submitit
"Python 3.8+ toolbox for submitting jobs to Slurm
Decision gist · record as of 2026-08-14
Yes, if you regularly submit jobs to Slurm clusters from Python code. The low install friction, permissive license, stable maturity, and zero known vulnerabilities make it a safe choice. The aging maintenance status is a minor concern for a stable library but worth monitoring if you need active feature development.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Slurm cluster must be accessible; requires Python 3.8 or later
- Low install friction with only 2 runtime dependencies (cloudpickle and typing_extensions).
- Maintenance status is aging—last release was 240 days ago—but the package is stable.
License · maintenance · safety
permissive license (permissive) — MIT license is permissive; you can use submitit in proprietary projects without restriction, though you must include the license notice.
last release 2025-12-17 (240 days) · last repo commit 2026-01-14 · 1,631 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,685,236 downloads/mo, #3,654 on PyPI
Alternatives
Verify before relying
pip install submitit
import submitit
def add(a, b):
return a + b
executor = submitit.AutoExecutor(folder="log_test")
executor.update_parameters(timeout_min=1, slurm_partition="dev")
job = executor.submit(add, 5, 7)
output = job.result()- Whether Slurm must be installed on the submission machine or only on cluster nodes
- Compatibility with non-Slurm cluster schedulers beyond the plugin system mentioned
- Performance characteristics for large numbers of concurrent job submissions
What it is and what it does
Submitit is a Python 3.8+ library that simplifies job submission to Slurm clusters by wrapping the submission process and providing a concurrent.futures-compatible executor interface. You define a Python function, submit it via an executor, and retrieve results and logs programmatically—all from within Python rather than writing shell scripts. It handles job tracking, stdout/stderr capture, and can requeue preempted jobs.
The package is designed for researchers and engineers who want to launch compute tasks on HPC clusters without leaving Python. It trades off some of the distributed scheduling sophistication of other frameworks for lower-level control: each submitted task becomes an individual cluster job with its own logs and lifecycle, making it suitable for medium-to-large tasks rather than many small parallel operations.
Use it for
- Submit long-running Python functions to a Slurm cluster and poll for results without manual job tracking
- Prototype distributed code locally using concurrent.futures, then swap to submitit executor for cluster execution
- Capture and inspect individual job logs and stderr for debugging failed cluster tasks
- Implement checkpoint-and-requeue workflows for preemptible cluster environments
- Run hyperparameter searches or batch experiments where each trial is a separate cluster job
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you regularly submit jobs to Slurm clusters from Python code.
The low install friction, permissive license, stable maturity, and zero known vulnerabilities make it a safe choice. The aging maintenance status is a minor concern for a stable library but worth monitoring if you need active feature development.
Install
submitit on PyPI
Before you install
Low install friction with only 2 runtime dependencies (cloudpickle and typing_extensions). Maintenance status is aging—last release was 240 days ago—but the package is stable.
Slurm cluster must be accessible; requires Python 3.8 or later
License in practice
MIT license is permissive; you can use submitit in proprietary projects without restriction, though you must include the license notice.
Quickstart
pip install submitit
import submitit
def add(a, b):
return a + b
executor = submitit.AutoExecutor(folder="log_test")
executor.update_parameters(timeout_min=1, slurm_partition="dev")
job = executor.submit(add, 5, 7)
output = job.result()Verify before relying
- Whether Slurm must be installed on the submission machine or only on cluster nodes
- Compatibility with non-Slurm cluster schedulers beyond the plugin system mentioned
- Performance characteristics for large numbers of concurrent job submissions
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagescloudpickletyping_extensions |
| Maintenance | Aging 240 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,685,236 / month, #3,654 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: MIT LicenseTopic :: System :: Distributed Computing |
Evidence: submitit-1.5.4-py3-none-any.whl
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See also hydra-submitit-launcher · slurm-usage · dask-jobqueue · aws-parallelcluster · clusterscope · Flask-Executor · torchx · git-review · codeflare-sdk · bounded-pool-executor