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Snowplow - Cloud-native web, mobile and event analytics, running on AWS and on-premise with Kafka

    •        200

Snowplow is an enterprise-strength marketing and product analytics platform. It identifies your users, and tracks the way they engage with your website or application. It stores your users' behavioural data in a scalable "event data warehouse" you control: in Amazon S3 and (optionally) Amazon Redshift or Postgres. Lets you leverage the biggest range of tools to analyze that data, including big data tools (e.g. Spark) via EMR or more traditional tools e.g. Looker, Mode, Superset, Re:dash to analyze that behavioural data.

http://snowplowanalytics.com
https://github.com/snowplow/snowplow
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Related Projects

snowplow-javascript-tracker - Snowplow event tracker for client-side JavaScript

  •    Javascript

Add analytics to your websites and web apps with the Snowplow event tracker for JavaScript. With this tracker you can collect user event data (page views, e-commerce transactions etc) from the client-side tier of your websites and web apps.

ARAnalytics - Simplify your iOS/Mac analytics

  •    Objective-C

ARAnalytics is to iOS what Analytical is to ruby, or Analytics.js is to javascript. ARAnalytics is an analytics abstraction library offering a sane API for tracking events and user data. It currently supports on iOS: Mixpanel, Localytics, Flurry, GoogleAnalytics, KISSmetrics, Crittercism, Crashlytics, Fabric, Bugsnag, Countly, Helpshift, Tapstream, NewRelic, Amplitude, HockeyApp, HockeyAppLib, ParseAnalytics, HeapAnalytics, Chartbeat, UMengAnalytics, Librato, Segmentio, Swrve, YandexMobileMetrica, Adjust, AppsFlyer, Branch, Snowplow, Sentry, Intercom, Keen, Adobe and MobileAppTracker/Tune. And for OS X: KISSmetrics, Mixpanel and HockeyApp.

aws-amplify - A declarative JavaScript library for application development using cloud services.

  •    Javascript

AWS Amplify provides a declarative and easy-to-use interface across different categories of cloud operations. AWS Amplify goes well with any JavaScript based frontend workflow, and React Native for mobile developers. Our default implementation works with Amazon Web Services (AWS), but AWS Amplify is designed to be open and pluggable for any custom backend or service.

amplify-js - A declarative JavaScript library for application development using cloud services.

  •    TypeScript

AWS Amplify provides a declarative and easy-to-use interface across different categories of cloud operations. AWS Amplify goes well with any JavaScript based frontend workflow, and React Native for mobile developers. Our default implementation works with Amazon Web Services (AWS), but AWS Amplify is designed to be open and pluggable for any custom backend or service.

Agile_Data_Code_2 - Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

  •    Jupyter

Like my work? I am Principal Consultant at Data Syndrome, a consultancy offering assistance and training with building full-stack analytics products, applications and systems. Find us on the web at datasyndrome.com. There is now a video course using code from chapter 8, Realtime Predictive Analytics with Kafka, PySpark, Spark MLlib and Spark Streaming. Check it out now at datasyndrome.com/video.


GeoMesa - Suite of tools for working with big geo-spatial data in a distributed fashion

  •    Scala

GeoMesa is an open-source, distributed, spatio-temporal database built on a number of distributed cloud data storage systems, including Accumulo, HBase, Cassandra, and Kafka. Leveraging a highly parallelized indexing strategy, GeoMesa aims to provide as much of the spatial querying and data manipulation to Accumulo as PostGIS does to Postgres.

Plausible Analytics - Simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics

  •    Elixir

Plausible Analytics is a simple, lightweight (< 1 KB), open-source and privacy-friendly alternative to Google Analytics. It doesn’t use cookies and is fully compliant with GDPR, CCPA and PECR. You can self-host Plausible or have us run it for you in the Cloud. It is easy to understand and it cuts through the noise. Check your site traffic and get all the essential insights on one page in one minute. There are no layers of menus, there is no need for you to build custom reports, custom dashboards or PowerPoint documents.

