Struggling to choose between Paperspace and Kasm Workspaces? Both products offer unique advantages, making it a tough decision.
Paperspace is a Remote Work & Education solution with tags like cloud-computing, virtual-desktop, software-development.
It boasts features such as Virtual desktops and workstations in the cloud, GPU accelerated computing, Jupyter Notebooks support, Integrated development environments, Team collaboration tools, APIs for automation and pros including Fast and powerful cloud computing resources, Flexible pricing and sizing options, Collaboration features, Integrations with popular tools and frameworks, Global infrastructure.
On the other hand, Kasm Workspaces is a Remote Work & Education product tagged with container, browserbased, workspace, development, data-science, devops.
Its standout features include Browser-based container workspaces, Prebuilt container images for development, data science, DevOps, etc, Open source and self-hosted option, Workspace collaboration and sharing, Access controls and user management, Optimized streaming for web applications, Integration with Kubernetes and Docker, and it shines with pros like Easily launch preconfigured dev environments, Access your tools and workflows from any browser, Share workspaces for collaboration, Open source allows customization and self-hosting, More lightweight than full VDI solutions.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Paperspace is a cloud computing platform that provides virtual desktops and software development environments for individuals and teams. It allows users to access high-powered cloud computers to run graphics and CPU intensive applications.
Kasm Workspaces is an open-source container management platform that allows users to easily deploy browser-based workspaces. It supports launching multiple containers with different tools preconfigured for development, data science, DevOps, and more.