postgresql_anonymizer is an extension to mask or replace personally identifiable information (PII) or commercially sensitive data from a PostgreSQL database.
The project is aiming toward a declarative approach of anonymization. This means we’re trying to extend PostgreSQL Data Definition Language (DDL) in order to specify the anonymization strategy inside the table definition itself.
Hypothetical Indexes for PostgreSQL. HypoPG is a PostgreSQL extension adding support for hypothetical indexes.
An hypothetical -- or virtual -- index is an index that doesn't really exists, and thus doesn't cost CPU, disk or any resource to create. They're useful to know if specific indexes can increase performance for problematic queries, since you can know if PostgreSQL will use these indexes or not without having to spend resources to create them.
Open source UI for Postgres databases.
Mathesar is a straightforward open source tool that provides a spreadsheet-like interface to a PostgreSQL database. Our web-based interface helps you and your collaborators work with data more independently and comfortably – no technical skills needed.
You can use Mathesar to build data models, enter data, and even build reports. You host your own Mathesar installation, which gives you ownership, privacy, and control of your data.
Open source no-code database and Airtable alternative.
Create your own online database without technical experience. Our user friendly no-code tool gives you the powers of a developer without leaving your browser.
A Metadata Platform for the Modern Data Stack . The #1 Open Source Data Catalog.
DataHub's extensible metadata platform enables data discovery, data observability and federated governance that helps tame the complexity of your data ecosystem.
A distributed, reliable key-value store for the most critical data of a distributed system.
etcd is a strongly consistent, distributed key-value store that provides a reliable way to store data that needs to be accessed by a distributed system or cluster of machines. It gracefully handles leader elections during network partitions and can tolerate machine failure, even in the leader node. Learn more.
The Open Source Firebase Alternative.
Supabase is an open source Firebase alternative. Start your project with a Postgres database, Authentication, instant APIs, Edge Functions, Realtime subscriptions, and Storage.
A free, community-sourced, machine-readable knowledge base of digital forensic artifacts that the world can use both as an information source and within other tools.
If you'd like to use the artifacts in your own tools, all you need to be able to do is read YAML. That is it, no other dependencies. The Python code in this project is just used to validate all the artifacts to make sure they follow the specification.
Pipelined Relational Query Language, pronounced "Prequel".
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement. Like SQL, it's readable, explicit and declarative. Unlike SQL, it forms a logical pipeline of transformations, and supports abstractions such as variables and functions. It can be used with any database that uses SQL, since it compiles to SQL.
The SQL Editor and Database Manager Of Your Dreams.
A modern, easy to use, and good looking SQL client for MySQL, Postgres, SQLite, SQL Server, and more.
A distributed vulnerability database for Open Source.
An open, precise, and distributed approach to producing and consuming vulnerability information for open source.
DuckDB is an in-process SQL OLAP database management system.
DuckDB is a high-performance analytical database system. It is designed to be fast, reliable, portable, and easy to use. DuckDB provides a rich SQL dialect, with support far beyond basic SQL
DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs, maps), and several extensions designed to make SQL easier to use.
Graph Database Management System.
Neo4j Graph Data Platform. Blazing-Fast Graph, Petabyte Scale.
With proven trillion+ entity performance, developers, data scientists, and enterprises rely on Neo4j as the top choice for high-performance, scalable analytics, intelligent app development, and advanced AI/ML pipelines.