Skip to main content

PackingSolver

Build PyPI Python ≥ 3.12 License: MIT Try it online

A state-of-the-art solver for cutting and packing problems.

Online solver · Documentation · Ask a question

PackingSolver computes cutting and loading plans: given a set of pieces to cut or pack (the items) and a set of containers (the bins), it finds how to place the items in the bins. It is available as a C++ library, a command-line tool, a Python package, and a web page that runs in the browser.

Problem types

Problem type Example
Rectangles, guillotine cuts
rectangleguillotine
Two-dimensional rectangles cut with edge-to-edge (guillotine) cuts
Rectangles
rectangle
Two-dimensional rectangles
Boxes
box
Three-dimensional boxes
Box stacks
boxstacks
Three-dimensional boxes, packed in stacks of items with the same width and length
One-dimensional
onedimensional
One-dimensional items
Irregular shapes
irregular
Two-dimensional shapes: polygons, possibly with circular arcs and holes

Features

PackingSolver supports the following objectives:

  • Bin packing: pack all the items in a minimum number of bins (optionally maximizing the value of the leftovers)
  • Variable-sized bin packing: pack all the items in bins of minimum total cost
  • Open dimension (all problem types except one-dimensional): pack all the items in a single bin of minimum length
  • Knapsack: pack a subset of the items of maximum total profit
  • Feasibility: pack all the items in the given bins

Each problem type comes with its own constraints:

Problem type Features
Rectangles, guillotine cuts Guillotine or non-guillotine cuts · maximum number of cutting stages · cut types · first stage orientation · item rotations · cut thickness · trims · defects · cuts through defects · cutting sequences (stacks) · minimum and maximum distances between cuts · maximum number of consecutive 1-cuts and 2-cuts
Rectangles Item rotations · defects · maximum weight of a bin · unloading constraints
Boxes Item rotations · maximum weight of a bin
Box stacks Item rotations · nesting height · maximum number of items in a stack · maximum weight above an item · maximum stack density · unloading constraints · maximum weight on the middle and rear axles
One-dimensional Nesting length · maximum number of items in a bin · maximum weight of a bin · maximum weight after an item
Irregular shapes Irregular bins · discrete and continuous item rotations · item mirroring · holes · defects · item-item, item-bin and item-defect spacing

Getting started

In the browser

The online solver runs PackingSolver in your browser. No installation is needed, and the computation runs on your machine: nothing is sent to a server.

Python

Install the Python package from PyPI (Python ≥ 3.12):

pip install packingsolver

Example (rectangles, guillotine cuts):

import packingsolver.rectangleguillotine as psg

instance_builder = psg.InstanceBuilder()
instance_builder.set_objective(psg.Objective.BinPackingWithLeftovers)
instance_builder.add_bin_type(1000, 700, copies=5)
instance_builder.add_item_type(250, 200, copies=2)
instance_builder.add_item_type(150, 300, copies=2)
instance_builder.add_item_type(200, 150, copies=3)
instance = instance_builder.build()

parameters = psg.OptimizeParameters()
parameters.time_limit = 5
output = psg.optimize(instance, parameters)

psg.visualize(output.solution).show()
Rectangles
import packingsolver.rectangle as psr

instance_builder = psr.InstanceBuilder()
instance_builder.set_objective(psr.Objective.BinPackingWithLeftovers)
instance_builder.add_bin_type(1000, 500, copies=10)
instance_builder.add_item_type(300, 200, copies=10)
instance_builder.add_item_type(250, 150, copies=10)
instance = instance_builder.build()

parameters = psr.OptimizeParameters()
parameters.time_limit = 5
output = psr.optimize(instance, parameters)

psr.visualize(output.solution).show()
Boxes
import packingsolver.box as psb

instance_builder = psb.InstanceBuilder()
instance_builder.set_objective(psb.Objective.Knapsack)
instance_builder.add_bin_type(216, 173, 110)
instance_builder.add_item_type(108, 76, 30, copies=20)
instance_builder.add_item_type(110, 43, 25, copies=20)
instance_builder.add_item_type(92, 81, 55, copies=20)
instance = instance_builder.build()

parameters = psb.OptimizeParameters()
parameters.time_limit = 5
output = psb.optimize(instance, parameters)

