Metadata-Version: 2.1 Name: abipy Version: 0.9.8 Summary: Python package to automate ABINIT calculations and analyze the results. Home-page: https://github.com/abinit/abipy Download-URL: https://github.com/abinit/abipy Author: M. Giantomassi and the AbiPy group Author-email: matteo.giantomassi@uclouvain.be Maintainer: Matteo Giantomassi Maintainer-email: matteo.giantomassi@uclouvain.be License: GPL Keywords: ABINIT,ab-initio,density-function-theory,first-principles,electronic-structure,pymatgen Platform: Linux Platform: darwin Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Development Status :: 4 - Beta Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2) Classifier: Operating System :: OS Independent Classifier: Topic :: Scientific/Engineering :: Information Analysis Classifier: Topic :: Scientific/Engineering :: Physics Classifier: Topic :: Scientific/Engineering :: Chemistry Classifier: Topic :: Software Development :: Libraries :: Python Modules Description-Content-Type: text/x-rst License-File: LICENSE Requires-Dist: monty Requires-Dist: packaging Requires-Dist: tabulate Requires-Dist: apscheduler <=3.10.4 Requires-Dist: pydispatcher >=2.0.5 Requires-Dist: tqdm Requires-Dist: pyyaml >=3.11 Requires-Dist: pandas Requires-Dist: numpy <2.0.0 Requires-Dist: scipy Requires-Dist: spglib Requires-Dist: pymatgen >=2022.0.14 Requires-Dist: netCDF4 Requires-Dist: matplotlib Requires-Dist: seaborn Requires-Dist: plotly Requires-Dist: ipython Requires-Dist: chart-studio Requires-Dist: click Requires-Dist: phonopy Requires-Dist: ase AbiPy is a Python library to analyze the results produced by `ABINIT `_, an open-source program for the ab-initio calculations of the physical properties of materials within Density Functional Theory and Many-Body perturbation theory. AbiPy also provides tools to generate input files and workflows to automate ab-initio calculations and typical convergence studies. AbiPy is interfaced with `Pymatgen `_ allowing users to benefit from the different tools and python objects available in the pymatgen ecosystem. The official documentation is hosted on `github pages `_. AbiPy can be used in conjunction with `matplotlib `_, `pandas `_, `ipython `_ and `jupyter `_ thus providing a powerful and user-friendly environment for data analysis and visualization. Check out our `gallery of plotting scripts `_ and the `gallery of AbiPy workflows `_. To learn more about the integration between jupyter and AbiPy, visit our collection of `notebooks `_ and the `AbiPy lessons `_. The latest development version is always available from