pkg.sopackage field notes

brew / rank 1609

Install colmap with Homebrew

Structure-from-Motion and Multi-View Stereo. Version 4.1.1 via Homebrew; verified 2026-07-25.

Install commandSecurity notes

install

Additional install commands

macOS

Homebrewverified ยท 100%
brew install colmap

provider-native install command

overview

Package summary

Structure-from-Motion and Multi-View Stereo

Commands and aliases

  • colmap

history

Project history and usage

COLMAP is a general-purpose Structure-from-Motion and Multi-View Stereo pipeline with both graphical and command-line interfaces.

Project history

The official README says COLMAP was originally written by Johannes Schoenberger with funding from PhD advisors Jan-Michael Frahm and Marc Pollefeys. It builds on existing computer-vision work and asks research users to cite its 2016 Structure-from-Motion and Multi-View Stereo papers.

The project has evolved from a reconstruction application into a broader ecosystem including official Docker images, Conda packages, and Python bindings through PyCOLMAP.

Adoption history

COLMAP became a standard open-source tool in photogrammetry, 3D reconstruction, and computer-vision research because it combines mature SfM/MVS algorithms with a usable GUI, CLI automation, sample datasets, and reproducible citation targets.

Official download notes point to Windows binaries, Linux/Unix/BSD packages through Repology, Docker images, Conda packages, PyPI Python bindings, and source builds, showing adoption across research and package-manager distribution channels.

How it is used

Users reconstruct ordered or unordered image collections through automatic reconstruction, GUI workflows, or CLI pipelines. Package users commonly install the colmap executable for local photogrammetry jobs, research experiments, or scripted reconstruction.

Why package nerds care

COLMAP is packaging-significant because it combines GUI, CLI, CUDA-sensitive computer-vision dependencies, Docker images, Conda packaging, Python bindings, and native distribution packages in one scientific software stack.

Timeline

  • 2016: COLMAP citation papers for Structure-from-Motion and Multi-View Stereo are published.
  • 2020s: Official README documents Docker images, Conda packages, PyCOLMAP bindings, and distribution packages.
  • 2024: Official README includes GLOMAP citation guidance for the global SfM pipeline.

Related projects

  • Official README names dependencies and related components including ceres-solver, poselib, sift-gpu, vlfeat, PyCOLMAP, and GLOMAP.

security posture

No protected-tool coverage found yet

No matching local secret-handling manifest was found for colmap. Nucleus package metadata is still published here so future coverage has a stable package URL.

Install behavior

  • No Homebrew bottle metadata was recorded.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

executables

Installed executables

CommandKindExposureNote
colmapexecutableindexed executableDiscovered from the local executable index.

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-08-03
manager version4.1.1
manager updated2026-07-25
local dataunknown
upstreamnot available
latest detectednot detected
  • okNo freshness warnings were generated.

install metadata

Package metadata

Package keybrew:colmap
Version4.1.1
Package managerHomebrew
Homepagehttps://colmap.github.io/
Repositoryhttps://github.com/colmap/colmap
Last updated2026-07-25T12:25:41Z
Pulseupdated
Bottlenot recorded
Servicenone declared

package graph

Links come from deterministic package relationships, av.db category and tag curation, ecosystem matches, and package hub membership.

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Used sources

  • Geiger risk classifier
  • Nucleus package database
  • curated package history
  • pkgdb category and tag curation