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Tech riderRev. 5 Oct 2026

dagster-slurm

Ch 166.9of 37 Workflow Orchestration Software
  1. 1Runs onAPI, Linux, Mac, self-hosted
  2. 2CostsFree plan
  3. 3Deployment modelself-hosted
3 lines stated Written from the maker's own pages: dagster-slurm.geoheil.com
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Overview

dagster-slurm is ranked #16 of 37 in workflow orchestration software on Specifiction. It runs on API, Linux, macOS, Self-hosted. There is a free plan.

dagster-slurm plans and pricing

All plans
Open-source software Free Dagster and Slurm required · Python 3.12 development conventions · Slurm cluster needed for cluster execution dagster-slurm.geoheil.com · 5 Oct 2026

Compared on workflow orchestration software

Free plan
Yesdagster-slurm.geoheil.com
Deployment model
self-hosteddagster-slurm.geoheil.com

Facts

Purpose
dagster-slurm lets Dagster assets run locally during development and on a Slurm cluster in production.dagster-slurm.geoheil.com · 5 Oct 2026
Job submission
It transfers the current checkout payload and Pixi-locked environment, submits jobs with Slurm, and returns job status and logs to Dagster.dagster-slurm.geoheil.com · 5 Oct 2026
Pipeline orchestration
Dagster asset dependencies and lineage can connect data ingestion, Slurm compute, and downstream aggregation or publishing.dagster-slurm.geoheil.com · 5 Oct 2026
Observability
Dagster can display Slurm state, logs, CPU efficiency, memory, elapsed time, and node-hours for asset runs.dagster-slurm.geoheil.com · 5 Oct 2026
Execution modes
The stable execution modes are local and Slurm, with one Slurm job per asset by default.dagster-slurm.geoheil.com · 5 Oct 2026
Ray integration
Ray is a first-class launcher for distributed execution, GPU scheduling, and optional run-scoped allocation reuse.dagster-slurm.geoheil.com · 5 Oct 2026
Spark integration
The documentation labels the Spark integration as work in progress.dagster-slurm.geoheil.com · 5 Oct 2026
Experimental features
Heterogeneous Slurm jobs are experimental; run-scoped allocation reuse is currently focused on Ray assets.dagster-slurm.geoheil.com · 5 Oct 2026
Cluster connectivity
The product connects to Slurm clusters over SSH and supports key-based authentication, jump hosts, and configurable host-key checking.dagster-slurm.geoheil.com · 5 Oct 2026
Secrets handling
Cluster connection details can be provided through runtime environment variables so credentials can be kept out of the repository.dagster-slurm.geoheil.com · 5 Oct 2026
Environment packaging
Jobs use Pixi environments, and production mode expects a pre-deployed environment bundle on the cluster.dagster-slurm.geoheil.com · 5 Oct 2026
Local development
Assets can run locally without SSH or Slurm, and the project provides a Docker Compose Slurm stack for testing cluster workflows.dagster-slurm.geoheil.com · 5 Oct 2026
Support
The project directs users to GitHub Discussions for questions and how-to requests, GitHub Issues for bugs and feature requests, and Dagster Slack for broader ecosystem questions.dagster-slurm.geoheil.com · 5 Oct 2026
Intended users
The docs describe laptop-first development and cluster use for compute-heavy Dagster assets, including model training and hyper-parameter sweeps.dagster-slurm.geoheil.com · 5 Oct 2026

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