A terminal UI for SLURM. Browse your completed and running jobs, read queued jobs, and tail stdout — all without leaving the terminal.
- Job list — shows jobs from the last 30 days via
sacct, refreshed every 2 seconds - Pending jobs at the top — pulls queued jobs from
squeueand prepends them with their wait reason (e.g.Resources,Priority) - Live stdout tail — right-hand panel tails the job's stdout file like
tail -f, updating every second - Large file support — reads files backwards in 64 KB chunks (same strategy as
tail), so multi-GB log files should open instantly - ANSI & progress bar stripping — cleans up tqdm bars and escape codes so the TUI stays readable
- SLURM path variables — resolves
%u,%j,%J,%A,%ain stdout paths automatically - Job details — shows job ID, name, user, account, start time, elapsed time, allocated CPUs, TRES, node list, and stdout path
- Cancel jobs — press
cto cancel the selected job (with confirmation prompt)
| Key | Action |
|---|---|
↑/↓ or j/k |
Navigate job list |
c |
Cancel selected job (running/pending only) |
y |
Confirm cancellation |
n or Esc |
Dismiss confirmation |
q or Ctrl+C |
Quit |
- A SLURM environment with
sacctandsqueuein$PATH - Terminal with 256-colour support
No Go toolchain needed on the cluster — just copy the pre-built binary.
Grab the latest binary from the Releases page and copy it to your cluster:
# Linux amd64 (most clusters)
wget -O slurmy https://github.com/bertaveira/slurmy/releases/latest/download/slurmy-linux-amd64
chmod +x slurmy
./slurmyMove the binary to a directory in your $PATH, or add an alias to your shell config:
# Option 1: Move to ~/bin (create it if needed)
mkdir -p ~/bin
mv slurmy ~/bin/
# Option 2: Add an alias to your .bashrc
echo 'alias slurmy="~/path/to/slurmy"' >> ~/.bashrc
source ~/.bashrcgit clone https://github.com/bertaveira/slurmy
cd slurmy
go build -o slurmy .
./slurmyCross-compile from macOS to Linux:
make build-linux-amd64 # → slurmy-linux-amd64
make build-linux-arm64 # → slurmy-linux-arm64
make build-all # both architecturesThen scp the binary to your cluster and run it.
MIT
