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Statsd - Simple daemon for easy stats aggregation
A network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).
stats statistics aggregator data-aggregatorturf - A modular geospatial engine written in JavaScript
Turf is a JavaScript library for spatial analysis. It includes traditional spatial operations, helper functions for creating GeoJSON data, and data classification and statistics tools. Turf can be added to your website as a client-side plugin, or you can run Turf server-side with Node.js (see below).Download the minified file, and include it in a script tag. This will expose a global variable named turf.
algorithm computational-geometry geojson turf gis geo geojs geospatial geography geometry map contour centroid tin extent grid polygon line point area analysis statistics stats midpoint plane quantile jenks samplegit-stats - :four_leaf_clover: Local git statistics including GitHub-like contributions calendars.
Local git statistics including GitHub-like contributions calendars.
contributions-calendar gitstats calendar statistics git stats github clitracker - Laravel Stats Tracker
Storing user tracking information, on indexed and normalized database tables, wastes less disk space and ease the extract of valuable information about your application and business.
user-tracker stats laravel tracking visitor logging mobile-detectionopencensus-go - A stats collection and distributed tracing framework
OpenCensus Go is a Go implementation of OpenCensus, a toolkit for collecting application performance and behavior monitoring data. Currently it consists of three major components: tags, stats, and tracing. The API of this project is still evolving, see: Deprecation Policy. The use of vendoring or a dependency management tool is recommended.
stats trace monitoring cloud opencensus distributed-tracing prometheus jaegertracing zipkinvprof - Visual profiler for Python
vprof is a Python package providing rich and interactive visualizations for various Python program characteristics such as running time and memory usage. It supports Python 2.7, Python 3.4+ and distributed under BSD license. The project is in active development and some of its features might not work as expected.
visualization profiler developer-tools d3 cpu-flame-graph statsstats - macOS system monitor in your menu bar
You can download the latest version here. This will download a file called Stats.dmg. Open it and move the app to the application folder. Stats currently supported on macOS 10.14 (Mojave) and higher.
cpu monitor battery disk gpu network temperature stats sensors fansstatsite - C implementation of statsd
Statsite is a metrics aggregation server. Statsite is based heavily on Etsy's StatsD https://github.com/etsy/statsd, and is wire compatible. Statsite is designed to be both highly performant, and very flexible. To achieve this, it implements the stats collection and aggregation in pure C, using an event loop to be extremely fast. This allows it to handle hundreds of connections, and millions of metrics. After each flush interval expires, statsite performs a fork/exec to start a new stream handler invoking a specified application. Statsite then streams the aggregated metrics over stdin to the application, which is free to handle the metrics as it sees fit.
statsd stats statsite aggregated-metricsgit-quick-stats - ▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository
git quick-stats is a simple and efficient way to access various statistics in git repository. Any git repository contains tons of information about commits, contributors, and files. Extracting this information is not always trivial, mostly because of a gadzillion options to a gadzillion git commands – I don’t think there is a single person alive who knows them all. Probably not even Linus Torvalds himself :).
bash git statistics reviewer history stats shell-script git-addons statistical-analysis shell suggestion contributors changelog commits detailed gitlog agile meeting git-pathspec reviewstatsviz - :rocket: Instant live visualization of your Go application runtime statistics (GC, MemStats, etc
Instant live visualization of your Go application runtime statistics (GC, MemStats, etc.). Statsviz serves 2 HTTP handlers.
visualization monitoring plots runtime metrics live garbage-collector statsopentelemetry-js - OpenTelemetry JavaScript Client
This is the JavaScript version of OpenTelemetry, a framework for collecting traces and metrics from applications. The current version for each package can be found in the respective package.json file for that module. For additional details see the versioning and stability document in the specification.
api monitoring metrics telemetry distributed-tracing opentelemetry nodejs profiling statshisto - beautiful charts in the terminal for static or streaming data
Plot charts in the terminal with arbitrary streaming or non-streaming data.histo(1) simply reads from stdin, so it works well with streaming or non-streaming data, from any data source. This repo includes some example files in ./examples, as well as some example shell scripts for streaming input.
histogram chart graph plot stats statisticstime-grunt - Display the elapsed execution time of grunt tasks
The watch task and tasks that take less than 1% of the total time are hidden to reduce clutter.Run grunt with grunt --verbose to see all tasks.
grunt tasks measure time profile stat stats perf performanceinsight - Node
Currently, Insight should be used with GA set up as web tracking due to use of URLs. Future plans include refactoring to work with GA set up for app-based tracking and the Measurement Protocol.For debugging, Insight can track OS version, Node.js version, and version of the app that implements Insight. Please set up custom dimensions per below screenshot. This is a temporary solution until Insight is refactored into app-based tracking.
package stats google analytics track metrics yandex metricamixpanel-node - A node.js API for mixpanel
This library provides many of the features in the official JavaScript mixpanel library. It is easy to use, and fully async. It is intended to be used on the server (it is not a client module). The in-browser client library is available at https://github.com/mixpanel/mixpanel-js. mixpanel-node is a server-side library, optimized for stateless shared usage; e.g., in a web application, the same mixpanel instance is used across requests for all users. Rather than setting a distinct_id through identify() calls like Mixpanel client-side libraries (where a single Mixpanel instance is tied to a single user), this library requires you to pass the distinct_id with every tracking call. See https://github.com/mixpanel/mixpanel-node/issues/13.
mixpanel nodejs analytics api statsgo-runtime-metrics - Collect Golang Runtime Metrics, outputting to a stats handler
This library has a few optional flags it depends on. It won't be able to output stats until you call flag.Parse(), which is generally done in your func main() {}.
runtime runtime-metrics stats statsdtalisman - A straightforward & modular NLP, machine learning & fuzzy matching library for JavaScript
The library's full documentation can be found here. Be sure to lint & pass the unit tests before submitting your pull request.
natural-language-processing machine-learning fuzzy-matching clustering record-linkage bayes bloom-filter canberra caverphone chebyshev cologne cosine classifier daitch-mokotoff dice fingerprint fuzzy hamming k-means jaccard jaro lancaster levenshtein lig metaphone mra ngrams nlp nysiis perceptron phonetic porter punkt schinke sorensen soundex stats tfidf tokenizer tversky vectorizer winkleranalytics-node - The hassle-free way to integrate analytics into any node application.
A Node.js client for Segment — The hassle-free way to integrate analytics into any application. Documentation is available at https://segment.com/libraries/node.
analytics stats segment.io segmentio segment client driveropencensus-java - A stats collection and distributed tracing framework
OpenCensus is a toolkit for collecting application performance and behavior data. It currently includes 3 apis: stats, tracing and tags. The library is in Beta stage and APIs are expected to be mostly stable. The library is expected to move to GA stage after v1.0.0 major release.
trace cloud stats monitoring opencensus tracing distributed-tracing dapper metrics prometheus zipkin stackdriver signalfx
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