Skip to main content

Autosubmit is a Python-based workflow manager to create, manage and monitor complex tasks involving different substeps, such as scientific computational experiments. These workflows may involve multiple computing systems for their completion, from HPCs to post-processing clusters or workstations. Autosubmit can orchestrate all the tasks integrating the workflow by managing their dependencies, interfacing with all the platforms involved, and handling eventual errors.

Project description

Autosubmit is a lightweight workflow manager and meta-scheduler. It was originally designed in 2011 for use in climate research for configuring and running experiments. In the last few years, it has been extended to cover additional use cases, and today it is used as a general orchestration tool. It supports scheduling jobs to remote batch servers (via SSH) such as PBS, LSF, SLURM, and SGE.

Autosubmit is a Python package provided in PyPI, which facilitates easy and fast integration and relocation on new platforms. Conda recipes are available on the project website. A containerized version for testing purposes is also available but not public yet.

The features found in Autosubmit characterize it as both an experiment manager and also as a workflow orchestrator. The experiment manager allows users to define and configure experiments, supported by a hierarchical database that ensures reproducibility and traceability. The orchestrator is designed to run complex workflows in research and operational mode by managing their dependencies and interfacing with local and remote hosts.

These multi-scale workflows can contain from a few steps to thousands of steps, and from a single platform to multiple platforms. Platform is a concept in Autosubmit to abstract servers. A workflow configuration can include one or multiple platforms, allowing the workflow to run on any number of servers via password-less SSH without any external deployment.

Due to its robustness it can handle different eventualities such as networking connectivity issues or I/O errors. The monitoring capabilities extend beyond the command-line application through a REST API that allows communication with workflow monitoring tools such as the Autosubmit web GUI.

It has contributed to various European research projects and runs different operational systems. It will support the Earth Digital Twins as the Digital Twin Ocean over the next years.

It is currently used at the Barcelona Supercomputing Centre (BSC) to run models (EC-Earth, MONARCH, NEMO, CALIOPE, HERMES, and others), operational toolchains (S2S4E), data-download workflows (ECMWF MARS), and for many other use cases. Autosubmit has been used to run workflows in different supercomputers at BSC, ECMWF, IC3, CESGA, EPCC, PDC, and OLCF.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

autosubmit-4.0.89.tar.gz (8.5 MB view details)

Uploaded Source

Built Distribution

autosubmit-4.0.89-py3-none-any.whl (434.4 kB view details)

Uploaded Python 3

File details

Details for the file autosubmit-4.0.89.tar.gz.

File metadata

  • Download URL: autosubmit-4.0.89.tar.gz
  • Upload date:
  • Size: 8.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.22.0 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.30.0 importlib-metadata/4.11.1 keyring/18.0.1 rfc3986/2.0.0 colorama/0.4.3 CPython/3.8.10

File hashes

Hashes for autosubmit-4.0.89.tar.gz
Algorithm Hash digest
SHA256 aade6ca4c31b2d05fcde7d1a0d27d514393f145edc0b37b3c4ea6cf53aaa49c3
MD5 c76e6d59b404c3755d362756e511931d
BLAKE2b-256 169739547597859c09d9f8cbec61546eee1ee9131b41e55e8261b7bbb59f754a

See more details on using hashes here.

File details

Details for the file autosubmit-4.0.89-py3-none-any.whl.

File metadata

  • Download URL: autosubmit-4.0.89-py3-none-any.whl
  • Upload date:
  • Size: 434.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.22.0 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.30.0 importlib-metadata/4.11.1 keyring/18.0.1 rfc3986/2.0.0 colorama/0.4.3 CPython/3.8.10

File hashes

Hashes for autosubmit-4.0.89-py3-none-any.whl
Algorithm Hash digest
SHA256 ac39a46a2c71a9497b23205b23d5dd707df1763ce2c8603d3da20c9ac66ff2d1
MD5 0e917504d244cd5ab1467620aa338203
BLAKE2b-256 3f3ba05d44d02b630e792cb02903e10b5e0568b1bd56238c9461912c358ab0ac

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page