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Archive project.

Stefano Cossu 1 year ago
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README.md

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+---
+title: Lakesuperior
+---
+
+*This repository is no longer under active development. It is kept here for
+historical reference. The effort to build a compact asset repository has been
+moved to [https://git.knowledgetx.com/scossu/lsup_repo].*
+
+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.

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README.rst

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-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
-