Concurrent Versions System

vs

Gitpod

Git is a free and open source distributed version-control system for tracking changes in source code during software development. The tool is created by Linus Torvalds, the creator of Linux, and is used by virtually every software project today. With Git, developer can track changes in any sets of files in a project and coordinate the team to develop in a non-linear workflow to achieve maximum efficiency.

Apache Subversion is a versioning and revision control system (VCS) developed and maintained by the Apache Software Foundation. With Apache Subversion software developers can manage, document and organize changes to files and directories of software projects. With Subversion teams of developers can maintain the current and historical versions of a project source code with ease.

GitHub is a platform that provides hosting for software development version control for open source and closed source projects. The platform utilize the revision control system Git, and build services around this open-source technology. With GitHub developers and teams can collaborate on software projects and build, host, and promote source code of their own open-source projects. GitHub itself is closed-source and was acquired by Microsoft in 2018 for US$7.5 billion.

Glitch is a platform where developers and teams can collaborate when building apps or components of code. The platform is perfect for the next hackathon, or for budding developers that needs to learn how to program or code, rather then setting up environments. With Glitch, users can build full-stack web application right in the browser, fast, for free.

With PythonAnywhere you can host, run, and code Python in the cloud. PythonAnywhere is a hosting service that provides ready-to-go production environments. The platform allow you to host your code that you developed locally, or develop in the cloud. PythonAnywhere's web-based IDE provides syntax-highlighting, error-checking, Python 2 and 3 consoles, and a full set of batteries included. Allowing you to work with Python in the cloud, without installing and configuring a local development environment.