Metadata-Version: 2.1 Name: tables Version: 3.9.2 Summary: Hierarchical datasets for Python Author: Francesc Alted, Ivan Vilata, Antonio Valentino, Anthony Scopatz, et al. Author-email: pytables@pytables.org Maintainer-email: PyTables maintainers License: BSD 3-Clause License Project-URL: homepage, http://www.pytables.org Project-URL: documentation, http://www.pytables.org Project-URL: repository, https://github.com/PyTables/PyTables Project-URL: changelog, http://www.pytables.org/release_notes.html Project-URL: tracker, https://github.com/PyTables/PyTables/issues Keywords: hdf5 Platform: any Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Developers Classifier: Intended Audience :: Information Technology Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: BSD License Classifier: Operating System :: Microsoft :: Windows Classifier: Operating System :: Unix Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3 :: Only 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: Topic :: Database Classifier: Topic :: Software Development :: Libraries :: Python Modules Requires-Python: >=3.9 Description-Content-Type: text/x-rst License-File: LICENSE.txt Requires-Dist: numpy >=1.19.0 Requires-Dist: numexpr >=2.6.2 Requires-Dist: packaging Requires-Dist: py-cpuinfo Provides-Extra: doc Requires-Dist: sphinx <6,>=1.1 ; extra == 'doc' Requires-Dist: sphinx-rtd-theme ; extra == 'doc' Requires-Dist: numpydoc ; extra == 'doc' Requires-Dist: ipython ; extra == 'doc' PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Cython sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.