Skip to main content

Package for autmatic bonding analysis with Lobster/VASP

Project description

CI Status Documentation Status PyPI version PyPI downloads DOI


LobsterPy Logo

This is a package that enables automatic plotting of Lobster outputs. You can download Lobster on Currently, only VASP/Lobster computations are supported.


You can now use pip install lobsterpy to install it.

You can also pip install the package in development mode by writing pip install -e .. It will then use to install the package. One requirement of this package is pymatgen.

Basic usage

  • Automatic analysis and plotting of COHPs:

    You can use lobsterpy description for an automated analysis of COHPs for relevant cation-anion bonds or lobsterpy automatic-plot to plot the results automatically. It will evaluate all COHPs with ICOHP values down to 10% of the strongest ICOHP. You can enforce an analysis of all bonds by using lobsterpy automatic-plot --allbonds . Currently, the computed Mulliken charges will be used to determine cations and anions. If no CHARGE.lobster is available, the algorithm will fall back to the BondValence analysis from pymatgen. Please be aware that LobsterPy can only analyze bonds that have been included in the initial Lobster computation. Thus, please use the cohpgenerator within Lobster.

    It is also possible to start this automatic analysis from Python script. See "examples" for scripts.

  • Command line plotter:

    We included options to plot COHPs/COBIs/COOPs from the command line. lobsterpy plot 1 2 will plot COHPs of the first and second bond from COHPCAR.lobster. It is possible to sum or integrate the COHPs as well (--summed, --integrated). You can switch to COBIs or COOPs by using --cobis or --coops, respectively.

  • Other command line tools:

    lobsterpy create-inputs will create standard inputs based on existing POSCAR, POTCAR, INCAR files. It will allow to test for different basis sets that are available in Lobster. Currently only available for PBE_54 POTCARs.

  • Further help?

    You can get further information by using lobsterpy --help and also by typing lobsterpy description --help, lobsterpy automatic-plot --help, lobsterpy plot --help


Lobsterpy is released under a BSD 3-Clause "New" or "Revised" License.

How to cite?

Please cite our preprint: Please cite pymatgen, Lobster, and ChemEnv correctly as well.

Future plans:

  • Include automatic plotting for COBIs/COOPs
  • Include orbitals into automatic plotting


  • Contributions and suggestions for features are also welcome. Please write an Issue to describe your potential contribution or feature request.

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

lobsterpy-0.2.2.tar.gz (27.6 kB view hashes)

Uploaded source

Built Distribution

lobsterpy-0.2.2-py3-none-any.whl (29.5 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page