10 repositorios
Methods for assigning credit to specific user touchpoints in a conversion path.
Distinguishing note: Focuses on credit assignment logic rather than general data storage.
Explore 10 awesome GitHub repositories matching data & databases · Attribution Models. Refine with filters or upvote what's useful.
Umami is a self-hosted, privacy-focused web analytics platform designed to provide full control over infrastructure and user data. It captures website traffic and visitor behavior through anonymous tracking methods that avoid cookies, browser fingerprinting, and the storage of personally identifiable information. The platform distinguishes itself through a comprehensive suite of behavioral analysis tools, including session replays, heatmaps, and cohort-based retention reporting. It features a multi-tenant architecture that allows teams to manage multiple websites within a single, collaborativ
Calculates conversion credit using models like first-click or last-click to determine which interactions drive desired actions.
This project is a comprehensive link management and marketing attribution platform designed for creating, tracking, and analyzing shortened URLs. It functions as a centralized hub for marketing analytics, providing tools to monitor link performance, visualize conversion funnels, and manage affiliate programs through a unified dashboard. The platform distinguishes itself by integrating advanced attribution modeling and partner management directly into the link infrastructure. It supports complex marketing workflows, including automated commission calculations, fraud detection, and payout distr
Configures how credit is assigned to referral partners by choosing between first-click or last-click logic for conversion events.
Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools. The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches
Configures dimensions for grouping and filtering data, including specialized time-based attributes.
This project is a modular e-commerce platform built on Ruby on Rails, designed to serve as a comprehensive engine for managing online retail operations. It provides the foundational infrastructure to handle complex product catalogs, customer order lifecycles, and global payment processing within a unified system. The platform distinguishes itself through a headless, API-first architecture that decouples backend commerce logic from custom frontend storefronts. It supports multi-tenant environments, allowing for the management of multiple independent retail storefronts or marketplaces from a si
The platform provides schema-defined, type-safe fields for store resources to store structured data like product specifications, business logic, or integration details.
PaddleDetection is an object detection framework designed for the end-to-end development, training, and deployment of computer vision models. It provides a comprehensive library of modular neural network architectures and pipelines that support object detection, instance segmentation, and multi-object tracking tasks. The project distinguishes itself through a configuration-driven approach that decouples model components like backbones and heads, allowing for the flexible assembly of custom vision workflows. It incorporates advanced techniques such as anchor-free detection logic, joint detecti
Allows configuration of target attributes and class definitions for custom detection datasets.
Formbricks is an open-source survey and feedback platform designed to help teams capture and analyze user insights through targeted, in-app, and website-based interactions. It functions as a comprehensive customer experience analytics system that allows organizations to maintain full control over their data, user attributes, and survey workflows. The platform distinguishes itself through its event-driven architecture, which enables precise behavioral targeting by triggering surveys based on specific user actions or application events. It supports deep integration with external ecosystems by a
Registers new attribute keys to store specific user data points for feedback personalization.
FactoryBot is a Ruby library for generating complex test objects and their associations, serving as a dynamic alternative to static fixture files. It provides a system for defining reusable data blueprints with default attributes and inheritance to produce consistent test records. The tool distinguishes itself through flexible instantiation strategies, allowing users to control whether objects are persisted to a database, built in memory, or created as stubs. It manages data uniqueness via a sequence generator for incremental values and uses traits to bundle shared attributes into reusable mo
Bundles shared attributes into reusable traits to mix them into objects during instantiation.
CloudEvents is an open specification for describing event data in a common format across cloud platforms and services. It defines a standard structure and set of metadata attributes for events, enabling interoperability across different systems so producers and consumers can exchange events without custom translation. The specification provides a protocol-agnostic serialization framework that maps CloudEvents attributes and payloads to multiple serialization formats including JSON, Avro, and Protobuf, and defines transport bindings for mapping events onto protocols like HTTP, AMQP, Kafka, MQTT
Defines well-known optional attributes for extending event metadata without breaking interoperability.
Viewers is a zero-footprint DICOMweb medical imaging viewer and a modular plugin framework. It serves as a diagnostic interface for rendering 2D and 3D medical images, providing a web-based clinical workflow engine to automate image layouts and toolsets. The project distinguishes itself through a highly extensible architecture that allows for the development of custom clinical workflows, specialized viewing modes, and the integration of external functional extensions. It includes a dedicated command line interface for managing these plugins and supports white-labeling through a comprehensive
Adds non-standard metadata attributes to the matching engine to trigger specific layouts based on business logic.
Libredesk is an omnichannel support management system designed to unify live chat and email communications into a single dashboard. It provides a comprehensive environment for managing customer interactions, agent roles, and team assignments to organize support workloads. The project distinguishes itself through AI customer support automation, which includes generating automated responses and refining message tones. It also supports the development and integration of custom chat widgets using WebSockets and JavaScript APIs. The system covers a broad set of capabilities, including customer re
Supports the creation of specialized data fields for contacts and conversations to track custom information.