Efficient Data Collection and Analysis for Blockchain Organizations

An Overview of DAO-Analyzer’s Cache Scripts: Efficient Data Collection and Analysis for Blockchain Organizations

DAO-Analyzer’s cache-scripts provide an efficient and flexible way to collect and analyze data for blockchain organizations. Whether you’re interested in tracking activity and participation in platforms like Aragon, Daohaus, or Daostack, or specific networks such as Mainnet, Arbitrum, xDai, or Polygon, these cache scripts have got you covered.

Set-up & Running

The set-up process for DAO-Analyzer’s cache-scripts is straightforward. By using pip to install the application, you can quickly get started. With the command pip install dao-scripts, the necessary dependencies will be installed, and you can access the scripts using daoa-cache-scripts or dao-scripts.

If you prefer downloading the repository directly, you can clone it with the command git clone https://github.com/Grasia/dao-scripts and navigate to the repository’s root directory using cd dao-scripts. Once in the directory, install the Python dependencies by running pip3 install -r requirements.txt.

Usage guide

The usage guide for DAO-Analyzer’s cache-scripts provides a range of options to tailor data collection to your specific needs. The full --help output offers details on available flags and selectors, such as platforms, networks, collectors, and block datetime.

To obtain data from a specific platform, you can use the --platforms flag followed by the desired platform names. For example, daoa-cache-scripts --platforms daostack aragon will download data for Daostack and Aragon platforms.

Similarly, if you want to collect data from a particular network, you can use the --networks flag followed by the desired network names. For instance, daoa-cache-scripts --networks xdai will collect data only for the xDai network.

Acknowledgements and Citation

DAO-Analyzer is an ambitious project that was developed under the umbrella of two research projects. These projects include Chain Community, funded by the Spanish Ministry of Science and Innovation, and P2P Models, funded by the European Research Council.

If you’re using DAO-Analyzer or would like to cite it in academic work, you can refer to the provided publication citation: “DAO-Analyzer: Exploring Activity and Participation in Blockchain Organizations” by Javier Arroyo, David Davó, Elena Martínez-Vicente, Youssef Faqir-Rhazoui, and Samer Hassan. Additionally, you can cite the application itself using the following information: Arroyo, Javier, Davó, David, Faqir-Rhazoui, Youssef, & Martínez Vicente, Elena. (2023). DAO Analyzer. Zenodo. https://doi.org/10.5281/zenodo.7669689.

DAO-Analyzer’s cache-scripts offer an efficient way to collect and analyze data for blockchain organizations. With its user-friendly set-up process, customizable usage options, and active research support, it’s a valuable tool for gaining insights into blockchain activity and participation.

Feel free to ask any questions or share your experiences with DAO-Analyzer’s cache-scripts in the comments section below!

References:
– DAO-Analyzer: https://github.com/Grasia/dao-scripts
– Chain Community: [Link to the research project]
– P2P Models: [Link to the research project]
– Original publication: [Link to the publication]