30 open-source projects similar to segmentio/analytics.js, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Analytics.js alternative.
Jitsu is an open-source customer data platform designed to orchestrate event data pipelines. It captures, transforms, and routes behavioral data from web and server sources into data warehouses and analytics tools, providing a unified infrastructure for managing event streams. The platform distinguishes itself through its focus on self-hosted, containerized operations that grant users full control over their data security and privacy. It features a robust identity resolution engine that stitches disparate user identifiers into persistent profiles across sessions and devices, alongside program
react-ga is a Google Analytics React wrapper and client that provides a programmatic interface for integrating web analytics into React applications. It serves as a tool for recording user interactions, virtual page views, and custom dimensions to measure engagement within web applications. The project features a wrapper-based API that delegates high-level functions to the Google Analytics API. It includes an environment-based logic branching system with a test mode for inspecting analytics calls and verifying data transmission without affecting production servers. The library covers a broad
Rudder Server is a customer data platform and event routing pipeline designed to collect, transform, and route customer event data from various sources to data warehouses and business tools. It functions as a customer identity resolver, linking identifiers from multiple sources to build a unified identity graph and comprehensive behavioral customer profiles. The system differentiates itself through reverse ETL capabilities, which push processed customer segments and audiences from data warehouses back into operational third-party applications. It also provides a containerized data plane for K
Snowplow is a behavioral event data pipeline and customer data infrastructure designed to capture user interactions and transform them into structured events for real-time analysis and long-term storage. It functions as a customer data platform that gathers user signals and enriches them with metadata to create a unified view of customer behavior. The system operates as an event schema validation engine to enforce strict data contracts on incoming streams, preventing data corruption. It further serves as a real-time event router and an event-driven automation platform, triggering proactive bu
rrweb is a DOM session recording library and serialization framework used to record and replay web sessions. It converts the state of a web page into a serializable JSON data structure and tracks mutations to reconstruct user interactions within a replay engine. The system distinguishes itself by using a sandboxed iframe for reconstruction to isolate replayed content, preventing script execution and form submissions. It ensures visual consistency through CSS inline-style flattening and provides sensitive data masking to prevent private information from being captured. The project covers a br
This is a backend-as-a-service SDK that connects web and mobile applications to a suite of cloud services. It provides a unified interface for managing user identity, executing serverless logic, and handling cloud object storage. The toolkit is characterized by its real-time data synchronization, which allows NoSQL document data to stay consistent across multiple clients with built-in offline persistence. It facilitates secure user access through a variety of identity providers and manages serverless function invocation to execute backend logic in response to HTTPS requests or database events
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
Goatcounter is a self-hosted web analytics platform that collects visitor statistics without cookies, personal data, or persistent identifiers. It uses privacy-preserving techniques like anonymous session hashing to count page views and visits, and can be deployed on your own infrastructure using a binary or Docker container with SQLite or PostgreSQL storage. The platform offers multiple data collection methods, including a lightweight JavaScript snippet, an image-based tracking pixel for environments where scripts are blocked, and server log file parsing from nginx, Apache, Caddy, or CloudFr
Goatcounter is a privacy-focused web analytics platform designed to be self-hosted on your own infrastructure. It collects visitor statistics like page views, browser information, location, screen size, and referring sites without using cookies or storing any personal data, identifying unique visits through a non-identifiable hash derived from browser and network data. The platform distinguishes itself by offering multiple tracking methods that respect user privacy, including a lightweight JavaScript snippet, an image-based tracking pixel for environments without JavaScript, and the ability t
OpenPanel is a self-hosted product analytics platform designed for tracking user behavior and visualizing product metrics on private infrastructure. It provides a comprehensive system for collecting events across web, mobile, and server environments while ensuring complete ownership of data. The platform distinguishes itself through a privacy-first approach, utilizing cookieless event tracking and regional data residency to simplify regulatory compliance. It integrates large language models via the Model Context Protocol, enabling users to query behavioral data and analyze trends using natura
