Census of Decentralized Autonomous Organizations Across Platforms (2025)

This dataset provides a comprehensive, multi-platform overview of Decentralized Autonomous Organizations (DAOs) as of October 2025, covering DAO deployments, proposals, and voting activity across 6 major platforms: Aragon, DAOHaus, DAOstack, Realms, Snapshot and Tally. It is designed to support research in blockchain governance, decentralized finance, and community-driven decision-making.

The dataset is structured into three CSV files:

1. deployments.csv – Contains metadata for each DAO deployment, including a unique identifier (deployment_id), platform name (platform), DAO name (name), number of proposals (proposals_count), number of distinct voters (unique_voters), total votes cast (votes_count), and estimated voting power (estimated_vp).

2. proposals.csv – Contains detailed information on proposals submitted to each DAO, including a unique proposal ID (proposal_id), associated DAO deployment (deployment_id), creation date (date), number of votes received (votes_count), total voting power used (total_vp), and the platform (platform).

3. votes.csv – Contains individual vote records, including a unique vote ID (vote_id), associated proposal (proposal_id), corresponding DAO deployment (deployment_id), voter address (voter), timestamp of the vote (date), voting power used (weight), and platform (platform).

Data collection for this release was completed in October 2025. The full data acquisition and processing pipeline typically requires approximately two to three weeks, involving the retrieval, validation, and integration of governance data from each platform’s public APIs and subgraphs.

This dataset is suitable for empirical research on DAO governance dynamics, voting behavior, and multi-platform analysis. Researchers can use this dataset to analyze trends in proposal creation, voter participation, and governance outcomes in decentralized communities.

The code for collecting and formatting the data is in the github repository linked. The instructions of use, requirements, the data loading and some example analyses are in the MSR submission folder of the github repository.

Acknowledgements

We would like to acknowledge the use of tools and support provided by DAO Analyzer dataset, GraphiQL, Tally API Reference, and AI-Powered RPC Infrastructure for dApps & Chains | dRPC for data extraction. These resources were indispensable for the successful completion of this project.