Showing 33 open source projects for "storage"

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  • 1
    Universal information crawler is a fast precise and reliable Internet crawler. Uicrawler is a program/automated script which browses the World Wide Web in a methodical, automated manner and creates the index of documents that it accesses.
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  • 2
    KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
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  • 3
    iROS is a meta-operating system for technology-rich "interactive rooms". The core components (Event Heap, DataHeap, iCrafter) provide communication, data storage, and service management for an iRoom.
    Downloads: 1 This Week
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  • 4
    A configurable knowledge management framework. It works out of the box, but it's meant mainly as a framework to build complex information retrieval and analysis systems. The 3 major components: Crawler, Analyzer and Indexer can also be used separately.
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  • 5
    SIP (Sample Inventory Program) is a web application for managing mass quantities of lab samples. It is the first out-of-the-box Zope 3 app, and is field-proven. SIP may be used as-is, or as inspiration for other Zope 3 apps. (e.g. O/R RDBMS storage)
    Downloads: 2 This Week
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  • 6
    idyuts is \"I Dare You to Use This Shell\"; a pre-hibernate approach to replacing an ORM written with jython functors into a pure-Java language command pattern. The \"pipeline codegen artifacts\" are simple IoC templates, and trivial to adapt
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  • 7
    SuperG is a code library written in Python intended to quickly enable programmers in a scientific environment to manage data files created by dispersed scientific instrumentation.
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  • 8

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    ...Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. ...
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