Forge Miniv1.1.0Feature Complete

Decision Constraint Eliminator

Compare every option against every hard constraint with explicit missing-field policies and an unknown classification.

v1.1.0Current release
MITSource license
3Supported platform groups
Practical MicrotoolsCatalog category

The problem it solves

Decision Constraint Eliminator [](https://github.com/loganpendragonmultiverse/decision-constraint-eliminator/actions/workflows/ci.yml)

Who Decision Constraint Eliminator is for

  • People who need a small, purpose-built utility instead of a broad platform.
  • Users working with decisions, constraints, elimination who want the documented v1.1.0 behavior.
  • People who prefer an open-source release with visible limitations, source, and license terms.

Intended result

Compare every option against every hard constraint with explicit missing-field policies and an unknown classification.

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

Features in v1.1.0

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

01

[](https://github.com/loganpendragonmultiverse/decision-constraint-eliminator/actions/workflows/ci.yml)

02

Decision Constraint Eliminator removes options that violate explicit hard requirements before preferences are compared. Every eliminated option retains the exact failed constraints, while surviving options remain unranked.

Verified examples

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

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 .
constraint-eliminator examples/decision.json
constraint-eliminator examples/decision.json --format json

Version 1.1 supports equality, inequality, membership, exclusion, numeric minimum and maximum, containment, and field-presence constraints. It emits a complete option-versus-constraint matrix. Set missing_policy to fail (default), ignore, or unknown; the last keeps incomplete options visibly separate instead of eliminating them. Inputs are validated and reports are deterministic.

The tool does not decide which requirements should be hard, score preferences, recommend a winner, or infer missing attributes. A surviving option only satisfies the supplied constraints under the selected missing-field policy. 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 v1.1.0 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

Decision Constraint Eliminator is published under MIT. The current cataloged release is v1.1.0, published 2026-07-27.

Related projects

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

Current public release

Decision Constraint Eliminator v1.1.0

Use the tagged release for downloads and release notes. Use the repository for source, issues, contribution guidance, security reporting, and complete documentation.

Page source: current Forge catalog plus README and CHANGELOG from the canonical local repository. Fingerprint: 87044d271885fc00.