Open Source Software Library

A community-developed relational database compatible with the MySQL ecosystem.

A compact embedded relational database engine used in applications and devices.

A document-oriented database for flexible application data models and distributed deployments.

A high-performance in-memory key-value data store derived from Redis.

A distributed wide-column database designed for scalability and high availability.

A column-oriented database designed for fast analytical queries at scale.

An embedded analytical SQL database optimized for local data analysis.

A data exploration and business intelligence platform for dashboards and interactive analysis.

A business intelligence application for querying data and creating dashboards without extensive coding.

A visualization and dashboard platform for metrics, logs, traces, and operational data.

A monitoring and alerting system based on time-series metrics and powerful queries.

A horizontally scalable log aggregation system designed to integrate with Grafana.

A distributed search and analytics suite for applications, logs, and observability data.

A distributed search and analytics engine for text, structured data, and logs.

A privacy-respecting web analytics platform that can be self-hosted.

A lightweight privacy-focused website analytics platform.

A simple privacy-focused web analytics application for self-hosted deployments.

A data management platform for publishing and discovering open datasets.

A research data management repository platform for institutions and scientific communities.

A digital repository platform used by universities and institutions to preserve and provide access to scholarly materials.

A web publishing platform for interconnected digital collections and cultural heritage exhibits.

A collections management and presentation platform for museums, archives, and cultural organizations.

A desktop tool for cleaning, transforming, reconciling, and exploring messy data.

A visual data science platform for building analytics and machine-learning workflows.

A visual programming environment for data analysis, machine learning, and teaching.