Displaying 20 to 40 from 431 results

boba.js - Need those links tracked? "As you wish."

  •    Javascript

Boba.js is a small, easily extensible JavaScript library that makes working with Google Analytics easier. It supports the old ga.js library as well as the new analytics.js library. It has one out of the box function, trackLinks, and makes tracking everything else child's play. Requires jQuery.

snappydata - SnappyData - The Spark Database. Stream, Transact, Analyze, Predict in one cluster

  •    Scala

Apache Spark is a general purpose parallel computational engine for analytics at scale. At its core, it has a batch design center and is capable of working with disparate data sources. While this provides rich unified access to data, this can also be quite inefficient and expensive. Analytic processing requires massive data sets to be repeatedly copied and data to be reformatted to suit Spark. In many cases, it ultimately fails to deliver the promise of interactive analytic performance. For instance, each time an aggregation is run on a large Cassandra table, it necessitates streaming the entire table into Spark to do the aggregation. Caching within Spark is immutable and results in stale insight. At SnappyData, we take a very different approach. SnappyData fuses a low latency, highly available in-memory transactional database (GemFireXD) into Spark with shared memory management and optimizations. Data in the highly available in-memory store is laid out using the same columnar format as Spark (Tungsten). All query engine operators are significantly more optimized through better vectorization and code generation. The net effect is, an order of magnitude performance improvement when compared to native Spark caching, and more than two orders of magnitude better Spark performance when working with external data sources.

awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems

  •    

An open source Data Science repository to learn and apply towards solving real world problems. First of all, Data Science is one of the hottest topics on the Computer and Internet farmland nowadays. People have gathered data from applications and systems until today and now is the time to analyze them. The next steps are producing suggestions from the data and creating predictions about the future. Here you can find the biggest question for Data Science and hundreds of answers from experts. Our favorite data scientist is Clare Corthell. She is an expert in data-related systems and a hacker, and has been working on a company as a data scientist. Clare's blog. This website helps you to understand the exact way to study as a professional data scientist.

laravel-analytics - A Laravel package to retrieve pageviews and other data from Google Analytics

  •    PHP

Using this package you can easily retrieve data from Google Analytics. Most methods will return an \Illuminate\Support\Collection object containing the results.




analytics.js - The hassle-free way to integrate analytics into any web application.

  •    Javascript

Analytics.js makes it easy to collect customer data and send it to many different tools using a single, unified API. Analytics.js is open source and is one of the libraries that powers Segment, the managed, hassle-free way to collect customer data in the browser and beyond.

crossfilter - Fast n-dimensional filtering and grouping of records.

  •    Javascript

Crossfilter is a JavaScript library for exploring large multivariate datasets in the browser. Crossfilter supports extremely fast (<30ms) interaction with coordinated views, even with datasets containing a million or more records. Since most interactions only involve a single dimension, and then only small adjustments are made to the filter values, incremental filtering and reducing is significantly faster than starting from scratch. Crossfilter uses sorted indexes (and a few bit-twiddling hacks) to make this possible, dramatically increasing the perfor­mance of live histograms and top-K lists. Crossfilter is available under the Apache License.

vue-analytics - Google Analytics plugin for Vue

  •    Javascript

The plugin isn't just a wrapper of the Google Analytics API, but provides a solution to issues that most of the time you don't want to deal with or you not even know you have to deal with.


react-native-google-analytics-bridge - React Native bridge to the Google Analytics libraries on both iOS and Android

  •    Objective-C

Google Analytics Bridge is built to provide an easy interface to the native Google Analytics libraries on both iOS and Android. The key difference with the native bridge is that you get a lot of the metadata handled automatically by the Google Analytics native library. This will include the device UUID, device model, viewport size, OS version etc.

matomo - Liberating Web Analytics

  •    PHP

Matomo is the leading Free/Libre open analytics platform. Matomo is a full featured PHP MySQL software program that you download and install on your own webserver. At the end of the five minute installation process you will be given a JavaScript code. Simply copy and paste this tag on websites you wish to track and access your analytics reports in real time.

