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.
 
Its features include: 
<ul>
<li>A column-oriented database with various compression schemes such as Run Length, Fixed Bit Length</li>
<li>Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index</li>
<li>Ability to optimize query/execution plan based on query and segment metadata .</li>
<li>Near real time ingestion from Kafka and batch ingestion from Hadoop</li>
<li>SQL like language that supports selection, aggregation, filtering, group by, order by, distinct queries on fact data.</li>
<li>Support for multivalued fields</li>
<li>Horizontally scalable and fault tolerant</li>
</ul>

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.

Pinot - A realtime distributed OLAP datastore

Countly is an innovative, real-time, open source mobile & web analytics, push notifications and crash reporting platform powering nearly 3000 mobile applications. It collects data from mobile phones, tablets, Apple Watch and other internet-connected devices, and visualizes this information to analyze mobile application usage and end-user behavior. 

Countly -  Web and Mobile Analytics

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more. It supports over 40 programming languages. 
 
Code can produce rich output such as images, videos, LaTeX, and JavaScript. Interactive widgets can be used to manipulate and visualize data in realtime.

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more. It supports over 40 programming languages. 

Jupyter - Web-based notebook environment for interactive computing

Perfume is a JavaScript library for measuring Short and Long Script, First Contentful Paint (FCP), Time to Interactive (TTI), Component First Paint (CFM), annotating them to the DevTools timeline and reporting the results to Google Analytics.When a user navigates to a web page, they're typically looking for visual feedback to reassure them that everything is going to work as expected. Page Speed is a feature, and to deliver it we need to understand the many factors and fundamental limitations that are at play. If we can measure it, we can improve it. 

Perfume.js - Web performance library for measuring all User-centric performance metrics 

Apache Unomi (pronounced "You know me") is a Java Open Source customer data platform, a Java server designed to manage customers, leads and visitors data and help personalize customers experiences while also offering features to respect visitor privacy rules (such as GDPR).
 
Apache Unomi is a REST server that manages user profiles and events related to the profiles. It can be used to integrate personalization and profile management within very different systems such as CMS, CRMs, Issue Trackers, native mobile application. It was designed to be easy to integrate with external systems, promoting profile sharing and re-use in very different applications.
 
Basically the server tracks users using different mechanisms (by default cookies), builds a progressively populated profile and associates events that are performed by a user with his profile. Events may range from a click on a page, to a file being downloaded, a native mobile application button being clicked, or anything that can be sent to the server.
 
As Apache Unomi is built as an OSGi application running inside Apache Karaf, it is extremely extensible and built to be scalable. For example it is possible to plugin new conditions, actions, or any other service that may be needed such as beacon tracking or push notifications. Apache Unomi is also the reference implementation of the upcoming OASIS Customer Data Platform specification to help standardize personalization of online experience while promoting ethical web experience management and increased user privacy controls.

Apache Unomi (pronounced "You know me") is a Java Open Source customer data platform, a Java server designed to manage customers, leads and visitors data and help personalize customers experiences while also offering features to respect visitor privacy rules (such as GDPR). 

Apache Unomi - The Open Source Customer Data Platform

Coolify is an open-source, hassle-free, self-hostable
Heroku & Netlify alternative. You can deploy Static Sites, any Node.js based applications, PHP, Rust applications hassle-free with automatic reverse proxy and SSL certs. You can create your own instance of MongoDB, MySQL, PostgreSQL, CouchDB, RedisDB,  WordPress, Plausible Analytics, NocoDB, MinIO or VSCode Server. 

Coolify - An open-source, hassle-free, self-hostable Heroku & Netlify alternative

SpamTestBuddy is a simple, light-weight, multiple-input spam scoring tool. It is standalone and can be used with simple procmail rules without root access or daemons. It has built-in support for simple DNS checks including DNSBL (DNS-based blocklist) queries, and can scan headers from filters such as SpamProbe, QSF, DSPAM that you already use. It reduces both false positives and false negatives with the benefit of extra spam tests. 

SpamTestBuddy - Spam Scoring Tool

Rutilus is a free, open-source analytics application. It aims to provide a simple to use but customizable way to analyze visitor behavior on websites. With customization, it allows each visitor to be uniquely identified, and their browsing habits learned, giving it powerful features that go beyond popular existing analytics tools.

