Highcharts
Highcharts, a Javascript-based charting library, makes it easy to add interactive charts and graphs to web or mobile projects of any size.
Highcharts is used by more than 80% of the 100 biggest companies in the world, as well as thousands of developers from a variety of industries, including finance, publishing, application development, and data science.
Highcharts is in active development since 2009. It remains a favorite among developers due to its robust feature set and ease-of-use documentation, accessibility features and vibrant community.
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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Danomics
Danomics is an innovative cloud-based platform tailored for subsurface interpretation, aiming to enhance the capabilities of geologists and engineers in analyzing geological formations. It provides sophisticated tools for mapping and characterizing reservoirs, alongside scalable cloud-supported log analysis and robust decline curve and type curve evaluations. The platform facilitates the importation of various data types like well headers, logs, tops, core data, and shapefiles in commonly used formats, enabling the creation of structure and isopach maps that adhere to geological principles while streamlining the process of identifying tops with assisted correlation. Furthermore, users can efficiently expand their interpretations across thousands of wells, personalize their analyses with spatial interpolation tools, and develop 3D models and visualizations of reservoir properties for enhanced understanding of production factors. Among its numerous features are workflows based on mineral inversion, automated data conditioning, machine learning-driven washout repair, and lithofacies and shear log modeling, all designed to optimize the analysis process. Overall, Danomics represents a significant advancement in subsurface interpretation technology, providing essential tools for modern geological exploration.
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VISAGE Finite-Element Geomechanics
The Petrel E&P software suite features a user-friendly graphical interface known as Petrel Reservoir Geomechanics, which facilitates transparent data exchanges and supports the configuration and visualization of results from the VISAGE simulator. This integration allows users to leverage the robust capabilities of the VISAGE simulator alongside various interpretation, modeling, and engineering processes within the Petrel framework. By utilizing the workflows enabled by the Petrel platform, users can incorporate diverse data types to generate new 3D geomechanics property and stress models, or enhance existing subsurface reservoir models with geomechanics data. Such cohesive integration within the Petrel system guarantees that the geomechanics model remains aligned and harmonized with geophysics, geology, petrophysics, and reservoir information. Furthermore, this holistic approach promotes improved decision-making and more accurate predictions in reservoir management.
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