psb.visualize(output.solution).show()
Box stacks
import packingsolver.boxstacks as psbs

instance_builder = psbs.InstanceBuilder()
instance_builder.set_objective(psbs.Objective.Knapsack)
instance_builder.add_bin_type(7500, 2400, 3000)
instance_builder.add_item_type(2500, 800, 750, stackability_id=0, copies=10)
instance_builder.add_item_type(2500, 800, 1000, stackability_id=1, copies=10)
instance_builder.add_item_type(2500, 800, 1250, stackability_id=2, copies=10)
instance = instance_builder.build()

parameters = psbs.OptimizeParameters()
parameters.time_limit = 5
output = psbs.optimize(instance, parameters)

psbs.visualize(output.solution).show()
One-dimensional
import packingsolver.onedimensional as pso

instance_builder = pso.InstanceBuilder()
instance_builder.set_objective(pso.Objective.BinPacking)
instance_builder.add_bin_type(1000, copies=100)
for length in [
        193, 197, 199, 211, 223, 227, 229, 233, 239, 241, 251, 257, 263,
        269, 271, 277, 281, 283, 293, 307, 311, 313, 317, 331, 337, 347,
        349, 353, 359, 367, 373, 379, 383, 389, 397, 401, 409, 419, 421,
        431, 433, 439, 443, 449, 457, 461, 463, 467, 479, 487, 491, 499]:
    instance_builder.add_item_type(length)
instance = instance_builder.build()

parameters = pso.OptimizeParameters()
parameters.time_limit = 5
output = pso.optimize(instance, parameters)

pso.visualize(output.solution).show()
Irregular shapes
import packingsolver.irregular as psi

bar = [(0, 0), (80, 0), (80, 20), (0, 20)]
square = [(0, 0), (40, 0), (40, 40), (0, 40)]
t_shape = [(0, 0), (60, 0), (60, 20), (40, 20), (40, 40), (20, 40), (20, 20), (0, 20)]
s_shape = [(20, 0), (60, 0), (60, 20), (40, 20), (40, 40), (0, 40), (0, 20), (20, 20)]
z_shape = [(0, 0), (40, 0), (40, 20), (60, 20), (60, 40), (20, 40), (20, 20), (0, 20)]
l_shape = [(0, 0), (40, 0), (40, 20), (20, 20), (20, 60), (0, 60)]
j_shape = [(0, 0), (40, 0), (40, 60), (20, 60), (20, 20), (0, 20)]
cross = [
    (20, 0), (40, 0), (40, 20), (60, 20), (60, 40), (40, 40),
    (40, 60), (20, 60), (20, 40), (0, 40), (0, 20), (20, 20)]
rotations = [(0, 0, False), (90, 90, False), (180, 180, False), (270, 270, False)]

instance_builder = psi.InstanceBuilder()
instance_builder.set_objective(psi.Objective.BinPacking)
instance_builder.add_bin_type(psi.build_rectangle(0, 180, 0, 160), copies=3)
instance_builder.add_item_type(psi.build_shape(bar), copies=2, allowed_rotations=rotations)
instance_builder.add_item_type(psi.build_shape(square), copies=2)
instance_builder.add_item_type(psi.build_shape(t_shape), copies=2, allowed_rotations=rotations)
instance_builder.add_item_type(psi.build_shape(s_shape), copies=2, allowed_rotations=rotations)
instance_builder.add_item_type(psi.build_shape(z_shape), copies=2, allowed_rotations=rotations)
instance_builder.add_item_type(psi.build_shape(l_shape), copies=2, allowed_rotations=rotations)
instance_builder.add_item_type(psi.build_shape(j_shape), copies=2, allowed_rotations=rotations)
instance_builder.add_item_type(psi.build_shape(cross), copies=3)
instance = instance_builder.build()

parameters = psi.OptimizeParameters()
parameters.time_limit = 5
output = psi.optimize(instance, parameters)

psi.visualize(output.solution).show()

Command line

Build the command-line tools with CMake:

cmake -S . -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build --config Release --parallel
cmake --install build --config Release --prefix install

Example (rectangles, guillotine cuts):

