Skip to main content

Log MD trajectories with `dyn.attach(LogMd()(atoms)).

Project description

LogMD: View/Share MD While It Runs

Try in Google Colab:
image

Install

pip install logmd

Try with demo.py, this colab or from terminal >logmd 1crn.pdb.

We currently only support Atomic Simulation Environment (ASE) - vote here for other backends

Doesn't solve your problem? Let us know! Like it? Buy us a coffee!

Use-cases

We built logmd for the two use-cases below. If there's a use-case we're missing, let's chat!

Case 1:

Inspect/share trajectory while simulation runs - just click/share the link logmd prints.

from logmd import LogMD
logmd = LogMD(num_workers=2)
dyn.attach(lambda: logmd(atoms), interval=4)
dyn.run(steps)

Case 2:

Document/visualize fixing of pdb before running simulation. Example: I want to simulate '1crn.pdb' but need to add missing residues, hydrogens, water, pH and so on. To document everything, I run logmd watch 1crn.pdb which stores all versions of 1crn.pdb as a trajectory.

>logmd watch 1crn.pdb # from terminal

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

logmd-0.1.4.tar.gz (5.9 kB view details)

Uploaded Source

Built Distribution

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

logmd-0.1.4-py3-none-any.whl (6.4 kB view details)

Uploaded Python 3

File details

Details for the file logmd-0.1.4.tar.gz.

File metadata

  • Download URL: logmd-0.1.4.tar.gz
  • Upload date:
  • Size: 5.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.4

File hashes

Hashes for logmd-0.1.4.tar.gz
Algorithm Hash digest
SHA256 bcdd2972cd9a80a7fd3738d193840580788e60b356b0f376893a9c730d6b8db0
MD5 cd49043f1c4caa43f90820476fb42af4
BLAKE2b-256 08ccf716077d34b39f3e82b6d37de0baf99e7804df77ab657de048800d59706a

See more details on using hashes here.

File details

Details for the file logmd-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: logmd-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 6.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.4

File hashes

Hashes for logmd-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 aa01077f2bad5afdf7ef03785092590866252a77bc9981d8088361302977bf2b
MD5 2edb5188924a04536d107baf766a9dad
BLAKE2b-256 27a8114f4d224bb6b970bdca64159a514ad3ee1d32c91585f53ba074739d7992

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