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12 repository-uri

Awesome GitHub RepositoriesAnalytics APIs

Interfaces for programmatic management and retrieval of website analytics data.

Distinguishing note: Focuses on API-driven management rather than UI-based reporting.

Explore 12 awesome GitHub repositories matching data & databases · Analytics APIs. Refine with filters or upvote what's useful.

Awesome Analytics APIs GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • umami-software/umamiAvatar umami-software

    umami-software/umami

    37,285Vezi pe GitHub↗

    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

    Provides a standard interface to retrieve performance metrics for integration with external applications.

    TypeScriptanalyticsaudience-segmentationcharts
    Vezi pe GitHub↗37,285
  • plausible/analyticsAvatar plausible

    plausible/analytics

    24,245Vezi pe GitHub↗

    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

    Provides an interface for programmatic management of analytics data, events, and site configurations.

    Elixiranalyticschartsclickhouse
    Vezi pe GitHub↗24,245
  • dubinc/dubAvatar dubinc

    dubinc/dub

    23,722Vezi pe GitHub↗

    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

    Provides programmatic interfaces to aggregate click data across an entire workspace in a single call.

    TypeScriptclickhousemysqlnextjs
    Vezi pe GitHub↗23,722
  • aws/aws-cdkAvatar aws

    aws/aws-cdk

    12,817Vezi pe GitHub↗

    The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It

    Processes data using Apache Spark applications via a notebook interface without requiring manual compute management.

    TypeScriptawscloud-infrastructurehacktoberfest
    Vezi pe GitHub↗12,817
  • perspective-dev/perspectiveAvatar perspective-dev

    perspective-dev/perspective

    10,981Vezi pe GitHub↗

    Perspective is a columnar data analytics engine and high-performance visualization component powered by WebAssembly. It provides a system for analyzing and visualizing large or streaming datasets through interactive data grids and charts, utilizing a compiled binary to achieve near-native performance within the browser. The project distinguishes itself through a WebSocket-based data streaming interface and deep Apache Arrow integration, which minimize memory overhead when synchronizing tables between servers and clients. It acts as a remote query proxy capable of translating visualization con

    Provides specialized widgets within Jupyter notebooks to explore and visualize dataframes and Arrow data interactively.

    C++analyticsbidata-visualization
    Vezi pe GitHub↗10,981
  • finos/perspectiveAvatar finos

    finos/perspective

    10,967Vezi pe GitHub↗

    Perspective is a columnar data analytics library and streaming data visualization engine. It provides an interactive data grid component and notebook analytics widgets designed for processing high-volume data and rendering interactive charts and grids. The system utilizes a high-performance query engine to enable real-time data analysis and streaming dataset visualization. It supports the creation of customizable dashboards and reports that update automatically as new data arrives without requiring full dataset reloads. The project covers large-scale dataset analytics through a schema-driven

    Offers dedicated interactive widgets for performing data analysis and reporting within notebook environments.

    C++
    Vezi pe GitHub↗10,967
  • growthbook/growthbookAvatar growthbook

    growthbook/growthbook

    7,351Vezi pe GitHub↗

    GrowthBook is a feature flagging and experimentation platform that utilizes a warehouse-native approach to data analysis. It serves as a system for managing feature rollouts and conducting A/B tests by executing SQL queries directly against existing data warehouses to calculate experiment results. The platform is distinguished by its integration of a Model Context Protocol server, which allows AI coding assistants and IDEs to manage flags and query analytics using natural language. It also provides specialized capabilities for AI model optimization, enabling the testing of prompts and models

    Exposes programmatic interfaces for retrieving explorations and analytics results for use by AI agents.

    TypeScriptab-testingabtestabtesting
    Vezi pe GitHub↗7,351
  • guess-js/guessAvatar guess-js

    guess-js/guess

    7,117Vezi pe GitHub↗

    Guess is a predictive page loading library that uses machine learning to prefetch JavaScript bundles and assets. It functions as a resource prefetcher that predicts the next page a user will visit by utilizing a web application route parser and a user behavior analytics integrator. The project distinguishes itself by importing navigation patterns from analytics APIs to inform its predictive models. It uses probabilistic navigation modeling and historical transition data to calculate the likelihood of future page visits, allowing for the proactive download of lazy-loaded bundles. The system i

    Imports structured transition reports from external APIs to train and update navigation predictions.