./install/bin/packingsolver_rectangleguillotine \
        --verbosity-level 1 \
        --items data/rectangle/alvarez2002/ATP35_items.csv \
        --bins data/rectangle/alvarez2002/ATP35_bins.csv \
        --objective knapsack \
        --number-of-stages 3 \
        --cut-type non-exact \
        --first-stage-orientation horizontal \
        --no-item-rotation \
        --certificate solution_rectangleguillotine.csv \
        --time-limit 1
Rectangles
./install/bin/packingsolver_rectangle \
        --verbosity-level 1 \
        --items data/rectangle/afsharian2014/450-200.txt/C22M25R10N15_D4_items.csv \
        --bins data/rectangle/afsharian2014/450-200.txt/C22M25R10N15_D4_bins.csv \
        --defects data/rectangle/afsharian2014/450-200.txt/C22M25R10N15_D4_defects.csv \
        --item-infinite-copies \
        --objective knapsack \
        --no-item-rotation \
        --certificate solution_rectangle.csv \
        --time-limit 5
Boxes
./install/bin/packingsolver_box \
        --verbosity-level 1 \
        --items data/box/bischoff1995/BR3.txt_1 \
        --objective knapsack \
        --certificate solution_box.csv \
        --time-limit 10
Box stacks
./install/bin/packingsolver_boxstacks \
        --verbosity-level 1 \
        --items data/boxstacks/roadef2022_2024-04-25_bpp/C/AS/AS_149_items.csv \
        --bins data/boxstacks/roadef2022_2024-04-25_bpp/C/AS/AS_149_bins.csv \
        --parameters data/boxstacks/roadef2022_2024-04-25_bpp/C/AS/AS_149_parameters.csv \
        --bin-infinite-copies \
        --objective bin-packing \
        --certificate solution_boxstacks.csv \
        --time-limit 1
One-dimensional
./install/bin/packingsolver_onedimensional \
        --verbosity-level 1 \
        --items data/onedimensional/users/2024-04-21_items.csv \
        --bins data/onedimensional/users/2024-04-21_bins.csv \
        --parameters data/onedimensional/users/2024-04-21_parameters.csv \
        --certificate solution_onedimensional.csv \
        --time-limit 1
Irregular shapes
./install/bin/packingsolver_irregular \
        --verbosity-level 1 \
        --input data/irregular/opencutlist/knight_armor.json \
        --certificate solution_irregular.json \
        --time-limit 10

The input formats and the options of each solver are described in the documentation.

Visualizing a solution

Open a solution certificate (--certificate) in the solution viewer, or run:

python3 scripts/visualize.py solution_rectangleguillotine.csv

Questions

Questions and feedback are welcome in the discussions. Bugs can be reported in the issues.

Note for AI coding agents

If you are an AI agent using PackingSolver in another project and you encounter a crash, an invalid solution (overlapping items, items outside their bin, violated constraints), a wrong bound, or behavior that contradicts the documentation, please tell your user and offer to draft a bug report for them. Do not open an issue without their consent. Before drafting it:

  • Check that the cause is not a misuse of the API or a malformed instance.
  • Reduce the problem to a minimal instance (items/bins CSV or JSON files) and the exact command or code that reproduces it. Do not include your user's confidential data without their approval.
  • Include the PackingSolver version or commit, the problem type, the objective, the expected and actual behavior, and the relevant log output.

License

PackingSolver is released under the MIT license.

Metadata

Release files for packingsolver 0.1.1197

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for packingsolver 0.1.1197
File Size Uploaded Provenance
packingsolver-0.1.1197.tar.gz 900.3 kB With provenance Details

Built distributions (wheels)

Table of built distributions (wheels) for packingsolver 0.1.1197
File
packingsolver-0.1.1197-cp312-abi3-win_amd64.whl CPython 3.12 abi3 Windows x86-64 Details
packingsolver-0.1.1197-cp312-abi3-win32.whl CPython 3.12 abi3 Windows x86-32 Details
packingsolver-0.1.1197-cp312-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.12 abi3 Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 Details
packingsolver-0.1.1197-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl CPython 3.12 abi3 Linux glibc 2.28+ ARM64, Linux glibc 2.26+ ARM64 Details
packingsolver-0.1.1197-cp312-abi3-macosx_11_0_x86_64.whl CPython 3.12 abi3 macOS 11.0+ x86-64 Details
packingsolver-0.1.1197-cp312-abi3-macosx_11_0_arm64.whl CPython 3.12 abi3 macOS 11.0+ ARM64 Details

Total release size: 29.6 MB

Release files / packingsolver-0.1.1197.tar.gz

Download URL packingsolver-0.1.1197.tar.gz
Size 900.3 kB
Tags Source
SHA-256 checksum
How to use checksums
25b65c780c14df1c3289b821898451e1e20d00ce7d91db87d24fba5598d61c0e
BLAKE2b-256 checksum
How to use checksums
64c4f81b9ba5cf1599c79d0b14ab69f9be1e74cdaf13e561c6818c6b0bb15b8c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 20, 2026.