PostHog - Product analytics, built for developers

  •    Python

PostHog provides open-source product analytics, built for developers. Automate the collection of every event on your website or app, with no need to send data to 3rd parties. It provides event-based analytics at a user level, capture your product's usage data to see which users are doing what in your application. It automatically capture clicks and pageviews to analyze what your users are doing without pushing events manually.

Umbrella - ☂️ Analytics abstraction layer for Swift

  •    Swift

Analytics abstraction layer for Swift. Inspired by Moya. There are many tools for mobile app analytics such as Firebase, Google Analytics, Fabric Answers, Flurry, Mixpanel, etc. You might use one or more of those in your application. But most of those SDKs have some problems: if you use multiple analytics tools, your code will be messed up. And the SDKs take event name as a string and parameters as a dictionary which is not guaranteed by Swift compiler. It means that if you change the event definition, you should find all related code by your hand. It has an opportunity that cause a human error. Umbrella uses Swift enums and the associated values to solve these problems.

keen-js - Keen.io JavaScript SDKs

  •    Javascript

If you haven’t done so already, login to Keen to create a project. The Project ID and API Keys are available on the Access page of the Project Console. You will need these for the next steps. What is an event? An event is a record of something important happening in the life of your app or service: like a click, a purchase, or a device activation.

Pinot - A realtime distributed OLAP datastore

  •    Java

Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally, so that it can scale to larger data sets and higher query rates as needed.

TDengine - Big data platform designed and optimized for the Internet of Things

  •    C

TDengine is an open-source big data platform designed and optimized for Internet of Things (IoT), Connected Vehicles, and Industrial IoT. Besides the 10x faster time-series database, it provides caching, stream computing, message queuing and other functionalities to reduce the complexity and costs of development and operations.

Memgraph - Build modern, graph-based applications on top of your streaming data in minutes

  •    C++

Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop graph applications.

explorer - Data Explorer by Keen IO - point-and-click interface for analyzing and visualizing event data

  •    Javascript

Check out the demo here. The Keen IO Explorer is an open source point-and-click interface for querying and visualizing your event data. It's maintained by the team at Keen IO. If you haven’t done so already, login to Keen IO to create a project for your app. You'll need a Keen IO account to create a project. The Project ID and API Keys are available on the Project Overview page. You will need these for the next steps.

flare - Unobtrusive event emitter API for Google Universal Analytics event tracking

  •    Javascript

flare.js, a <1KB unobtrusive event emitter API for Google Universal Analytics. With flare you can easily bind event JSON to a data-* attribute, or use flare.emit() to fire flares directly. Flare automatically calls ga('send') and constructs other properties (and arguments order) so you don't communicate with ga() directly. IE8+.Remember to drop in Google Analytics beforehand! See docs for more.

EventQL - The database for large-scale event analytics

  •    C++

EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries. Its features include Automatic partitioning, Columnar storage, Standard SQL support, Scales to petabytes, Timeseries and relational data, Fast range scans and lot more.

Minio - Open source object storage server compatible with Amazon S3 APIs

  •    Go

Minio is an object storage server, It is compatible with Amazon S3 cloud storage service. It is best suited for storing unstructured data such as photos, videos, log files, backups and container / VM images. Size of an object can range from a few KBs to a maximum of 5TB. Minio server is light enough to be bundled with the application stack, similar to NodeJS, Redis and MySQL.

sparta - Real Time Analytics and Data Pipelines based on Spark Streaming

  •    Scala

Spark Real-Time Analytics

ThingsBoard - IoT platform for data collection, processing, visualization, and device management

  •    Java

ThingsBoard is an open-source IoT platform for data collection, processing, visualization, and device management. It enables device connectivity via industry standard IoT protocols - MQTT, CoAP and HTTP and supports both cloud and on-premises deployments. ThingsBoard combines scalability, fault-tolerance and performance so you will never lose your data.

EventHub - An open source event analytics platform

  •    Java

EventHub enables companies to do cross device event tracking. Events are joined by their associated user on EventHub and can be visualized by the built-in dashboard to answer the following common business questions.

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