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.

A Signal Acquisition, Visualization & Analysis software application: * Signals, as in analog sensor data * Acquisition, as in data sampling/capturing/recording * Visualization, as in plotting raw/processed data * Analysis, as in live/post data processing Capabilities: The software has build in support for National Instruments Daq equipment (NI-DAQ) or it can load external source scripts (python), for customizable data sources. Supports data exporting/importing to multiple file formats (H5, CSV, Matlab, txt) Raw and analyzed data can be visualized and inspected in real-time or via playback. Most traditional signal processing methods are available, such as trending (Mean, Peak, Min/Max, RMS, Variance, Kurtosis, Skew, MAD) and frequency domain analysis (FFT, FRF, Order Spectrum). ...

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...

Patlac--Xml2cpp is a totally customizable code generator that generates classes (c++ for now) automatically from a xsd schema. Classes are described in google-ctemplate files and a xml options file allow precise definition of projects.

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.

MetricKnn is an open source library to address the problem of similarity search, i.e., to efficiently locate objects that are close to each other according to some distance function. MetricKnn is comprised of: * Command Line, which is able to perform similarity searches through console commands. Available for Windows and Linux. * C API, which provides the implementation of different indexes, distances and search methods. * C++ API, which is a thin C++ wrapper of the C...

...It uses shell scripts to drop/add Postgresql database tables/views with data loaded from sql and csv files. This process allows users to apply changes then re-build the system. It is essentially a customizable database regression system. The base schema and data module represent a plant database intended for educational and scientific usage.

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).