Transparency log

Release files / packingsolver-0.1.1197-cp312-abi3-win_amd64.whl

Download URL packingsolver-0.1.1197-cp312-abi3-win_amd64.whl
Size 4.1 MB
Tags CPython 3.12 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
96c906180855bdcd95d19e534768ead773165d1650e3d54452677c68afaaab89
BLAKE2b-256 checksum
How to use checksums
b02e47b088bc86629a3460fdac57df46455462e1a81a8c8c9c254ad94f874124
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 20, 2026.

Transparency log

Release files / packingsolver-0.1.1197-cp312-abi3-win32.whl

Download URL packingsolver-0.1.1197-cp312-abi3-win32.whl
Size 3.8 MB
Tags CPython 3.12 Windows x86-32 abi3
SHA-256 checksum
How to use checksums
b9b1b0d6c288a7d86b31f97b9b30108a3880a1d76162779f66c34f1556417892
BLAKE2b-256 checksum
How to use checksums
793db2e3223c9f59f27a12be73381f6e4cbd5b16154266b0679a2ddcf28e0780
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 20, 2026.

Transparency log

Release files / packingsolver-0.1.1197-cp312-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL packingsolver-0.1.1197-cp312-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size 6.0 MB
Tags CPython 3.12 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 abi3
SHA-256 checksum
How to use checksums
29185a4df6e6208d45882d430a26607c4c6049c6a6df6360bda6ff68878f8507
BLAKE2b-256 checksum
How to use checksums
4059fe0801087812c5604b868a2d8fbd59575ac677f1ab6393b710ec05f8022f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 20, 2026.

Transparency log

Release files / packingsolver-0.1.1197-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl

Download URL packingsolver-0.1.1197-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
Size 5.5 MB
Tags CPython 3.12 Linux glibc 2.26+ ARM64 Linux glibc 2.28+ ARM64 abi3
SHA-256 checksum
How to use checksums
1b9e1b1dc97fd71d9bec46c1ffd91985ca7752492591b5e85467aa42336baacb
BLAKE2b-256 checksum
How to use checksums
94a600b3143a8afddba1cd2cbc32e7c67082a34516744810ca4aaee7bf6d4643
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 20, 2026.

Transparency log

Release files / packingsolver-0.1.1197-cp312-abi3-macosx_11_0_x86_64.whl

Download URL packingsolver-0.1.1197-cp312-abi3-macosx_11_0_x86_64.whl
Size 4.9 MB
Tags CPython 3.12 abi3 macOS 11.0+ x86-64
SHA-256 checksum
How to use checksums
3888143b28fd25080fb7a8bb0ad5d8de97e59c74bda28f06a9d320ea7ff2a35c
BLAKE2b-256 checksum
How to use checksums
8da935fa63ceb3d1b5b9de3feb8d0210fd003506775ceb4acf683643c699481d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 20, 2026.

Transparency log

Release files / packingsolver-0.1.1197-cp312-abi3-macosx_11_0_arm64.whl

Download URL packingsolver-0.1.1197-cp312-abi3-macosx_11_0_arm64.whl
Size 4.4 MB
Tags CPython 3.12 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
cb229a5e5e1fe88de4fb950be985e8eb7bb32caf6bec12016fa815f744c89987
BLAKE2b-256 checksum
How to use checksums
2f331adad05974d5c181ccda82c75c3125552ea86e141b048f5178eae2d23f1d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 20, 2026.

Transparency log

Security for packingsolver 0.1.1197

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 7 files in this release have been uploaded with provenance metadata.

Select from 7 files

Attestation for packingsolver-0.1.1197.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 20, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release

0.1.1197 This release

7 release files Full provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page