boost works by taking your on-premises applications and deploying them as SaaS apps in the cloud. To do so, it uses the AWS Elastic Beanstalk service. The Elastic Beanstalk service enables you to easily manage and deploy applications in the cloud without having to worry about the underlying infrastructure. This makes it possible to deploy applications in a highly scalable and reliable way.


Crystal is a new general-purpose, object-oriented programming language. It has a very clean syntax and allows you to build large programs. It is built around the idea of objects and classes, which make it easier to design and understand programs. There are many features that make Crystal stand out from other programming languages. For example, it is statically typed, which means that you can be sure that your code will work as intended. Crystal also has a very high level of integration, so that your programs can interoperate with other systems.

Delta Sharing

Delta sharing aims to create an open-source data sharing protocol for securely sharing data across organizations in real-time. This protocol will allow users to upload data from their local computer to an organization’s servers, and then receive updates as new data arrives in real-time. Delta sharing is based on the concept of delta computing, which is the real-time processing of information on a distributed network of computers. In order to create a distributed computing environment, data must be shared among multiple computers. However, in order to secure this data, the data itself must be encrypted.


Grafana is an open-source tool that provides graph-based visualizations of your data. It is designed to help people quickly understand trends and gain insight into how data is distributed across time and space. You can use it to create dashboards to monitor any aspect of your infrastructure.

Grafana uses a dashboard to display data from your various monitoring systems, such as databases, logs, and metrics. For example, you can use Grafana to monitor the amount of disk space on your servers, the number of requests being made to your database, or the temperature of your data center.


Kubecost is an SRE-led company that provides real-time cost visibility and insights for teams using Kubernetes (K8S), helping you continuously reduce your cloud costs. We do this by offering a free service called Cost Explorer that lets you compare the actual prices of Google Cloud Platform (GCP) resources against a curated set of best practices. Our automated algorithms discover the lowest-cost paths to build and run your Kubernetes clusters, allowing you to save money without compromising on quality or performance. Our unique technology then surfaces the exact prices of every resource used in those paths so you can easily identify areas where you are overpaying for GCP resources.

Nrwl Nx

Nrwl Nx is a toolkit and framework for building, testing, and scaling enterprise-grade Angular applications. It is open-source and released under MIT license. It provides a collection of libraries and utilities to help you build and test Angular applications. It also includes tools for managing application deployments (for example, automatic rollouts), monitoring your app (for example, for performance and health), and scaling your app (for example, for high traffic). Nx is designed to be used by Angular developers, but it can also be used by non-Angular developers who want to use Angular for front-end development.

Red Hat OKD

OKD is built around a core of OCI (Open Container Initiative) container packaging and Kubernetes (open-source cluster management software). OKD is an operating system designed for containers. Containers are like virtual machines. Only the resources inside a container are used by the programs running in that container. This means that containers can be easily created and destroyed, and can be scaled up or down as needed. It also means that a web server can be moved from one physical machine to another without any downtime whatsoever.

OKD is the only OS specifically designed for containers. And, it is the most widely used operating system for containers today. In fact, if you are using Linux, there is a very high probability that at least some of your containers are running on an OKD-based system.



TensorFlow is an open-source software library for machine learning. It was originally developed by researchers at Google and released as open-source in June 2015. TensorFlow was designed to make machine learning easy and accessible to everyone. It is based on previous research by other Google projects such as “AutoML” (which aims to automate the design of machine learning models) and “Keras” (which is a high-level neural network API). TensorFlow is not a complete machine learning software system; rather it provides a framework within which users can implement their own machine learning algorithms.

TensorFlow can be used for classification, regression, time series, and more. The TensorFlow website says, “TensorFlow allows you to build, test, and deploy machine learning models quickly and easily, using a high-level Python programming language. You can use almost any pre-trained model available from the web as a starting point. And you get all of the tools you need to optimize model performance, including automatic differentiation, automatic graph optimization, and an active community of contributors and users.”



Kubernetes is an open-source system for automating the deployment, scaling, and management of containerized applications. It was originally developed by Google as an internal project and later open-sourced in 2015. Kubernetes is designed to be portable across on-premises or public clouds and can work with different types of workloads, including web apps, data analytics apps, and distributed applications. Kubernetes is highly scalable and can manage thousands of containers across hundreds of servers. In this thesis, the author explores the effectiveness of building a dataset based on past attacks launched against a specific target using past data from hundreds of thousands of web requests made by the author of the study against a specific target over an extended period of time. The dataset contained data extracted from hundreds of thousands of Internet attacks launched against a specific target over an extended period of time. The goal of this thesis is to challenge this assumption by showing the effectiveness of building a dataset based on information about past attacks.

In this study, a dataset was built using past data from hundreds of thousands of web requests made by the author of the study against a specific target. The dataset contained data extracted from hundreds of thousands of Internet attacks launched against a specific target over an extended period of time. The end result is that the defender can now use this dataset to detect and defend against similar future attacks.

The dataset was created using a very large collection of attack information available online. This dataset can be used by any organization that has access to the Internet and the computing power to mine it. The dataset was originally built to help a specific client defend against an especially sophisticated and well-funded group of attackers. But the knowledge gained from the previous attacks is also difficult to use. The defender needs to know what the threat of the attack is. If he is aware of an attacker’s past, he can learn how to detect and defend against specific attacks.


Docker is a software platform that automates the deployment of applications in containers.

Docker is based on a Linux kernel technology called Linux containers (LXC) that allows multiple operating systems to run side-by-side in the same system. Containers are similar to virtual machines (VMs), except that they share the same kernel as the host machine, which means that they can interact with it directly. As a result, they can use the same filesystems, network interfaces, and devices, without having to emulate them. Because all processes in a container run in their own isolated environments, the applications inside the container cannot access each other’s data or read each other’s memory. This makes it easier to control, deploy, and scale containers.


In conclusion, I think that the best way to learn about the latest tools is to use them. If you can find a way to do something, then it is a great place to start.

Once you have started using some of the tools that I listed, you can also check out other people’s experiences on sites like Reddit and Hacker News.

CTA: Download my free guide on how to find and use top 10 open source tools of 2021

By Muthali Ganesh

I am an engineer wih a masters in business administration from Chennai, India. I love discovering and sharing hacks.