Open Source Linux Data Integration Tools - Page 3

LD-FusionTool covers the Data Fusion step in the integration process for RDF, where data are merged to produce consistent and clean representations of objects, and conflicts which emerged during data integration need to be resolved.

Developing a "bridge" to facilitate transfer of data between various databases(ith dis-similar schemas). JDBC and XML would be used.

This package contains a lightweight data transformation framework with a focus on transparency and complexity reduction. Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code. PostgreSQL as a data processing engine. Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines. GNU make semantics. Nodes depend on the completion of upstream nodes. No data dependencies or data flows. No in-app data processing: command line tools as the main tool for interacting with databases and data. Single machine pipeline execution based on Python's multiprocessing. No need for distributed task queues. Easy debugging and output logging. Cost based priority queues: nodes with higher cost (based on recorded run times) are run first.

N-Browse is a client-server package for interactive visualization of network data with heterogeneous types of links, intended for ease of use and designed using a generic database schema for data integration and visualization.

Nest Manager is a community SmartThings solution that integrates Nest devices—thermostats, Protects, and cameras—into the SmartThings ecosystem via a comprehensive SmartApp and device handlers. It offers a unified dashboard, rich device tiles, and automation hooks so users can monitor and control temperature, modes, and alerts alongside other smart home devices. The project emphasizes usability with guided setup flows, status summaries, and in-app diagnostics to help troubleshoot connectivity or permission issues. It exposes detailed attributes and commands, enabling powerful rules and scenes that coordinate Nest with sensors, presence, and schedules in SmartThings. Historical and environmental data can be surfaced to support energy-aware automations and notifications. For advanced users, it provides granular preferences to tune polling, event verbosity, and safety behaviors, turning SmartThings into a capable hub for Nest-centric homes.

ODI \ OWB ETL \ ELT Datawarehousing Data Integration

Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.

OPENSUITE - an integration platform to enable process data integration between independently developed business applications.OPENSUITE integration platform takes advantage of the SOA best integration practices to supply the middleware layer functionality

Ondex Web is a new web-based implementation of the network visualization and exploration tools from the Ondex data integration platform. New features such as context-sensitive menus and annotation tools provide users with intuitive ways to explore and manipulate the appearance of heterogeneous biological networks. Ondex Web is open source, written in Java and can be easily embedded into Web sites as an applet. Ondex Web supports loading data from a variety of network formats, such as XGMML, NWB, Pajek and OXL

Open Information Integration Tool Suite (Open II) is used by analysts and programmers to accelerate data integration and harmonization across organizations. OpenII has a neutral schema repository for browsing and comparing all sorts of data models. OpenII is built as a Rich Client Platform Application on top of Eclipse 3.x. Developers need to download Eclipse, install the RCP support, the Fatjar plugin and the Delta Pack in one of the 3.x flavors. Release Notes Release Date: Jan 2014 Build Version: 1.0.2666 Notes: 1. Now support for AVRO and HCatalog imports 2. Better support for OWL 3. New OWL and Containing Relationship viewers 4. Added case insensitive option in exact matcher for Harmony

PANDORA is a machine learning (ML) tool that can be used to integrate various data types, including clinical, transcriptome and microbiome data and find connections in large datasets. PANDORA can be easily installed using Docker, a pre-built version of the software can be pulled from DockerHub. In order to run a test instance of PANDORA, users will first need to prepare their local environment by downloading, installing, and configuring Docker. genular is a community behind SIMON an open-source Machine Learning KnowledgeDiscovery software, built by a vibrant community of people just like you! Join us and make SIMON even cooler! Exploratory analysis of machine learning results with the help of many different visualization techniques will give you instant insights into models and data.

PHPCI is a continuous integration (CI) server designed specifically for PHP applications. It automates tasks such as testing, code quality checks, and deployment, helping developers maintain code consistency and detect issues early. PHPCI supports various plugins and tools, including PHPUnit, PHPMD, and Codeception, making it highly customizable for different project needs.

PhantomJS-Node is a Node.js bridge to PhantomJS, enabling programmatic control of the headless browser for tasks like web scraping, automated testing, and page rendering.

