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Open Source Observer
Open Source Observer (OSO) is an AI-native data platform that unifies organizational data into a trusted semantic layer. It provides analytics, autonomous data pipelines, dashboards, data enrichment, and ecosystem intelligence for organizations, including companies, foundations, and blockchain ecosystems.
Distributed
6 current maintainers6 active leads3 new active leads3 lead step-downs1 lead movement2 early lead departures
Maintainer signals as of Aug 10, 2026
Open Source Observer
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Description
Open Source Observer provides a comprehensive analytics suite that helps funders measure the impact of open source software contributions on the health of their ecosystem. It offers powerful metrics and event models built on public datasets, enabling users to explore, connect, and integrate data for generating insights and visualizations.Data Platform
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Description
Data Platform is OSO’s production-ready analytics platform, built on Trino, Iceberg, DuckDB, sqlmesh, dbt, and Dagster. It provides fast analytical queries, elastic auto-scaling, interoperability with data lakes, warehouses, databases, storage, and lakehouses, and versioned, tested, exportable data models.Category: Data Terminal
OSO Studio
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Description
OSO Studio brings data storage, compute, inference, AI agents, Marimo notebooks, data ingestion, SQL modeling, scheduling, serving, and a marketplace for public datasets, models, and notebooks into one platform for collaborative data science.Category: Data
OSO AI Agent
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Description
OSO AI Agent is an AI-powered semantic layer and data agent that helps teams analyze business data conversationally. It supports custom evaluation datasets, explains answer provenance through pipeline traces, understands semantic entities, and autonomously executes multi-stage data engineering and analysis plans.Category: AI Agent
Data Marketplace
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Description
OSO Data Marketplace provides scheduled datasets across open-source, blockchain, social, and public-goods funding domains. Available products include versioned project and ecosystem models, developer activity, repository events, blockchain transactions, social engagement, and funding data, delivered through the OSO API.Category: Data Terminal
Data Integrations
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Description
Data Integrations is an OSO product offering categorized connectors for databases, storage, analytics, productivity, and APIs. The rendered section lists PostgreSQL, AWS S3, BigQuery, Google Sheets, GraphQL, and REST, with more integrations planned.Category: Data
Pyoso
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Description
pyoso enables developers to integrate OSO data and analytics into Python workflows. It can be installed with pip, query OSO datasets using SQL, return Pandas DataFrames, provide access to OSO platform mart models and APIs, and run in CPython, Pyodide, Jupyter, and Marimo environments.Category: Developer Tooling
Model Context Protocol
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Description
Model Context Protocol provides tools for agents to perform data engineering and data science workflows, including raw-data ingestion, dbt model transformations, SQL queries against mart models, metric publishing, versioned branches, human review, historical time travel, and real-time collaboration across humans and AI agents. It is designed to work with agents such as Codex, Claude Code, Gemini, and other tool-calling systems.Category: Developer Tooling