Skip to content

Software for macromolecular model-building

License

GPL-3.0, LGPL-3.0 licenses found

Licenses found

GPL-3.0
COPYING
LGPL-3.0
COPYING.LESSERv3
Notifications You must be signed in to change notification settings

stuartjamesmcnicholas/coot

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Coot

Ubuntu binary build badge

chapi binary build badge

macOS binary build badge

Coot is a toolkit for Macromolecular Crystallography and model-building. Coot uses GTK widgets mmdb, clipper, and OpenGL to provide interactive tools for model-building, refinement and validation.

Installing by package managers

The easiest way to install Coot is using package managers.

Homebrew (Mac / Linux)

After installing Homebrew, run the commands below.

brew install brewsci/bio/coot
coot

APT (Debian)

Install to run using commands below.

# Add sid (Debian's unstable package repo) 
echo "deb http://deb.debian.org/debian unstable main" | sudo tee -a /etc/apt/sources.list
sudo apt update
sudo apt install coot
coot

Flatpak (Linux in general)

Download on Flathub

After installing Flatpak and registering Flathub, run the commands below. (You will need admin privileges to install Flatpak with sudo.)

flatpak install flathub io.github.pemsley.coot

# Simply click Coot's icon in the menu, or
flatpak run io.github.pemsley.coot  

Building from source

See this.

Blog

Coot Development Blog

Badges

Powered by RDKit

Python 3.11

About

Software for macromolecular model-building

Resources

License

GPL-3.0, LGPL-3.0 licenses found

Licenses found

GPL-3.0
COPYING
LGPL-3.0
COPYING.LESSERv3

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 78.0%
  • Python 6.9%
  • Jupyter Notebook 3.8%
  • Scheme 3.5%
  • C 2.7%
  • Shell 2.5%
  • Other 2.6%