Search Results for "qt data visualization"
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Showing 9 open source projects for "qt data visualization"
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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. -
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UniBas is a relational database application that tries to address recurring common problems in all database applications, such as displaying actual and consistent data, maintaining consistency in the underlying DB, etc.
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FastVersion
FastVersion is a Qgis plugin for data versioning in a Postgis database
FastVersion is a Qgis plugin for data versioning in a Postgis database. This plugin provides data versioning to tables with geometry stored in postgis. It allows to create, changes and eliminate versions, and within each version , to insert, modify and eliminate elements. It is possible carry out the processes of “post” from one version to another, with conflict resolution functionality. The system uses algorithms and data structures so that information is not duplicated each time a... -
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meBiblio
meBiblio is a bibliography tool
meBiblio was specially developed as a small and accessible Python-based bibliography tool. meBiblio can organize your reference library, allows easy search in your references and permits immediate retrieval and examination of digitally stored literature items. It connects to online catalogs as PUBMED to retrieve data. -
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DataFinder is a data management client developed in Python that primarily targets the management of scientific technical data. The system is able to handle large amounts of data and can be easily integrated in existing working environments.
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FLAG was designed to simplify the process of log file analysis and forensic investigations. FLAG facilitates efficient analysis of large quantities of data within an interactive environment. PyFlag is the reimplementation of FLAG in Python.
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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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