Skip to content


Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?


This repository contains scripts and documentation related to analyzing classification data from Zooniverse projects. Most content is tailored to Panoptes-based Project Builder projects, but there is also some legacy Ouroboros-based code.

Where do I go to get started?

You have a few choices when getting started analyzing Zooniverse data.

  • Try the Panoptes Aggregation Code (external): Try out the Panoptes Aggregation Code, a software package designed to take project data exports and produced aggregated results.
  • Try Data-digging's general python scripts: The scripts_GeneralPython directory contains multiple Python scripts and Jupyter notebooks to get you started. See the README in that directory for more details.
  • Adapt Existing Scripts: The Data-digging repo contains many examples of data reduction scripts from multiple projects. Depending on your project type and details, find a similar project and edit their existing scripts to fit your specific use case. Check out scripts in the scripts_ProjectExamples directory, or browse the library of External Links for analysis scripts that are hosted in external locations and repos.

Contents File with links to external code.

docs: Column descriptions for Panoptes export CSV files.

notebooks_ProcessExports: This directory holds Jupyter notebooks for performing basic parsing of data export CSVs.

scripts_GeneralPython: This directory holds top-level example scripts that are generally applicable to any project. These scripts convert a classification data export CSV into more useful formats and data products. In most cases, these scripts extract information from the compact JSON-formatted “annotations” column data into an easier flat CSV file.

scripts_ProjectExamples: This directory holds project-specific subdirectories, each with scripts and data files.

scripts_Utility: This directory holds Python scripts for one-off tasks.

other_code: This directory holds other contributed code.


Scripts and such for data management, analysis, visualization, etc.







No releases published


No packages published