Search Results for "customizable"

...Built on top of Mapbox GL and deck.gl, kepler.gl can render millions of points representing thousands of trips and perform spatial aggregations on the fly. Kepler.gl is also a React component that uses Redux to manage its state and data flow. It can be embedded into other React-Redux applications and is highly customizable. For information on how to embed kepler.gl in your app take a look at this step-by-step tutorial on vis.academy. Built with Deck.gl, Kepler.gl utilizes WebGL to render large datasets quickly and efficiently. You can easily drag and drop a dataset, add filters, apply scales, and do aggregation on the fly. Built on React & Redux, Kepler.gl can be embedded inside your own mapping applications.

TabuVis is a comprehensive visual analysis tool that provides a flexible, customizable and interactive visualization for tabular (or multidimensional) data. It utilizes scatter-plot visualization approach to provide comprehensive and interactive views for different attribute mappings. It provides single scatter-plot and multiple scatter-plots together with Map (GIS) capability. The project is available at: http://staff.scem.uws.edu.au/~vinh/projects/TabuVis/ Related publications: https://www.sciencedirect.com/science/article/pii/S2468502X20300358 https://dl.acm.org/doi/pdf/10.1145/2968220.2968248 https://link.springer.com/content/pdf/10.1007/s11432-013-4870-1.pdf https://dl.acm.org/doi/pdf/10.1145/2397696.2397705

StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries or...

jAgg is a Java 5.0 API that supports “group by” operations on Lists of Java objects: aggregate operations such as count, sum, max, min, avg, and many more. It supports Super Aggregation: Rollups, Cube, and Grouping Sets. It supports analytic operations such as lag/lead and row number and more. It also allows custom aggregate and analytic operations.

Imagine that your directories and files in a second and without your intervention turns into a complex, fully functional and fully customizable website. Magic? No, DIR2WEB!

JavaMatch is an engine that can search inside a runtime Java data structures, and look for objects that best match the criteria that you specify. The extensive query mechanism allows for highly customizable tuning of your match queries.

MicMac is a software for solving image matching problems, specially those arising in geographic context. It is highly customizable at the algorithmic level and for the data input (image format and geo-localization).