Search Results for "histogram"

...Package convolution provides the functionality to create and apply a kernel to an image. Package effect provides the functionality to manipulate images to achieve various looks. Package histogram provides basic histogram types and functions to analyze RGBA images. Package paint provides functions to edit a group of pixels on an image. Package parallel provides helper functions for the dispatching of parallel jobs.

Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package. Spyder’s multi-language Editor integrates a number of powerful tools...

Fortio (Φορτίο) started as, and is, Istio’s load testing tool and later (2018) graduated to be its own open-source project. Fortio runs at a specified query per second (qps) and records an histogram of execution time and calculates percentiles (e.g. p99 ie the response time such as 99% of the requests take less than that number (in seconds, SI unit)). It can run for a set duration, for a fixed number of calls, or until interrupted (at a constant target QPS, or max speed/load per connection/thread). Fortio is a fast, small (4Mb docker image, minimal dependencies), reusable, embeddable go library as well as a command line tool and server process, the server includes a simple web UI and REST API to trigger run and see graphical representation of the results (both a single latency graph and a multiple results comparative min, max, avg, qps and percentiles graphs).

Export Django monitoring metrics for Prometheus.io. This library provides Prometheus metrics for Django-related operations. Prometheus uses Histogram based grouping for monitoring latencies. You can define custom buckets for latency, adding more buckets decreases performance but increases accuracy. SQLite, MySQL, and PostgreSQL databases can be monitored. Just replace the ENGINE property of your database, replacing django.db.backends with django_prometheus.db.backends. You may want to monitor the creation/deletion/update rate for your model. ...

...Default vert/frag shaders for 2D shader and 3D material shaders with PBR lighting model. Hot reload of files on changes. One default light and one default camera. Interactive commands thought POSIX console IN/OUT or OSC. Different debug modes (histogram, textures, buffers, bounding box, etc). Shadow maps. Headless rendering. Fullscreen and screensaver mode. HoloPlay rendering on LookingGlass Display. Image export. PNG sequence export. WASM crosscompiling. Automatically generated set of defines based on the platform, buffer, render pass, geometry attributes and materials properties. ...

...It uses excellent fast HTTP instead of Go's default net/http due to its lightning-fast performance. Plow runs at specified connections (option -c) concurrently and real-time records summary statistics, histogram of execution time and calculates percentiles to display on Web UI and terminal. It can run for a set duration( option -d), for a fixed number of requests(option -n), or until Ctrl-C is interrupted. The implementation of real-time computing Histograms and Quantiles using stream-based algorithms inspired by Prometheus with low memory and CPU bounds. so it's almost no additional performance overhead for benchmarking.

...The main goal of this tool is to prepare data for plotting with jplot. So here we give a stream of real-time requests to jaggr standard input and request the aggregation of the code and latency fields. For the code, we request a histogram with some known error codes with an "other" bucket defined by *. The latency field is aggregated using minimum, maximum, and mean. In addition, @count adds an extra field indicating the total number of lines aggregated. The = sign can be used on any field to rename it, here we use it to say that the count is an rps as we are using the default aggregation time of 1 second.

A Manageable, Measurable and Traceable Node.js Application Manager represented by Alibaba powered by TypeScript. As a consequence of years of experience on enterprise Node.js applications management, Midway team from Alibaba open-sourced Pandora.js finally. It is an application manager that integrates many capabilities like monitoring, debugging, and resiliency. You are more than welcome to use it, as well as build your operation infrastructure upon it. Provides a mechanism to mock...

...For practitioners working on data-heavy projects, dashboards, or research code where plotting is frequent, it helps speed up development by reducing context-switching and documentation navigation overhead. It is especially useful when you know roughly what you want (e.g. “I need a scatter + histogram marginal plot”) but don’t remember the exact Matplotlib call.

Glimpse is a .NET 4.6 plotting library for WPF projects. It currently contains five classes: a scatter plot, a line graph, an histogram, a raster plot to display matrix data and a tree plot to visualize recursive XML data. Main attributes can be customized through the respective constructors, additional changes are available through public properties. To use the packaged classes just reference the library in your project, instantiate a new plot and add it to a display container of your choice.

UPDATE March 14, 2018 Repository and tracking officially moved to github. https://github.com/opticks-org/opticks Sourceforge mailing lists are still in use. Opticks is an open source remote sensing application and development framework.

Visal Project is an open source project that aims to create as many essential .NET custom controls as possible including Chart control, custom list control and more.

FunCViz is a profiling tool generating function call graph, performance statics data,like function call time cost histogram,which may help you identify the bottleneck of the program's performance.

This project provides advanced functions to process data and create histograms.

A histogram library for Java that accepts large datasets with any distribution or range with a very small memory footprint, needs no pre- or post-processing, and provides several statistical functions.