Metadata-Version: 1.2
Name: lakesuperior
Version: 1.0.0a20
Summary: A Linked Data Platform repository sever.
Home-page: https://lakesuperior.readthedocs.io
Author: Stefano Cossu <@scossu>
License: Apache License Version 2.0
Project-URL: Source Code, https://github.com/scossu/lakesuperior/
Project-URL: Documentation, https://lakesuperior.readthedocs.io
Project-URL: Discussion, https://groups.google.com/forum/#!forum/lakesuperior
Project-URL: Bug Reports, https://github.com/scossu/lakesuperior/issues
Description: Lakesuperior
        ============
        
        |build status| |docs| |pypi| |codecov|
        
        Lakesuperior is a Linked Data repository software. It is capable of storing and
        managing  large volumes of files and their metadata regardless of their
        format, size, ethnicity, gender identity or expression.
        
        Lakesuperior is an alternative `Fedora Repository
        <http://fedorarepository.org>`__ implementation. Fedora is a mature repository
        software system historically adopted by major cultural heritage institutions
        which extends the `Linked Data Platform <https://www.w3.org/TR/ldp-primer/>`__
        protocol.
        
        Guiding Principles
        ------------------
        
        Lakesuperior aims at being a reliable and efficient Fedora 4 implementation.
        
        Its main goals are:
        
        -  **Reliability:** Based on solid technologies with stability in mind.
        -  **Efficiency:** Small memory and CPU footprint, high scalability.
        -  **Ease of management:** Tools to perform migration, monitoring and
           maintenance included.
        -  **Simplicity of design:** Straight-forward architecture, robustness
           over features.
        
        Key features
        ------------
        
        - Stores binary files and RDF metadata in one repository.
        - Multi-modal access: REST/LDP, command line and native Python API.
        - (`almost <fcrepo4_deltas>`_) Drop-in replacement for Fedora4
        - Very stable persistence layer based on
          `LMDB <https://symas.com/lmdb/>`__ and filesystem. Fully
          ACID-compliant writes guarantee consistency of data.
        - Term-based search and SPARQL Query API + UI
        - No performance penalty for storing many resources under the same
          container, or having one resource link to many URIs
        - Extensible provenance metadata tracking
        - Fits in a pocket: you can carry 50M triples in an 8Gb memory stick.
        
        Installation & Documentation
        ----------------------------
        
        With Docker::
        
            git clone --recurse-submodules https://github.com/scossu/lakesuperior.git
            cd lakesuperior
            docker-compose up
        
        With pip (requires a C compiler to be installed)::
        
            pip install lakesuperior
        
        The full, current documentation is maintained in `Read The Docs
        <http://lakesuperior.readthedocs.io/>`__. Please refer to that for more info,
        including installation instructions.
        
        .. |build status| image:: http://img.shields.io/travis/scossu/lakesuperior/master.svg?style=flat
           :alt: Build Status
           :target: https://travis-ci.org/username/repo
        
        .. |docs| image:: https://readthedocs.org/projects/lakesuperior/badge/
            :alt: Documentation Status
            :target: https://lakesuperior.readthedocs.io/en/latest/?badge=latest
        
        .. |pypi| image:: https://badge.fury.io/py/lakesuperior.svg
            :alt: PyPI Package
            :target: https://badge.fury.io/py/lakesuperior
        
        .. |codecov| image:: https://codecov.io/gh/scossu/lakesuperior/branch/master/graph/badge.svg
          :alt: Code coverage
          :target: https://codecov.io/gh/scossu/lakesuperior
        
        
Keywords: repository linked-data
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Environment :: Web Environment
Classifier: Framework :: Flask
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Database :: Database Engines/Servers
Classifier: Topic :: Internet :: WWW/HTTP :: WSGI :: Application
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Requires-Python: >=3.6
