Fabric vs Pallet: What are the differences?
What is Fabric? Simple, Pythonic remote execution and deployment. Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution..
What is Pallet? Automates controlling and provisioning cloud server instances. DevOps for the JVM. The machines being managed require no special dependencies to be installed. As long as they have bash and ssh running, they can be used with pallet. Pallet has no central server to set up and maintain - it simply runs on demand. You can run it from anywhere, even over a remote REPL connection.
Fabric and Pallet can be primarily classified as "Server Configuration and Automation" tools.
Fabric and Pallet are both open source tools. Fabric with 11.4K GitHub stars and 1.73K forks on GitHub appears to be more popular than Pallet with 802 GitHub stars and 122 GitHub forks.
What is Fabric?
What is Pallet?
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We use Fabric for automating deployment and maintenance tasks: bootstrapping and updating application servers (using the "rolling update" pattern), pulling logs from the servers, running manage.py maintenance commands.
Automate everything! I have fabfiles for testing, bootstrapping, deployment, and building. Easy to customize and its pure python.