1. Installation and Background

• 1.1. Install AFNI on Your Own Computer
  • 1.1.1. Overview
  • 1.1.2. Linux, Ubuntu 15.10 and earlier
  • 1.1.3. Linux, Ubuntu 16.04 - 17.10
  • 1.1.4. Linux, Ubuntu 18.04
  • 1.1.5. Linux, Ubuntu 20.04
  • 1.1.6. Linux, Ubuntu 22.04
  • 1.1.7. Linux, Fedora
  • 1.1.8. Linux, Red Hat
  • 1.1.9. Mac OS, 10.9-15 (via command line)
  • 1.1.10. Mac OS, 10.13-15 (via App)
  • 1.1.11. macOS, 12+ (Apple Silicon: M1, M2, …)
  • 1.1.12. macOS, 12+ (Intel chip)
  • 1.1.13. Windows 10: Windows Subsystem for Linux (WSL)
  • 1.1.14. old Windows 10: Bash on Ubuntu (beta)
• 1.2. Install AFNI on Administered Systems
  • 1.2.1. Mac OS (admin’ed): the administrator part
  • 1.2.2. Mac OS (admin’ed): the regular user part
• 1.3. Work with Docker/Containerized AFNI
  • 1.3.1. Install the Docker Engine
  • 1.3.2. Use pre-built dockerfile
  • 1.3.3. Neurodocker
• 1.4. Download other/specific AFNI/SUMA software
  • 1.4.1. Overview
  • 1.4.2. Update existing AFNI binaries
  • 1.4.3. Download current precompiled AFNI binaries
  • 1.4.4. To: download the AFNI source code
  • 1.4.5. To: browse all AFNI packages (and atlases)
• 1.5. Prep for Bootcamp
• 1.6. Miniconda: Python(s) in a convenient setup
  • 1.6.1. Overview
  • 1.6.2. Set up Conda (verbose)
  • 1.6.3. Set up Conda (quick)
  • 1.6.4. Short list of conda commands
  • 1.6.5. A note on making envs, re. AFNI and more
  • 1.6.6. Fancier things with Conda
  • 1.6.7. Comments on AFNI-specific conda environments