Skip to main content

Biomolecular simulation remote job submission tool.

Project description

ci PyPI - Version PyPI - Status PyPI - Downloads Pepy Total Downloads Coverage Status Docs - Status

Longbow

Longbow is an automated simulation submission and monitoring tool. Longbow is designed to reproduce the look and feel of using software on the users local computer with the difference that the heavy lifting is done by a supercomputer.

Longbow will automatically generate the necessary submit files and handle all initial file transfer, monitor jobs, transfer files at configurable intervals and perform final file transfer and cleanup.

Longbow can be used to launch one-off jobs, generate ensembles of similar jobs or even run many different jobs over many different supercomputers.

Out of the box, Longbow is currently supporting the PBS/Torque, LSF, SGE, Slurm, SoGE schedulers and ships with application plugins for commonly used bio-molecular simulation softwares AMBER, CHARMM, GROMACS, LAMMPS, NAMD. Longbow is however highly configurable and will function normally with generic software without plugins, however plugins can easily be made to extend Longbow to fully support applications and schedulers that do not ship out of the box.

Using Longbow can be as simple as the following example:

local: executable -a arg1 -b arg2 -c arg3

remote: longbow executable -a arg1 -b arg2 -c arg3

Longbow is also available to developers of applications which require support for automating job submission. Longbow is available as a convenient and light-weight python API that can be integrated in a number of different way.

Licensing

Longbow is released under the BSD 3-clause license. A copy of this license is provided when Longbow is downloaded and installed.

Citing

If you make use of Longbow in your own code or in production simulations that result in publishable output, then please reference our paper:

Gebbie-Rayet, J, Shannon, G, Loeffler, H H and Laughton, C A 2016 Longbow: A Lightweight Remote Job Submission Tool. Journal of Open Research Software, 4: e1, DOI: http://dx.doi.org/10.5334/jors.95

Installation

Releases can be installed either via pip or can be installed manually, to install via pip:

pip install longbow

Documentation

Documentation for Longbow users can be found here:

https://longbow.readthedocs.io/

Examples

Example files can be installed either through the Longbow command-line or by downloading from the HECBioSim website manually:

longbow --examples

or

https://file-store.hecbiosim.org/longbow-examples.zip

Support

Support for any issues arising from using Longbow, whether these are questions, to report a bug or to suggest new ideas. You should use the Longbow forums here:

https://github.com/HECBioSim/Longbow/issues

Developers

Developers that wish to contribute to Longbow are welcome. We do ask that if you wish to contribute to the Longbow base code that you contact us first.

The following resources are available to developers:

Code repository: https://github.com/hecbiosim/longbow

Unit testing: https://github.com/HECBioSim/Longbow/actions

Code coverage: https://coveralls.io/github/HECBioSim/Longbow

Project details


Download files

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

Source Distribution

longbow-1.5.5.tar.gz (18.9 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

longbow-1.5.5-py3-none-any.whl (78.5 kB view details)

Uploaded Python 3

File details

Details for the file longbow-1.5.5.tar.gz.

File metadata

  • Download URL: longbow-1.5.5.tar.gz
  • Upload date:
  • Size: 18.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.34.2

File hashes

Hashes for longbow-1.5.5.tar.gz
Algorithm Hash digest
SHA256 a92ad6a31d960575f8f78746744bbf427e95cfb87890cc1a2b659e0ec1d96970
MD5 8285318e15dd26975a017740458df608
BLAKE2b-256 9de4c1eca48bdfd7c2ff1051de2ecf99633495ccbc40a93a42ee554629d44fdc

See more details on using hashes here.

File details

Details for the file longbow-1.5.5-py3-none-any.whl.

File metadata

  • Download URL: longbow-1.5.5-py3-none-any.whl
  • Upload date:
  • Size: 78.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.34.2

File hashes

Hashes for longbow-1.5.5-py3-none-any.whl
Algorithm Hash digest
SHA256 5426fc36e9b632098418c20a5066cc1bc1a005d3ab0fc05639dafe6f42797718
MD5 d7f498898205d51f97e564d22ff0bfff
BLAKE2b-256 d7ba789b76d322b7860f0fa0787b997125d83d15dbdb251a3fec767e351a9141

See more details on using hashes here.

Supported by

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