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101 packages found
Lightweight analytics library for tracking events, page views, & identifying users. Works with any third party analytics provider via an extendable plugin system.
- analytics
- analytics-project
- metrics
- telemetry
- tracking
- event tracking
- page tracking
- user tracking
- custom events
- stats
- statistics
- monitoring
- pageviews
"Dataherd-Raika is a library designed to simulate large-scale user behavior datasets. It takes a single user event (like a click or keyword input) and, by applying simple probability distributions and custom variables, expands it into a vast dataset."
- front-end
- web
- bigdata
- data
- simulation
- user-behavior
- analytics
- data-science
- javascript
- typescript
- npm-package
- data-generation
- machine-learning
- user-experience
See sales, activity and actions at a glance.
- medusa-plugin
- medusa-plugin-dashboard
- medusa-plugin-analytics
- statistics
- dashboard
- ecommerce
- headless
- medusa
Get stats on your Node.js HTTP server requests
See sales, activity and actions at a glance.
- medusa-plugin
- medusa-plugin-dashboard
- medusa-plugin-analytics
- statistics
- dashboard
- ecommerce
- headless
- medusa
Get stats on your Node.js HTTP server requests
Calculate n-th percentile
Receives up-to-date cryptocurrency rates without delays
Engineering statistics and data analysis
Calculate median of data
Calculate media absolute deviation (MAD)
<div align="center"> <img src="logo.svg" height="160" width="160" alt="Analyzer logo"> </div>
- projectwallace
- wallace
- css
- stylesheet
- stats
- statistics
- analytics
- performance
- styleguide
- metrics
- designsystem
- fonts
- colors
- quality
Calculate n-th percentile
A node.js module implementing histogram-like counters over a sliding window, providing basic statistics calculations.
Show statistics for Koishi application
A cookieless identifier for user tracking by exploting etags.
Get analytics data about your store
Allows a dev to keep track of their websites analytics and statistics
Calculate mean of data
Sort colors in a visually pleasing way.