For most users looking for a portable, ready-to-go experience, Conda is the recommended path. It handles the environment isolation perfectly: conda install -y -c conda-forge ndcctools Use code with caution.
Developed by the Cooperative Computing Lab at the University of Notre Dame , CCTools is a software package designed for . It enables applications to run seamlessly across clusters, clouds, and grids. The toolchain is often used for: cctools 65 portable
: You can deploy the toolchain in your home directory or on shared storage without needing administrative privileges. For most users looking for a portable, ready-to-go
Traditional high-performance computing (HPC) environments often have strict limitations on what software can be installed. Using a portable CCTools setup offers several advantages: It enables applications to run seamlessly across clusters,
: A virtual file system that allows applications to access remote data (via HTTP, FTP, or Chirp) as if it were on a local disk, requiring no special privileges. Why Use a Portable Version?
: Processing large-scale sky surveys where data is spread across multiple global repositories.
: A framework for building custom master-worker applications that can dynamically scale.