Rutilus - Analytics for Websites

Kibi extends Kibana 5.5.2 with data intelligence features; the core feature of Kibi is the capability to join and filter data from multiple Elasticsearch indexes and from SQL/NOSQL data sources ("external queries").In addition, Kibi provides UI features and visualizations like dashboard groups, tabs, cross entity relational navigation buttons, an enhanced search results table, analytical aggregators, HTML templates on query results, and much more.

kibi - Kibi is a friendly - kept in sync - Kibana fork which add support for joins across indexes and external sources, tabbed navigation interface and more

PyGDF implements the Python interface to access and manipulate the GPU Dataframe of GPU Open Analytics Initialive (GOAI). We aim to provide a simple interface that similar to the Pandas dataframe and hide the details of GPU programming. Continuum Analytics, H2O.ai, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling developers and statistical researchers to accelerate data science on GPUs. GOAI will foster the development of a data science ecosystem on GPUs by allowing resident applications to interchange data seamlessly and efficiently.

 PyGDF implements the Python interface to access and manipulate the GPU Dataframe of GPU Open Analytics Initialive (GOAI). We aim to provide a simple interface that similar to the Pandas dataframe and hide the details of GPU programming. 

pygdf - GPU Data Frame

With Quilt you can build, push, and install data packages. Data packages are versioned, reusable data structures that can be loaded into Python. Quilt is designed to support reproducible, auditable, and compliant workflows. Quilt consists of three source-level components data catalog, data registry and data compiler.
 
Its features include: 
<ul>
<li>Versioning and storage of large data</li>
<li>Transformation of a variety of file formats into data frames (via pandas and pyarrow)</li>
<li>De-duplication of repeated data for reduced disk and network footprint</li>
</ul>

With Quilt you can build, push, and install data packages. Data packages are versioned, reusable data structures that can be loaded into Python. Quilt is designed to support reproducible, auditable, and compliant workflows. Quilt consists of three source-level components data catalog, data registry and data compiler.

Quilt - Data Engineering Infrastructure

AresDB is a GPU-powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.

AresDB - A GPU-powered real-time analytics storage and query engine

Growth Book is an open source experimentation platform designed for companies that want to bring A/B testing in-house, but don't want to build it themselves. It supports experimentation with deep code integration or using a visual front-end editor. 

GrowthBook - The Open Source A/B Testing Platform

Dev Lake brings all your DevOps data into one practical, personalized, extensible view. Ingest, analyze, and visualize data from an ever-growing list of developer tools, with our free and open source product. Dev Lake is most exciting for leaders and managers looking to make better sense of their development data, though it's useful for any developer looking to bring a more data-driven approach to their own practices. With Dev Lake you can ask your process any question, just connect and query.
 
Dev Lake provides understanding of software development lifecycle, digging workflow bottlenecks, Timely review of team performance, Rapid feedback, Agile adjustment. It helps to quickly build scenario-based data dashboards and drill down to analyze the root cause of problems.
 
<div>What can be accomplished with Dev Lake?</div><div> </div><ol><li>Collect DevOps performance data for the whole process</li><li>Share abstraction layer with similar tools to output standardized performance data</li><li>Built-in 20+ performance metrics and drill-down analysis capability</li><li>Support custom SQL analysis and drag and drop to build scenario-based data views</li><li>Flexible architecture and plug-in design to support fast access to new data sources</li></ol>

Dev Lake brings all your DevOps data into one practical, personalized, extensible view. Ingest, analyze, and visualize data from an ever-growing list of developer tools, with our free and open source product. Dev Lake is most exciting for leaders and managers looking to make better sense of their development data, though it's useful for any developer looking to bring a more data-driven approach to their own practices. With Dev Lake you can ask your process any question, just connect and query.

Dev Lake -  Data lake for Dev

Fusion is an open-source lightweight user behaviour analytics and engagement platform. Its built upon a simplified low-code mixpanel like analytics engine with visual analytics, push-notification and email/micro-surveys. It shows how your users interact with your web based products eg: page-views, button clicks, form submissions etc. 
 
Fusion lets you engage with a specific user or group of user who have something in common or performed a particular action, in real-time with live-chat, in-app push notification, email/micro-surveys or set it up to trigger automatically. 
 
 Unlike of google analytics you choose/customize your graphs on your custom dashboard. As graph type (line, bar, pie, table, count), timescale(minute, hourly, daily, weekly), dashboard name etc.

Fusion is an open-source lightweight user behaviour analytics and engagement platform. Its built upon a simplified low-code mixpanel like analytics engine with visual analytics, push-notification and email/micro-surveys. It shows how your users interact with your web based products eg: page-views, button clicks, form submissions etc.



Fusion -  Full-Stack user behaviour analytics and engagement platform, alternative for Mixpanel, Amplitude, Hotjar, Fullstory

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Pinot - A realtime distributed OLAP datastore

Countly - Web and Mobile Analytics