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 designed to meet climate research necessities. Unlike other workflow solutions in the domain, it integrates the capabilities of an experiment manager, workflow orchestrator and monitor in a self-contained application. The experiment manager allows for defining and configuring 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 involve from a few to thousands of steps and from one to multiple platforms.

Autosubmit facilitates easy and fast integration and relocation on new platforms. On the one hand, users can rapidly execute general scripts and progressively parametrize them by reading Autosubmit variables. On the other hand, it is a self-contained desktop application capable of submitting jobs to remote platforms without any external deployment.

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

Autosubmit is a Python package provided in PyPI. Conda recipes can also be found on the website. A containerized version for testing purposes is also available but not public yet.

It has contributed to various European research projects and runs different operational systems. During the following years, it will support some of the Earth Digital Twins as the Digital Twin Ocean.

Concretely, it is currently used at Barcelona Supercomputing Centre (BSC) to run models (EC-Earth, MONARCH, NEMO, CALIOPE, HERMES…), operational toolchains (S2S4E), data-download workflows (ECMWF MARS), and many other. Autosubmit has run these workflows in different supercomputers in 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-4.0.4.tar.gz (12.9 MB view details)

Uploaded Source

Built Distributions

autosubmit-4.0.4-py3-none-any.whl (371.7 kB view details)

Uploaded Python 3

autosubmit-4.0.4-py2-none-any.whl (371.7 kB view details)

Uploaded Python 2

File details

Details for the file autosubmit-4.0.4.tar.gz.

File metadata

  • Download URL: autosubmit-4.0.4.tar.gz
  • Upload date:
  • Size: 12.9 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-4.0.4.tar.gz
Algorithm Hash digest
SHA256 dd31ccf5548382065a7450acb0b855e743ea4dded5c6595b2c902b3745679b23
MD5 5d883e311deb06ac569286a673835376
BLAKE2b-256 eeabc7c7b57a9ddf6f5a54e47a5be83001b3f1dd7718425bf50ad991f4269772

See more details on using hashes here.

File details

Details for the file autosubmit-4.0.4-py3-none-any.whl.

File metadata

  • Download URL: autosubmit-4.0.4-py3-none-any.whl
  • Upload date:
  • Size: 371.7 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-4.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 5356762ba361061f0d3602300cf0acd96894fb69a5c74159b65a247bcd6461ef
MD5 8cd5bde976c2a7cf660abffa3fb345ad
BLAKE2b-256 3a9e526b038f76147c6ad209d4533158ba6fc2ce3720c715183fed902f5e5dce

See more details on using hashes here.

File details

Details for the file autosubmit-4.0.4-py2-none-any.whl.

File metadata

  • Download URL: autosubmit-4.0.4-py2-none-any.whl
  • Upload date:
  • Size: 371.7 kB
  • Tags: Python 2
  • 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-4.0.4-py2-none-any.whl
Algorithm Hash digest
SHA256 fc4f297241be8eed169e309e4a55af4d6a8ba5472ff6dc466359ffece8897e80
MD5 7f9114b778b144fad1caf209bcc850b9
BLAKE2b-256 06c4f02c55bc1d691d498f60ea7fc1d6daf3f50c5e72cfa074381ff5553a4378

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