Search Results for "odbc"
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Showing 7 open source projects for "odbc"
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich... -
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wreport has moved to: https://github.com/ARPA-SIMC/wreport dballe has moved to: https://github.com/ARPA-SIMC/dballe bufr2netcdf has moved to: https://github.com/ARPA-SIMC/bufr2netcdf
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ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Everyday Software for the Researcher of Restricted Means: This project is intended to offer scientists and students with small budgets advanced versions of aqua-built desktop-editing, graphics and statistical applications for MacOSX.
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The Open Source Health Information Platform is a Python implementation of openEHR electronic health record specifications http://www.openehr.org. Project website : http://launchpad.net/oship Analytics are at: http://www.ohloh.net/projects/oship
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The Flamenco search and browse interface framework uses hierarchical faceted metadata to allow users to both refine and expand queries, while maintaining a consistent representation of a collection and seamlessly integrating keyword queries.
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