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Meshroom
Meshroom logo

Meshroom

Active·★ 13.0k·NOASSERTION·Updated 2026-10-27
★ Most Popular★ Essential★ Trending

Meshroom is an open-source, node-based visual programming framework for creating, managing and running complex data-processing pipelines. Each node is one operation, and the output attributes of a node feed the next steps; when an attribute changes, only the affected downstream nodes are invalidated and cached intermediate results are kept. Pipelines can run locally or be distributed across a render farm, and interactive widgets visualise images and 3D data.

The README explains the core concepts: a graph of connected nodes, attributes that control each node, templates that bundle ready-to-use pipelines from plugins, and local or render-farm execution with progress, logs and resource tracking. Official releases ship with built-in plugins for computer vision and machine learning, led by the AliceVision plugin, which covers 3D reconstruction from multi-view images, camera tracking, HDR fusion, panorama stitching and photometric stereo, plus plugins for segmentation from natural-language prompts, depth estimation, RoMa matching, Gaussian splatting, research, MicMac and geolocation. Pre-compiled binaries are available, or you can build from source.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-24.

License
Not detected by GitHub
Latest release
v2025.1.0 · 2025-08-19
Last commit
2026-10-24
Contributors
88
Forks
1,237
Open issues and PRs
541
First published
2015-04-22

Source: GitHub, npm and PyPI public APIs.

#3D Reconstruction#Computer Vision#Photogrammetry#Visual Programming#Node-based#Coding#Image Generation
$ Install
$ git clone https://github.com/alicevision/Meshroom.git
↗ Visit site★ GitHub
01

Features

01Node-based visual programming framework for complex data pipelines.
02Supports 3D reconstruction, computer vision, and machine learning tasks.
03Efficient execution with local and distributed processing on render farms.
04Interactive 2D and 3D data viewers and visualization widgets.
05Extensible architecture with custom Python plugins and bundled vision libraries.
02

Why choose it

+Visual node graph makes complex pipelines easy to build, inspect and rerun.
+Smart invalidation: changing one attribute only recomputes the affected downstream nodes and keeps cached results.
+Runs locally or on a render farm, with progress, logs and resource monitoring.
+Built-in plugins cover photogrammetry, segmentation, depth estimation and Gaussian splatting.
03

Trade-offs

!It is a computer vision and 3D reconstruction tool, not an AI agent or MCP product, so it fits only if you work with images and 3D data.
!Heavy reconstruction work needs substantial compute, and the README points to separate install guides for building from source and for custom plugins.
!Much of the capability lives in separate plugins with their own requirements, so setup depends on which pipelines you use.
04

Maintenance check

ActiveChecked: 2026-10-26
Last commit
2026-10-23
Commits, last 90 days
100+
Releases, last 90 days
0
Latest release
nightly (2026-06-09)
Open issues
543
Recent issues with at least one comment
0/1
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 11, 3, 0, 6, 0, 9, 75, 14, 36, 15, 32, 0

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

  • #595 [FR]: Use OpenCL instead privative alternatives (CUDA, Metal)94 comments · 2019-08-16
  • #528 Why not use neural networks for create depth map?43 comments · 2019-06-29
  • #1539 [question] georeferencing27 comments · 2021-09-28
  • #494 Manually associating points between image pairs26 comments · 2019-06-03
  • #2591 Errors when using Meshroom to make photogrammetry model of small (1 cm long) objects25 comments · 2024-11-03

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

05

Compatibility

Local Machine
Native
Verified via docs
Render Farm
Supported
Verified via docs
06

Quick start

1
$ git clone https://github.com/alicevision/Meshroom.git
07

Use cases

↳Transforming 2D photographs into detailed 3D models and scene geometry.
↳Developing and executing custom computer vision pipelines for tasks like image segmentation and depth estimation.
↳Georeferencing 3D reconstructions by integrating GPS data and contextual geographic information.
08

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On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Quick start07Use cases08Alternatives
alicevision /
Meshroom
↗

Node-based visual framework for photogrammetry and computer vision pipelines

13.0k1.2k
Last commit1d ago
StatusActive
CategoryVision / Multimodal
Contributors88
Latest releasev2025.1.0
Links
Documentation↗Discussion↗Issues↗Releases↗
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