Data & Analytics software provides systems for collecting, processing, and visualizing information from various sources. These tools solve the problem of interpreting raw metrics by converting database entries and website traffic into readable charts and dashboards. This type of software serves analysts and developers who need to orchestrate data pipelines or monitor user behavior. Self-hosting these apps ensures that sensitive business intelligence and visitor logs remain on private infrastructure. This approach removes reliance on external services for managing SQL queries and event tracking.
This page lists 74 open source tools in the Data & Analytics category. The most popular are Grafana, Apache Superset and Metabase. Most use the AGPL-3.0 or Apache-2.0 license, and 67 offer an official Docker image.
An observability platform for querying, visualizing, and alerting on metrics stored across multiple different data sources.
Connect SQL databases to build interactive charts and dashboards through a no-code interface or raw SQL queries.
A business intelligence platform for data exploration and visualization that allows users to query databases without SQL.
Programmatically author, schedule, and monitor workflows using directed acyclic graphs to orchestrate complex data pipelines.
Generate RSS feeds from various websites and social media platforms that do not provide them natively.
A privacy focused web analytics tool that tracks website traffic and user behavior without compromising visitor anonymity.
Track user behavior and analyze product data through event tracking, session replays, and feature flags.
A web application for performing data manipulation tasks including encoding, encryption, compression, and parsing in a browser.
Visualize neural network, deep learning and machine learning models through a comprehensive graphical interface.
A data visualization and analytics platform for querying data sources and creating interactive dashboards via SQL.
Track website traffic and conversions with a privacy focused tool that avoids cookies and personal data.
Orchestrate data, AI, and infrastructure workflows using a declarative YAML interface and a large plugin ecosystem.
A database client and SQL workspace that uses AI to convert natural language into SQL queries.
A link attribution platform for creating short links, tracking conversions, and managing affiliate programs with analytics.
Collect, process, visualize, and manage data from Internet of Things devices and industrial assets.
A self hosted web analytics platform for tracking website traffic and user behavior with full data ownership.
Moves data from APIs, databases, and files into warehouses, lakes, and AI applications using ELT pipelines.
Analyze web server logs in real time through a terminal interface or a live HTML dashboard.
A no-code platform to extract structured data from websites using AI, recording, and automated crawling tools.
Build searchable knowledge bases from diverse data sources with custom LLM integration and automated AI agents.
An extensible environment for interactive and reproducible computing based on the Jupyter Notebook and Architecture.
A high performance real-time analytics database designed for fast queries and high concurrency data ingestion.
Track website traffic and user behavior with cookieless analytics, session replays, and detailed retention funnels.
A self-hosted session replay and product analytics suite for troubleshooting web application issues and monitoring performance.
Download video and audio content from over 1000 websites with automated RSS feed subscription capabilities.
An open-source cloud data warehouse for large-scale analytics, vector search, and full-text search using Rust.
Generates web feeds for websites that do not provide their own RSS or Atom feeds.
Download videos from YouTube and other platforms by sniffing m3u8 and HLS streams via desktop.
Build and orchestrate data pipelines using a notebook style interface with support for Python, SQL, and R.
A self-hosted data logger that records high precision drive data and charging costs for Tesla vehicles.
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