This repository serves as a comprehensive collection of reference implementations for the Remix web framework. It provides practical examples of full-stack web development, demonstrating how to build dynamic, server-rendered applications that bridge server-side logic with client-side interactivity. By leveraging a component-based architecture, these examples illustrate core patterns for managing data, routing, and user interfaces within a unified development environment. The collection highlights the framework's distinctive approach to web architecture, emphasizing server-side data loading an
Lilishop is a multi-vendor B2B2C e-commerce platform designed as a marketplace where third-party merchants can manage independent storefronts within a unified ecosystem. It is built on a Spring Cloud microservices architecture and a Spring Boot backend, utilizing Vue and Uniapp to deliver responsive user interfaces across web, mobile, and mini-program platforms. The platform differentiates itself through integrated marketing automation tools, including group buying, bargain campaigns, and a commission-based affiliate distribution network. It also features a comprehensive financial settlement
dlt is a Python data ingestion tool and ETL pipeline framework designed to fetch data from diverse sources and persist it into structured destinations. It functions as a schema inference engine that automatically detects data types and flattens nested JSON structures into relational tables, moving data from sources to lakehouses, warehouses, or vector databases. The project distinguishes itself through AI-powered pipeline generation, using large language models to scaffold extraction code and connectors for REST APIs. It also supports multimodal vector storage and specialized population of ve
The AWS SDK for PHP is a software development kit that provides HTTP client classes for every supported Amazon Web Service, enabling PHP applications to send authenticated requests and receive structured, typed response objects. It includes a credential resolution chain that automatically locates credentials from environment variables, instance profiles, or configuration files, and supports promise-based asynchronous execution for running multiple API calls concurrently to improve throughput. The SDK distinguishes itself through a middleware pipeline architecture that allows interception and
r2 is a JavaScript HTTP client library and asynchronous request library used for executing network calls. It provides a runtime-agnostic network layer that abstracts underlying HTTP implementations to ensure consistent behavior across different JavaScript execution environments. The library functions as a JSON API client, automatically parsing response bodies and formatting outgoing payloads. It utilizes a promise-based interface to manage the lifecycle of HTTP requests and responses. The project covers REST API integration and HTTP header management, allowing users to attach custom key-valu
Moe-Counter is a self-hosted page view tracker that renders visitor counts as dynamically generated SVG badges with anime-themed styling. It operates as a lightweight Node.js HTTP service that associates each unique counter name in a URL with a stored page view count, providing a customizable alternative to third-party analytics services. The service is designed for flexible deployment, running either directly from source with pnpm dependency management or as a pre-built Docker image from GitHub Container Registry. Runtime configuration is handled entirely through environment variables set in
Riemann is a Clojure-based event stream processor and real-time analytics engine. It functions as a network telemetry pipeline and extensible event router that ingests, transforms, and routes event data from distributed systems. The system uses a domain-specific language to compute metrics and statistical patterns over continuous streams, enabling network trend analysis and real-time alerting. It supports dynamic plugin loading from the classpath and allows for live configuration reloading without interrupting active event streams. Capabilities include centralized telemetry aggregation, even
Telebot is a framework for building interactive bots using the Telegram Bot API. It provides a type-safe API wrapper and an asynchronous event handler to manage messages, commands, and user interactions. The project features a middleware-based request interception system and pattern-based event routing to map triggers to custom logic. It includes a dedicated inline query engine for generating real-time suggested results and an interactive keyboard builder for creating custom reply and inline buttons. The framework covers a broad range of capabilities, including rich media management for albu
Telegraf is a Node.js framework and typed API wrapper for building interactive chat agents on the Telegram platform. It provides a structured environment for developing automated agents that interface with the Telegram Bot API to process and respond to user messages. The framework uses a middleware-based request router to process incoming events through a customizable chain of handlers. This architecture allows for dynamic command routing and the use of a context-object pattern to pass updates and API methods through the processing pipeline. The system supports multiple event delivery method
elasticsearch-dump is a command line tool for importing, exporting, and transferring data between Elasticsearch and OpenSearch instances. It functions as an index dump utility that saves documents, mappings, and analyzers to local files or standard output. The tool enables the movement of data between clusters using local files as an intermediary and can flatten nested JSON documents into CSV files for external analysis. It allows for the modification or anonymization of documents during the transfer process through the use of custom JavaScript functions. The utility covers data extraction a
