dagster-slurm
No phone app
6.2No. 20 of 37
in Workflow Orchestration Software
in Workflow Orchestration Software
- Recognised40% of the score20
- Phone app26% of the score0
- Documented20% of the score80
- Free plan14% of the score100
- Free plan
- Yes
- Runs on
- api, Linux, Mac, self-hosted
Summary
dagster-slurm is ranked #20 of 37 in workflow orchestration software on Samsung Mobile US Press. It runs on API, Linux, macOS, Self-hosted. There is a free plan.
dagster-slurm plans and pricing
All plansOpen-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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Sources
- dagster-slurm.geoheil.com/docs/intro/· checked 5 Oct 2026
- dagster-slurm.geoheil.com· checked 5 Oct 2026
- dagster-slurm.geoheil.com/docs/how-to/execution-modes/· checked 5 Oct 2026
- dagster-slurm.geoheil.com/docs/integration-ray/ray/· checked 5 Oct 2026
- dagster-slurm.geoheil.com/docs/contributing/· checked 5 Oct 2026



