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Delegate anything. It comes back done.

General-purpose AI designed for knowledge workers — creators, strategists, and operators — and individuals seeking AI systems they can truly control to help them get work done, with full flexibility to extend and deploy anywhere (VPC, on-prem, or cloud).

Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events.

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.

📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics

GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.

MCP Toolbox for Databases is an open source MCP server for databases.

Python SQL Parser and Transpiler

Open Source Feature Flags, Experimentation, and Product Analytics

the portable Python dataframe library

Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.

Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days

Privacy and Security focused Segment-alternative, in Golang and React

Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.

ingestr is a CLI tool to copy data between any databases with a single command seamlessly.

👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.

Synmetrix – production-ready open source semantic layer on Cube

Integrates DuckDB with Google BigQuery, allowing direct querying and management of BigQuery datasets

A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface.

The universal metrics layer. Compatible with 15+ formats: Cube, MetricFlow, LookML, Omni, BSL, LDM, Cortex, Malloy, OSI, SML, TML, Hex, Rill, Superset

Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.

A DuckDB extension to read data directly from databases supporting the ODBC interface

Rewrite BigQuery, Redshift, Snowflake and Databricks queries into DuckDB compatible SQL (with deep transformation of functions, data types and format characters) using Java.

🇪🇺 Warehouse-native Analytics compatible with Google Analytics and Matomo tracking protocols. Ingest into ClickHouse, BigQuery or CSV/Parquet on S3/GCS/local fs while maintaining complete control over your data.

Data policy IN, dynamic view OUT: PACE is the Policy As Code Engine. It helps you to programatically create and apply a data policy to a processing platform like Databricks, Snowflake or BigQuery (or plain 'ol Postgres, even!) with definitions imported from Collibra, Datahub, ODD and the like.

Reverse ETL for the code-first data stack

A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.