Skip to main content

The NomNom Hugo Awards voting package

Project description

NomNom

Contributor Covenant Documentation

A Hugo Awards ballot and nomination management system.

Developed for the Glasgow in 2024 Worldcon.

What this Is

The Hugo Awards are "science fiction’s most prestigious award. The Hugo Awards are voted on by members of the World Science Fiction Convention (“Worldcon”), which is also responsible for administering them."

NomNom is a system for collecting the nominations for the award from members of the current Worldcon to assemble a ballot of finalists, and for voting on those finalists #27.

It additionally will have (these are TODO in the next few months):

  • Support for authenticated access to the Hugo packet, if the convention is providing one
  • Support for normalizing the nominees into a collection of potential finalists #86
  • Support for applying a counting algorithm to select a ballot of finalists from the raw nominees, according to the current process defined in Section 3.8 of the WSFS constitution (EPH, for those following along at home)
  • Support for tallying the final votes for the Hugo Awards

Installation

Production

Production installations are more complex than development, but the easiest way is probably with Docker. The template project will have a suitable Dockerfile included in it, which you can use to build the web and worker images. An example production docker-compose can be found in the WorldconVotingSystems/nomnom-g24/ repository.

Development

See the developer docs.

For setting up test data, NomNom includes comprehensive seeding commands that can generate realistic elections, nominations, and votes. Use just bootstrap for a complete development environment, or see the documentation for individual commands.

Build Status

Python application Docker Documentation

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nomnom_hugoawards-2026.4.0rc1.tar.gz (2.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nomnom_hugoawards-2026.4.0rc1-py3-none-any.whl (2.4 MB view details)

Uploaded Python 3

File details

Details for the file nomnom_hugoawards-2026.4.0rc1.tar.gz.

File metadata

  • Download URL: nomnom_hugoawards-2026.4.0rc1.tar.gz
  • Upload date:
  • Size: 2.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for nomnom_hugoawards-2026.4.0rc1.tar.gz
Algorithm Hash digest
SHA256 0549f0bbab98f9b5eab895b132df6916bd6eca677ed0ad9be26b6d48cfecc4ac
MD5 902d418de257d65edaa997676e5db379
BLAKE2b-256 be6ba38502a78514c2d632182869f05fbf6464aadd4818da28d0695187ff65dc

See more details on using hashes here.

Provenance

The following attestation bundles were made for nomnom_hugoawards-2026.4.0rc1.tar.gz:

Publisher: pypi-package.yml on WorldconVotingSystems/nomnom

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nomnom_hugoawards-2026.4.0rc1-py3-none-any.whl.

File metadata

File hashes

Hashes for nomnom_hugoawards-2026.4.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 6b760e89b299499f14b8aa938777e00386b8c6e8b486b0093a5584237004b242
MD5 1d1ea54b3354523d0467092b2815074b
BLAKE2b-256 69e649434903d6ac1e1f9cce79d863f50769b53dc9dca013be3d9a2ee9f17127

See more details on using hashes here.

Provenance

The following attestation bundles were made for nomnom_hugoawards-2026.4.0rc1-py3-none-any.whl:

Publisher: pypi-package.yml on WorldconVotingSystems/nomnom

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page