    TypeScript
    Vezi pe GitHub↗7,117
  • cyb3rward0g/threathunter-playbookAvatar Cyb3rWard0g

    Cyb3rWard0g/ThreatHunter-Playbook

    4,594Vezi pe GitHub↗

    ThreatHunter-Playbook este un framework structurat pentru gestionarea playbook-urilor de threat hunting, a fluxurilor de lucru de inginerie a detecției și a modelării tradecraft-ului adversarului. Oferă un sistem pentru organizarea tiparelor comportamentale și a regulilor de detecție în grupuri tactice pentru a dezvolta ipoteze de monitorizare a securității. Proiectul dispune de un mediu de notebook de securitate interactiv care combină analizele și interogările de validare pentru a testa ipotezele de amenințare împotriva seturilor de date de telemetrie. Include un instrument de mapare pentru organizarea acestor tipare bazat pe framework-ul de securitate MITRE ATT&CK. Framework-ul acoperă întregul ciclu de viață al vânătorii de amenințări, inclusiv ciclurile formalizate de planificare și raportare. Permite dezvoltarea ingineriei de detecție prin potrivirea log-urilor de sistem și a datelor de evenimente așteptate cu telemetria reală a mediului pentru a valida ipotezele de securitate.

    Implements an interactive notebook environment for executing analytics queries to test security hypotheses.

    Python
    Vezi pe GitHub↗4,594
  • electerious/ackeeAvatar electerious

    electerious/Ackee

    4,619Vezi pe GitHub↗

    Ackee is a self-hosted web analytics platform designed for tracking website traffic and visitor behavior. It functions as a privacy-first visitor tracker that allows for the collection of engagement metrics without relying on third-party cloud providers. The platform ensures data ownership through a self-hosted deployment model. It includes an analytics data API that provides a queryable interface for fetching detailed visitor data to create custom reports and external visualizations. The system covers web traffic analysis and privacy-focused user tracking. It supports the generation of tail

    Offers a programmatic API for the retrieval and management of detailed website visitor analytics.

    JavaScriptanalyticsgoogle-analyticsprivacy
    Vezi pe GitHub↗4,619
  • ankane/ahoyAvatar ankane

    ankane/ahoy

    4,464Vezi pe GitHub↗

    Ahoy este un framework de analiză first-party pentru aplicațiile Ruby on Rails. Acesta oferă instrumente pentru capturarea comportamentelor utilizatorilor și a vizualizărilor de pagini, permițând dezvoltatorilor să mențină proprietatea deplină asupra datelor lor de analiză. Sistemul se distinge prin analiza datelor relaționale, care leagă identificatorii de vizită direct de modelele aplicației pentru o atribuire profundă a obiectelor de business. Include un instrument de urmărire care protejează confidențialitatea, care utilizează mascarea adresei IP și gruparea vizitatorilor fără cookie-uri pentru a anonimiza datele utilizatorilor. Proiectul acoperă o gamă largă de capabilități de analiză, inclusiv urmărirea evenimentelor personalizate, rezoluția locației geografice prin geocodarea IP și analiza funnel-ului utilizatorilor. Gestionează datele prin persistența în baze de date relaționale și utilizează rollup-uri pre-agregate pentru a menține performanța interogărilor pe seturi mari de date. Caracteristicile suplimentare de infrastructură includ rutarea asincronă a mesajelor, filtrarea traficului la nivel de middleware pentru a exclude boții și un API dedicat pentru colectarea datelor de la clienți mobili sau externi.

    Receives visit and event data from mobile apps or external clients through dedicated network endpoints.

    Ruby
    Vezi pe GitHub↗4,464
  • gam-team/gamAvatar GAM-team

    GAM-team/GAM

    4,206Vezi pe GitHub↗

    GAM is a command-line tool for administering Google Workspace and Cloud Identity. It translates command-line arguments into structured API calls, enabling administrators to manage users, groups, organizational units, and domain settings across a Google Workspace environment. The tool handles authentication through OAuth2 flows, service accounts, and workload identity federation, and supports multi-tenant configurations for managing multiple domains or cloud projects from a single installation. GAM distinguishes itself through its batch processing and automation capabilities. It can process la

    Provides programmatic retrieval of active and deleted analytics accounts via API.

    Pythongamgooglegoogle-admin-sdk
    Vezi pe GitHub↗4,206
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Explorează sub-etichetele

  • Model Population RoutinesProcesses for using analytics API data to train and update predictive models. **Distinct from Analytics APIs:** Distinct from general API management; focuses on using the data to populate and update navigation models.
  • Notebook AnalyticsExecutes data processing tasks via interactive notebook interfaces. **Distinct from Analytics APIs:** Distinct from Analytics APIs: focuses on interactive notebook-based execution rather than programmatic API access.