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simplification

Fast linestring simplification using RDP or Visvalingam-Whyatt and a Rust binary

With conditionsPyPI Python ModulesReleased Jun 2026336.2K downloads / moBlueOak-1.0.0Platform wheel

Decision gist · record as of 2026-08-14

platform wheels — simplification-1.0.0-cp310-cp310-macosx_11_0_arm64.whl · simplification-1.0.0-cp310-cp310-macosx_11_0_x86_64.whl · simplification-1.0.0-cp310-cp310-manylinux_2_28_aarch64.whl
v1.0.0 · released 2026-06-08 · Python >=3.10 · 1 runtime deps: numpy

Yes, if you work with geographic data or need to reduce coordinate counts in LineStrings. The library is actively maintained, has no known vulnerabilities, and offers prebuilt wheels for modern Python versions. Install friction is moderate due to compilation, but binary wheels mitigate this. Verify the Blue Oak Model Licence 1.0.0 compatibility with your project before committing.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python >=3.10; numpy is a runtime dependency.
  • Medium install friction due to compiled wheels; prebuilt binaries available for Python 3.10–3.14 on Linux, macOS, and Windows.
  • Active maintenance with recent release (67 days ago) and no known vulnerabilities.

License · maintenance · safety

BlueOak-1.0.0 (unclear) — Licensed under Blue Oak Model Licence 1.0.0 (BlueOak-1.0.0), a permissive open-source license. License treatment is marked unclear in the package metadata, so verify the license terms directly if commercial use is a concern.

last release 2026-06-08 (67 days) · last repo commit 2026-08-07 · 194 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 336,213 downloads/mo, #7,467 on PyPI

Verify before relying

from simplification.cutil import simplify_coords
import numpy as np

coords = [[0.0, 0.0], [5.0, 4.0], [11.0, 5.5], [17.3, 3.2], [27.8, 0.1]]
simplified = simplify_coords(coords, 1.0)
  • Whether the Blue Oak Model Licence 1.0.0 is compatible with your project's license requirements (marked 'unclear' in metadata).
  • Performance characteristics on your specific data size and complexity (benchmarks in documentation are illustrative, not guaranteed).
Same gist for agents: .md · .json

What it is and what it does

Simplification is a Python library that reduces the number of points in a LineString while preserving its overall shape using two well-established algorithms: Ramer–Douglas–Peucker (RDP) and Visvalingam-Whyatt (VW). It wraps a Rust binary via FFI and integrates with numpy, accepting both Python lists and numpy arrays as input. The library supports a topology-preserving variant of VW for cases where valid geometry output is critical.

The package is designed for geographic and geometric applications where coordinate reduction is needed—such as map rendering, data compression, or polyline simplification. It offers variants that return either simplified coordinates or the indices of retained points, allowing flexible integration into downstream workflows. Prebuilt wheels cover Python 3.10–3.14 across Linux, macOS, and Windows.

Use it for

  • Reduce map tile complexity by simplifying LineStrings before rendering on web maps or mobile applications.
  • Compress GPS traces or trajectory data for storage and transmission while retaining navigable geometry.
  • Decimate high-resolution polylines (e.g., from OSRM or Google Maps APIs) to reduce API response size.
  • Prepare geographic data for analysis by removing noise-induced coordinate redundancy before spatial operations.
  • Validate geometry integrity using the topology-preserving VW variant when simplification must not break polygon/line validity.

Worth the install?

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

With conditions

Yes, if you work with geographic data or need to reduce coordinate counts in LineStrings.

The library is actively maintained, has no known vulnerabilities, and offers prebuilt wheels for modern Python versions. Install friction is moderate due to compilation, but binary wheels mitigate this. Verify the Blue Oak Model Licence 1.0.0 compatibility with your project before committing.

Install

simplification on PyPI

Before you install

Medium install friction due to compiled wheels; prebuilt binaries available for Python 3.10–3.14 on Linux, macOS, and Windows. Active maintenance with recent release (67 days ago) and no known vulnerabilities.

Requires Python >=3.10; numpy is a runtime dependency.

License in practice

Licensed under Blue Oak Model Licence 1.0.0 (BlueOak-1.0.0), a permissive open-source license. License treatment is marked unclear in the package metadata, so verify the license terms directly if commercial use is a concern.

Quickstart

from simplification.cutil import simplify_coords
import numpy as np

coords = [[0.0, 0.0], [5.0, 4.0], [11.0, 5.5], [17.3, 3.2], [27.8, 0.1]]
simplified = simplify_coords(coords, 1.0)

Verify before relying

  • Whether the Blue Oak Model Licence 1.0.0 is compatible with your project's license requirements (marked 'unclear' in metadata).
  • Performance characteristics on your specific data size and complexity (benchmarks in documentation are illustrative, not guaranteed).

Package facts

LicenseBlueOak-1.0.0 unclear
Python supportSupports the current Python release >=3.10
Install frictionMedium. Platform-specific wheel
Runtime dependencies
1 package
numpy
MaintenanceActively maintained 67 days since the last release
Last repo commit
First released
Downloads336,213 / month, #7,467 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: GISTopic :: Software Development :: Libraries :: Python Modules

Evidence: simplification-1.0.0-cp310-cp310-macosx_11_0_arm64.whl; simplification-1.0.0-cp310-cp310-macosx_11_0_x86_64.whl; simplification-1.0.0-cp310-cp310-manylinux_2_28_aarch64.whl; simplification-1.0.0-cp310-cp310-manylinux_2_28_x86_64.whl; simplification-1.0.0-cp310-cp310-win_amd64.whl; simplification-1.0.0-cp311-abi3-macosx_11_0_arm64.whl; simplification-1.0.0-cp311-abi3-macosx_11_0_x86_64.whl; simplification-1.0.0-cp311-abi3-manylinux_2_28_aarch64.whl; simplification-1.0.0-cp311-abi3-manylinux_2_28_x86_64.whl; simplification-1.0.0-cp311-abi3-win_amd64.whl

Tags

Capabilities
linestring simplificationramer douglas peuckervisvalingam whyattpolyline reductioncoordinate decimationgeometry simplificationpath simplification
Topics
geospatialgeometry-processingrust-ffi
PyPI keywords
GeoPolylineLinestringRamer-Douglas-PeuckerDouglas-PeuckerVisvalingam-Whyatt

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See also rdp · topojson · polyline · pypolyline · onnxsim · pygeoif · affine · flexpolyline · mgrs · fast-simplification