Forge Miniv1.0.0Feature Complete

Gaming Backlog Randomizer

Choose reproducibly from a gaming backlog while honoring explicit filters and exclusions.

v1.0.0Current release

MITSource license

3Supported platform groups

Gaming UtilitiesCatalog category

The problem it solves

Gaming Backlog Randomizer With Rules [](https://github.com/loganpendragonmultiverse/gaming-backlog-randomizer/actions/workflows/ci.yml)

Who Gaming Backlog Randomizer is for

Players who want practical, local tools for libraries, saves, settings, or planning.
Users working with gaming, backlog, randomizer who want the documented v1.0.0 behavior.
People who prefer an open-source release with visible limitations, source, and license terms.

Intended result

Choose reproducibly from a gaming backlog while honoring explicit filters and exclusions.

This summary is reconciled from the current catalog and repository documentation.

Features in v1.0.0

Capabilities below come from the current project README and release documentation.

[](https://github.com/loganpendragonmultiverse/gaming-backlog-randomizer/actions/workflows/ci.yml)

Gaming Backlog Randomizer chooses from a supplied backlog only after applying explicit platform, genre, mood, length, ownership, recent-play, and ID exclusions. Weighted selection is reproducible from a seed, and every rejected game keeps its reasons.

Verified examples

Screenshots are shown only when the current README references a local source image. Otherwise, repository example files are linked directly.

examples/backlog.jsonVerified example included in the current source repository.

Platforms and implementation

The public release claims only the cataloged platforms and technologies.

Supported platforms

Windows
macOS
Linux

Built with

Python

Quick start

The shortest documented path into the current release.

python -m pip install .
backlog-randomizer examples/backlog.json --seed weekend-26
backlog-randomizer examples/backlog.json --seed weekend-26 --count 2 --format json

Games can carry multiple genres and moods plus a positive selection weight. Rules are optional and conjunctive: a game must satisfy every supplied hard rule before it enters the weighted draw.

The tool does not query storefronts, recommend purchases, infer mood, or guarantee enjoyment. Estimated hours and metadata are supplied by the user. A seed reproduces a draw only for identical input and rules. Requires Python 3.10 or newer.

Part of the Logan Pendragon Forge open-source collection. Licensed under the [MIT License](LICENSE).

Current limitations

These boundaries are part of the product and prevent the page from implying unverified capability.

The current v1.0.0 release is bounded by the behavior documented in its README and changelog. It does not claim unsupported platforms, automatic interpretation, or results beyond the evidence it produces.

Privacy and licensing

Review the actual data boundary before using a tool with sensitive inputs.

Privacy and safety

No privacy behavior beyond the current repository documentation is claimed. Review the source, security policy, and input/output behavior before using sensitive material.

License and release

Gaming Backlog Randomizer is published under MIT. The current cataloged release is v1.0.0, published 2026-07-27.

Release and downloads Read the license

Related projects

Related projects are selected deterministically from shared catalog tags, category, and implementation technologies—not popularity or paid placement.

Current public release