Projects tagged ‘lucene’ and ‘python’

Will be here soon

CyLucene provides bindings to the CLucene search engine library through the magic of Boost.Python. CyLucene 0.1 is minimally useful, and is far from a complete CLucene bridge. We’re in real need ... [More] of feedback as to what features we need to expose to make the package more generally useful. You can find contact info in the readme.txt file, and can file a bug as always. [Less]

OMERO is modern client-server software for visualising, managing, and annotating microscope images and metadata. The OMERO components also provide image importing, archiving, protocol recording, and ... [More] user administration. OMERO consists of a Java server, several Java client applications, as well as Python and C++ bindings and a Django-based web application. OMERO is designed, developed and released by the Open Microscopy Environment, with contributions from Glencoe Software, Inc. OMERO is released under the GNU General Public License (GPL). [Less]

This project is a pure python implementation of the famous Search Engine lib named Lucene with the current version 2.3. Nlupy means "New Lupy",but it's not the new edition of Lupy ... [More] (http://www.divmod.org/projects/lupy .The project has been RETIRED,and the version of Lucene it ported is 1.2) ,because I have no idea about its proper name,so I use the "Nlupy" for the moment. Although the Lucene have a python's edition known as PyLucene(http://pylucene.osafoundation.org) ,But it's not a pure python's rewritten edition. This project is in process...... [Less]

GrassyKnollGrassyKnoll is a search engine written in Python. NewsThe Warren Commission has reconvened and development is active again. Huzzah! Interested parties should try the unhork branch. ... [More] More slides from the talk at Barcamp Chicago on August 16 are up. Slides from the talk at the NYC Python User Group Meeting on June 17 are up. Version 0.4 is due out soon. This will be the first production-ready release. We had a great PyCon2008. Version 0.3 is out! Get it from the download page. HighlightsHigh-performance storage options: PyLucene, SQLite, DBM, Memcached A RESTful HTTP frontend Easy-to-use wire formats: JSON, HTML Clients in Python and Javascript A clean, powerful data model Lock-free Concurrency Extensive high-level and source code documentation A large suite of UnitTests Use CasesGrassyknoll can provide network-accessible search platform for applications such as: Database Search: add text search to your relational database Site Search: provide search this site functionality on your website Intranet Search: index all of your enterprise data Desktop Search: simultaneously index and search your laptop's documents, emails, etc. More! Hot LinksInstall Grassyknoll Try the Tutorial ContactUs CIA Bot Available VersionsWant to try GrassyKnoll? Use the unhork branch. Development takes place on trunk. Note: trunk is kinda horked right now. Version 0.3 is an exploratory release. It is available from the downloads page. You can also get the source from subversion. It's fully functional but not production ready. [Less]

This project has been renamed LuPyne.

A common feature on many websites is the ability to search the content. There are several solutions available to accomplish doing this. This project aims to provide a simple to use interface on top of Django to hook into these other projects.

The OAI Search is a means of harvesting Open Archives Initiative compliant repositories and indexing them using Lucene. The OAIS web interface is designed to be simple yet have many useful search features. Written in Python.

AboutPyLucene binaries for win32 Installationeasy_install http://pylucene-win32-binary.googlecode.com/files/lucene--eggUsage# Either add the directory containing jvm.dll to %PATH% # or modify the ... [More] PATH environment variable on runtime import os import os.path os.environ['PATH'] = os.path.join(os.environ['JAVA_HOME'], r'jre\bin\client') + ';' + os.environ['PATH] import lucene lucene.initVM(lucene.CLASSPATH) print "lucene", lucene.VERSION [Less]

This is a pure edition written by python , and start with the searcher package. So we can first index some data using Java Lucene 2.3 and put this to google appengine server and use it.