weiboSpider is a Python web scraper and social media crawler designed to extract user profiles, posts, and engagement metrics from Sina Weibo. It functions as an automated data pipeline for academic research and trend analysis, collecting long-form text and multimedia content. The tool distinguishes itself through the use of browser session cookies to authenticate requests and access protected profiles. It implements randomized request pacing and global pauses to manage traffic and avoid platform rate limits, while supporting incremental crawling to capture only new content based on timestamp
This project is a PHP data inspector and variable renderer designed to visualize complex data structures in a human-readable format during development. It functions as a debugging tool that converts internal PHP variables into formatted text for analysis of property values and internal states. The tool provides custom data visualization by transforming raw PHP data into tailored styles. It allows for the routing of dump output to different destinations, including web browsers and command line interfaces. The system handles variable debugging by inspecting object properties and resource state
Dinky is a real-time data platform for developing, deploying, and operating streaming applications based on Apache Flink. It functions as a SQL streaming IDE and a real-time data pipeline orchestrator, providing a web-based environment for writing and verifying queries with integrated logic plan visualization and lineage tracking. The platform acts as a distributed cluster manager, allowing the registration, monitoring, and administration of multiple processing clusters from a centralized interface. It also serves as a change data capture integration tool, synchronizing real-time database cha
Pholcus is a distributed web crawling system designed for large-scale data scraping. It employs a master-worker distribution model to coordinate high-concurrency scraping tasks across a network of remote client nodes, enabling both horizontal and vertical data collection. The system features a hot-loadable rule engine that allows extraction and navigation logic to be updated at runtime without restarting the process. It handles dynamic content through headless browser integration and bypasses bot detection using proxy rotation, automated user authentication, and simulated human behavior. The
Midday is an open-source, self-hosted financial dashboard designed for business expense management and automated bookkeeping. It functions as a centralized platform that aggregates transaction history and account balances from multiple external banking providers, allowing users to maintain full control over their sensitive financial data on private infrastructure. The platform distinguishes itself through its automated reconciliation workflows, which categorize business expenditures and generate structured financial reports to reduce manual data entry. By integrating with financial data aggre
Onyx is an enterprise-grade AI platform designed for knowledge management, search, and autonomous agent orchestration. It functions as a centralized system that aggregates unstructured organizational data, enabling secure, context-aware retrieval and interaction across internal documents and communication history. By integrating retrieval-augmented generation with multi-model orchestration, the platform provides a unified interface for teams to query internal knowledge bases and execute complex, multi-step business processes. The platform distinguishes itself through a focus on private infras
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
DataLoader is a utility that collects individual data loads into a single batch and caches results to minimize redundant backend requests. It operates on a batch-and-cache architecture, where multiple data lookups within a single execution frame are grouped together and dispatched as one request, with the results stored in memory for instant retrieval on subsequent calls. The utility distinguishes itself through several key capabilities. It supports per-key error handling, allowing partial failures within a batch without rejecting the entire operation. A cache priming mechanism lets developer
go-restful is a framework for building RESTful web services in Go. It functions as a toolkit for managing API endpoints, providing a request router that maps incoming HTTP requests to handler functions using path parameters and custom URL patterns. The framework includes a data conversion layer that transforms Go structures into JSON or XML formats for request and response bodies. It also provides a system for organizing related web services into containers to manage endpoint prefixing and shared configuration. The project covers request lifecycle management through middleware filters for va
async-graphql is a type-safe framework for building specification-compliant GraphQL servers in Rust. It uses procedural macros to automatically generate schemas from native language structures, ensuring consistency between the data model and the API specification. The project provides native support for Apollo Federation v2, allowing entities and fields to be shared and resolved across multiple distributed subgraphs. It also implements real-time data streaming via WebSocket subscriptions and asynchronous event streams. The framework includes a wide array of capabilities for schema design, su