O Pytente é uma solução avançada para automatizar o processo de coleta, armazenamento e tratamento de dados bibliográficos de patentes. A ferramenta foi projetada para simplificar a coleta de grandes volumes de dados em repositórios de acesso aberto. O Pytente garante o armazenamento estruturado das informações, além da validação e eliminação de registros duplicados. Dentre as diversas funcionalidades disponibilizadas pela ferramenta, destacam-se a extração personalizada de subconjuntos de dados e a possibilidade de realizar buscas semânticas no conjunto de dados armazenados, sem a necessidade de elaborar expressões lógicas de busca.

A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining

GIN Server is a semantic middleware for easy data integration and automized analysis. The extendable architecture allows to plugin in data sources, analytics and event handling. This RDF Content Provider enables access to Semantic Web Content as an RDF file or SPAEQL endpoint.

Searchkick brings powerful, production-ready search to Rails by mapping Active Record models into Elasticsearch with sensible defaults and easy customization. It supports language analyzers, stemming, synonyms, misspelling tolerance, and highlighting so search results feel natural to end users. Indexing is model-centric: you declare what fields to index, add computed fields, and trigger reindexing via callbacks or background jobs, with options for zero-downtime rolling reindexes. On the query side, a simple API covers relevance tuning, boosting, filtering, faceting/aggregations, and pagination, while still allowing direct access to advanced Elasticsearch features when needed. It integrates with Rails scopes and authorization patterns, making it straightforward to return only records the user can see. By wrapping complex search infrastructure in a clean Ruby interface, Searchkick lets teams deliver fast, relevant search experiences without becoming experts.

SnapLogic is an Open Source Data Integration framework that combines the power of state-of-the-art dynamic programming languages with standard Web interfaces to solve today's most pressing problems in data integration.

An extensive description of this system is published in the Journal of Translational Medicine (http://www.translational-medicine.com/). In brief, the system consists of two main web applications, a data integration app and a data exploration app. The data integration app is a fully custom Java "Web 2.0" product called Sherpa. Sherpa uses Seam, a platform integrating Asynchronous JavaScript and XML (AJAX), JavaServer Faces (JSF), the Java Persistence API (JPA), and Enterprise Java Beans (EJB) 3.0. The data exploration app is an open source business intelligence product called JasperServer (version 3.7), customized through supported configuration changes. Both apps use MySQL for back-end data persistence. Currently, the documentation contained herein is not intended to provide comprehensive instructions on installing and configuring the system. Please contact a project administrator for more information.

Interoperability enabling tools, for exchanging technical data between companies, or for internal data integration, alpha-numeric, 2D or 3D data. Compatible with ISO 15926 and expressed in ontology using RDF/OWL.

Steps for Kettle ( data integration by pentaho) to manage ( import and export ) TinyErp information.

Tracking and reporting system for the processing, monitoring, and enforcement of permits issued by the Oklahoma State Department of Environmental Quality. Features web access, CDX gateway for the EPA, and an automatic document assembly system for Word.

XIForge is a team of IT volunteer to explore new free open source technology framework and platform. We focus Pentaho and OpenBravo ERP. Our current hosted project includes Pentaho Data Integration Parse JSON String plugin. Team founder is Reid Lai.

ZENBU is a data integration, data processing, and visualization web system based around three main web interfaces : an expression data enhanced genome browser interface, a secured user system for data upload and secured data sharing, and a data explorer interface to find and manipulate data across the many supported experimental data types and to find shared user configurations ZENBU is built as a web2.0 client/server application with javascript web clients and c++ server infrastructure.

The Bio2RDF project aims to transforms silos of life science data into a globally distributed network of linked data for biological knowledge discovery. Bio2RDF creates and provides machine understandable descriptions of biological entities using the RDF/RDFS/OWL Semantic Web languages. Using both syntactic and semantic data integration techniques, Bio2RDF seamlessly integrates diverse biological data and enables powerful new SPARQL-based services across its globally distributed knowledge bases.