Meshroom VS Cachely.dev
Compare Meshroom VS Cachely.dev and see what are their differences
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Meshroom
Regard3D
RealityCapture
Pix4Dmapper
3DF Zephyr
ContextCapture
PhotoModeler
Skycatch
Cachely.dev
nxCloud
Cachely is the managed self-hosted remote cache for Nx and Turborepo - the cache backend you'd otherwise build and run yourself, hosted for you on Cloudflare's edge (R2). It's a drop-in replacement for a DIY @nx/s3-cache / S3 bucket setup: point your build tool at Cachely with a token and two environment variables, and share build cache across CI and every developer's laptop.
Unlike a self-hosted cache, Cachely enforces read-only tokens at the API, so pull-request and fork builds can read but never write - closing the Nx cache-poisoning attack (CVE-2025-36852). It adds ROI reporting (the real build minutes and dollars the cache saved), per-tool insights, and build-optimization suggestions on top.
Pricing is a flat per-workspace subscription with no per-seat fees - add every developer, bot, and CI actor without watching the bill. Cachely never stores your source code; it caches only task outputs and their content hashes. Nx and Turborepo today; Bazel on the roadmap.
Meshroom Cachely.devMeshroom is recommended for hobbyists, researchers, and professionals in fields such as archaeology, architecture, and visual effects who seek an accessible and robust photogrammetry tool. It is also suitable for those with a technical background who are comfortable with open-source software.
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Based on our record, Meshroom seems to be more popular. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> Could I use GS to render my living room as a digital playground to train my vision models in? Yes, its what the autonomous car people are doing. However you might want to do photogrammetry first (https://github.com/alicevision/meshroom opensource) as that produces a mesh which you can use to detect collisions easier. The downside is that transparent objects render really badly. But it is a lot faster to render. - Source: Hacker News / 3 months ago
I know there is this github repo Https://github.com/alicevision/meshroom. Source: over 4 years ago
You can input your photos into Meshroom using a capable computer or Colab. Even if you're only interested in some of the depthmaps, you'll have to input a full set of images around the object. It will take 2-4 times longer than default but for your usecase you may want to change the 'Downscale' attribute to 1. Source: over 4 years ago
I know this is r/fossdroid, but I don't think there is any Foss Android application capable of that. However, meshroom came into my mind. It is free and open source with linux support. The downside of it is that you can't create the model right in your phone, but you first need to take many photos to then upload to your computer and process. Source: over 4 years ago
This has been used in Video games for the Better part of decade, already. And you can do this yourself without an iphone with lidar, by taking a lot of pictures of an object from various angles, and then use something like meshroom to make a detailed 3d model of it. Source: over 4 years ago
Regard3D - Regard3D is a free, multiplatform, open-source structure-from-motion application.
nxCloud - nxCloud is a commercial OwnCloud provider
RealityCapture - RealityCapture is a software solution which automatically produces high resolution 3D models from photographs or laser-scans.
Pix4Dmapper - Photogrammetry software for professional drone-based mapping, purely from images.
3DF Zephyr - Next up in my series of Photogrammetry Software Reviews โ after ReMake, PhotoScan & RealityCapture โ is 3DF Zephyr (including the Free version).
ContextCapture - Acute3D develops breakthrough photogrammetry software solutions to automatically turn photos into photorealistic high resolution 3D models