google-analytics-plugin - Cordova (PhoneGap) Plugin to connect to the native Google's Universal Analytics SDK 3

  •    Objective-C

Important Note If the latest versions (0.8.0+) of this plugin are not working for you with Android on Cordova 5.0+, please try the suggestions in Issues 123. Google Play Services has been very confusing to integrate, but in recent months it has been simplified. This plugin uses the new simpler way (including it as a framework instead of bundling it which can conflict with other plugins bundling it), but if you previously installed this plugin some old files might still be lingering. Windows Phone users have to manually add the Google Analytics SDK for Windows 8 and Windows Phone to your solution. To do this, just open your Cordova solution in Visual Studio, and add the GoogleAnalyticsSDK package via NuGet. This plugin requires v1.3.0 or higher.

dashboards - Responsive dashboard templates for Bootstrap πŸ“Šβœ¨

  •    HTML

Building an analytics dashboard? Don’t start from scratch. Grab one of our Bootstrap-based templates and admire your data in minutes. UPDATE: All examples in this repo have been updated to use keen-dataviz.js and keen-analysis.js, as well as CDN versions of all dependencies. When producing charts with keen-dataviz.js, the HTML wrapper for each chart (.chart-wrapper, described below) is rendered automatically.

guess - Libraries & tools for enabling Machine Learning driven user-experiences on the web

  •    TypeScript

Libraries and tools for enabling data-driven user-experiences on the web. Install and configure GuessPlugin - the Guess.js webpack plugin which automates as much of the setup process for you as possible.

sing-app - πŸ’₯Free and open-source admin dashboard template built with Bootstrap 4 πŸ’₯

  •    HTML

Including responsive layout and high quality UI built with Bootstrap 4. This repository contains a limited free version of Sing App. Full bootstrap 4, React with backend, Angular and Angular JS versions are also available and are shipped in a full package.

weld - High-performance runtime for data analytics applications

  •    Rust

Weld is a language and runtime for improving the performance of data-intensive applications. It optimizes across libraries and functions by expressing the core computations in libraries using a common intermediate representation, and optimizing across each framework. Modern analytics applications combine multiple functions from different libraries and frameworks to build complex workflows. Even though individual functions can achieve high performance in isolation, the performance of the combined workflow is often an order of magnitude below hardware limits due to extensive data movement across the functions. Weld’s take on solving this problem is to lazily build up a computation for the entire workflow, and then optimizing and evaluating it only when a result is needed.

LocustDB - Massively parallel, high performance analytics database that will rapidly devour all of your data

  •    Rust

An experimental analytics database aiming to set a new standard for query performance and storage efficiency on commodity hardware. See How to Analyze Billions of Records per Second on a Single Desktop PC and How to Read 100s of Millions of Records per Second from a Single Disk for an overview of current capabilities. When loading .csv or .csv.gz files with --load, the first line of each file is assumed to be a header containing the names for all columns. The type of each column will be derived automatically, but this might break for columns that contain a mixture of numbers/strings/empty entries.

redash - Make Your Company Data Driven

  •    Python

Redash is our take on freeing the data within our company in a way that will better fit our culture and usage patterns. Prior to Redash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.

auto_ml - Automated machine learning for analytics & production

  •    Python

auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on single dictionaries, roughly the process you'd likely follow to deploy the trained model. All of these projects are ready for production. These projects all have prediction time in the 1 millisecond range for a single prediction, and are able to be serialized to disk and loaded into a new environment after training.

dnstwist - Domain name permutation engine for detecting typo squatting, phishing and corporate espionage

  •    Python

See what sort of trouble users can get in trying to type your domain name. Find similar-looking domains that adversaries can use to attack you. Can detect typosquatters, phishing attacks, fraud and corporate espionage. Useful as an additional source of targeted threat intelligence. The idea is quite straightforward: dnstwist takes in your domain name as a seed, generates a list of potential phishing domains and then checks to see if they are registered. Additionally it can test if the mail server from MX record can be used to intercept misdirected corporate e-mails and it can generate fuzzy hashes of the web pages to see if they are live phishing sites.