30 open-source projects similar to charlotte-ruby/impressionist, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Impressionist alternative.
Ahoy is a first-party analytics framework for Ruby on Rails applications. It provides tools for capturing user behaviors and page views, allowing developers to maintain full ownership of their analytics data. The system distinguishes itself through relational data analytics, which links visit identifiers directly to application models for deep business object attribution. It includes a privacy-preserving tracking tool that utilizes IP address masking and cookie-less visitor grouping to anonymize user data. The project covers a broad range of analytics capabilities, including custom event tra
This project is a curated directory of analytics frameworks and software designed to help users discover tools for measuring user behavior, SEO performance, and mobile application metrics. It serves as a comprehensive resource list organized by specific use cases and tracking requirements. The directory includes a categorized index focused on privacy-preserving analytics software that prioritizes data protection. It covers a wide range of domains, including product analytics for tracking user journeys, SEO performance monitoring for organic search visibility, and general web and mobile tracki
react-native-firebase is a modular set of libraries that integrates Firebase cloud services into cross-platform mobile applications. It serves as a native-SDK wrapper, mapping JavaScript method calls to native iOS and Android Firebase SDKs via the React Native bridge to provide a type-safe interface for mobile backend integration. The project enables connectivity to a wide array of cloud services, including user authentication and identity management, NoSQL cloud databases with real-time synchronization, and scalable cloud storage for media files. It also provides tools for sending push notif
ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself
This project is a comprehensive educational repository designed to teach DevOps practices through structured learning paths and hands-on exercises. It focuses on mastering infrastructure management, container orchestration, and system administration by providing a curriculum that covers the full lifecycle of cloud-native environments, from initial provisioning to ongoing maintenance and security. The repository distinguishes itself by offering a practical, task-based approach to complex operational domains. It guides users through the implementation of infrastructure-as-code, the configuratio
Matomo analytics client for Angular applications
Angular companion for the official LogRocket Web SDK: standalone provideLogRocket, DI-friendly service, privacy helpers, and optional user-flow labels.
Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant. Alternative to Google Analytics, MixPanel, Plausible, Umami & Matomo.
ngx-umami is a lightweight, modern library designed to seamlessly integrate Umami Analytics into Angular apps. Built for Angular v16+, it prioritizes simplicity and strong typing while utilizing standalone APIs and functional injection to keep your architecture clean and dependency-free.
New maintainer at: https://github.com/lunarmodules/lualogging
P6Spy is a framework that enables database data to be seamlessly intercepted and logged with no code changes to the application.
Dedicated Piwik PRO library that helps with implementing Piwik PRO Tag Manager and the Piwik PRO tracking client in Angular 8+ applications.
This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and multi-tenant data management. It provides a cookie-less tracking engine that captures visitor interactions using ephemeral request metadata, ensuring comprehensive traffic visibility while maintaining strict privacy standards. The architecture utilizes an event-driven ingestion pipeline and aggregated metric storage to decouple data collection from processing, enabling efficient long-term retrieval and responsive dashboard performance. What distinguishes this platform is its
An analytics library that makes collecting data in an Angular app simple.
Tracking made easy: Don’t fool around with adding tracking and analytics partials to your app and concentrate on the things that matter.
An attempt to tame Rails' default policy to log everything.
Best-of-breed OpenTracing utilities, instrumentations and extensions
Web SDK for Clickstream Analytics on AWS
Segment Analytics for Angular 17+. A continuation of work from ngx-segment-analytics.
Google Analytics library for Angular projects.
A Google Analytics wrapper for command-line, web, and Flutter apps.
Ruby library to perform server-side tracking into the official Google Analytics Measurement Protocol
An extensible Java library for HTTP request and response logging