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unified-planning

Unified Planning Framework

With conditionsPyPI Artificial IntelligenceReleased Dec 2025124.9K downloads / moAPACHEPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — unified_planning-1.3.0-py3-none-any.whl
v1.3.0 · released 2025-12-17 · Python >=3.8 · 3 runtime deps: pyparsing, networkx, ConfigSpace

Yes, if you need to formulate and solve automated planning problems in Python. The low install friction, permissive Apache license, and support for standard planning representations make it suitable for research and prototyping. The aging maintenance status is a minor concern—verify that external planner backends you need are still supported before committing to production use.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.8 or later; external automated planners may need separate installation depending on intended use.
  • Low install friction with a pure-Python wheel distribution.
  • Maintenance status is aging at 240 days since last release, though the package remains active.

License · maintenance · safety

APACHE (permissive) — Licensed under Apache (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most production and research contexts.

last release 2025-12-17 (240 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 124,885 downloads/mo, #11,848 on PyPI

Verify before relying

pip install unified-planning

from unified_planning.shortcuts import Problem, Fluent, InstantaneousAction

problem = Problem("my_planning_problem")
# Define fluents, actions, and goals to formulate a planning problem
  • Whether the package actively maintains compatibility with planner backends or if external planner installation is required
  • Current state of documentation and community support given aging maintenance signal
  • Specific capabilities and limitations of STRIPS and RDDL support in this version
Same gist for agents: .md · .json

What it is and what it does

Unified Planning is a framework for expressing automated planning problems in Python using standard representations like STRIPS and RDDL. It abstracts away the complexity of problem formulation, allowing developers and researchers to define planning domains, actions, fluents, and goals in a high-level Python API, then invoke automated planners to solve them.

The library depends on pyparsing for parsing, networkx for graph operations, and ConfigSpace for configuration handling. It targets researchers and developers working on AI planning, constraint satisfaction, and automated reasoning. The package is in Alpha development status and supports Python 3.8, 3.9, 3.10, and 3.11.

Use it for

  • Formulate and test STRIPS-based planning problems without writing domain-specific planner syntax
  • Prototype automated planning solutions for robotics, scheduling, or resource allocation tasks
  • Integrate RDDL probabilistic planning domains into Python applications
  • Conduct research on planning algorithms by providing a unified problem representation interface

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need to formulate and solve automated planning problems in Python.

The low install friction, permissive Apache license, and support for standard planning representations make it suitable for research and prototyping. The aging maintenance status is a minor concern—verify that external planner backends you need are still supported before committing to production use.

Install

unified-planning on PyPI

Before you install

Low install friction with a pure-Python wheel distribution. Maintenance status is aging at 240 days since last release, though the package remains active.

Requires Python 3.8 or later; external automated planners may need separate installation depending on intended use.

License in practice

Licensed under Apache (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most production and research contexts.

Quickstart

pip install unified-planning

from unified_planning.shortcuts import Problem, Fluent, InstantaneousAction

problem = Problem("my_planning_problem")
# Define fluents, actions, and goals to formulate a planning problem

Verify before relying

  • Whether the package actively maintains compatibility with planner backends or if external planner installation is required
  • Current state of documentation and community support given aging maintenance signal
  • Specific capabilities and limitations of STRIPS and RDDL support in this version

Package facts

LicenseAPACHE permissive
Python supportSupports the current Python release >=3.8
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
pyparsingnetworkxConfigSpace
MaintenanceAging 240 days since the last release
First released
Downloads124,885 / month, #11,848 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 3 - AlphaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial Intelligence

Evidence: unified_planning-1.3.0-py3-none-any.whl

Tags

Capabilities
automated planning librarySTRIPS planningRDDL planningplanning problem formulationplanner invocation frameworkAI planninglogic-based planning
Topics
planningconstraint-solvingai-research
PyPI keywords
planninglogicSTRIPSRDDL

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See also bddl · pyperplan · python-motion-planning · mplib · PuLP · npmai-agents · swiglpk · qpsolvers · coal-library · optlang

Further reading