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MAVO 3D VS cppq

Compare MAVO 3D VS cppq and see what are their differences

MAVO 3D

Mobile LiDAR 3D scanning for professionals. Capture precise, ready-to-use 3D models for as-built documentation with your iPhone Pro and iPad Pro.

Rating
0 reviews
Pricing
Freemium Free trial
Alternatives Is it good?
cppq

Simple, reliable & efficient distributed task queue for C++

Rating
0 reviews
Alternatives Is it good?
RealityMAX
RealityMAX is the full-stack, AI-powered product visualization platform, 100% online. Turn any image into 3D in seconds, enhance your visuals with AI, and download your work or share it as interactive 3D or AR in a snap, without a line of code. sponsored
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Base details

Website, pricing, platforms and company facts side by side.

MAVO 3D
cppq
Website madvoxel.com github.com
Pricing
Freemium Free trial Official pricing
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Platforms
iOS
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Company Startup from Switzerland · 1 - 9 employees · 2025 —
Listed in
3D Technology 3D LiDAR Scanner
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About MAVO 3D and cppq

In their own words, as submitted to SaaSHub.

MAVO 3D
cppq

Immediately deploy across your construction and real estate team. No expensive vendor lock-ins, export in open industry formats, full data privacy. What is MAVO 3D? MAVO 3D is a professional-grade mobile 3D LiDAR scanning app for iPhone Pro and iPad Pro, built for AECO (Architecture, Engineering,...

Read more about MAVO 3D

No description of cppq yet.

Features and specs

What each product offers, as listed by its team.

MAVO 3D 3 features
cppq 5 features
  • Data Security
    Fully processed locally on-device. 100% data-privacy & works in remote locations.
  • Project Size
    Scan single rooms to large buildings. Indoor and Outdoor.
  • Export Formats
    Point cloud industry standard formats, such as E57, LAS and more
  • Lightweight C++ implementation
    cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
  • Redis-backed reliability
    Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
  • Inspired by proven design (asynq)
    The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
  • Native integration for C++ projects
    For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
  • Open source and inspectable
    Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

  • Limited maturity and battle-testing
    Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
  • Smaller community and ecosystem
    Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
  • Documentation gaps
    As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
  • C++ build and dependency complexity
    Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
  • Fewer built-in features and tooling
    cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.

Analysis

An editorial look at what each product does well and who it suits.

MAVO 3D
cppq

Overall verdict

  • MAVO 3D by MadVoxel appears to be a niche 3D modeling/voxel-based design tool, but without extensive independent reviews or widespread user feedback available, it's difficult to give a definitive quality assessment. It seems to cater to a specific creative or technical audience, and its value depends heavily on your specific use case and workflow needs.

Why this product is good

  • Specialized voxel-based 3D modeling approach that may suit particular creative workflows
  • Potentially lightweight or focused tool compared to larger, more complex 3D software suites
  • May offer a lower learning curve for users specifically interested in voxel art or modeling
  • Could be cost-effective compared to industry-standard 3D modeling software

Recommended for

  • Hobbyist 3D artists interested in voxel-style modeling
  • Indie game developers needing voxel assets
  • Users looking for a simpler alternative to complex 3D modeling software
  • Those who specifically want voxel-based design tools rather than traditional polygon modeling
  • Users who have researched and confirmed it meets their specific technical requirements before purchase

Overall verdict

  • cppq is a lightweight, Redis-backed distributed task queue for C++ inspired by Go's popular 'asynq' library. It's a good choice for developers who need a simple, dependency-light job queue system in C++ without the overhead of larger enterprise messaging systems, though it's a smaller, less battle-tested project compared to mature alternatives.

Why this product is good

  • Simple and lightweight design makes it easy to understand and integrate into existing C++ projects
  • Built on Redis, a well-established and reliable backend for queue storage, giving it a solid foundation
  • Inspired by asynq (a proven Go library), so the design patterns and task queue semantics are based on a well-thought-out model
  • Open source on GitHub, allowing developers to inspect, modify, and contribute to the code
  • Good fit for projects already using Redis, minimizing the need for additional infrastructure
  • Straightforward API for enqueueing and processing background jobs in C++ applications

Recommended for

  • C++ developers needing a background job/task queue without adopting a heavyweight message broker
  • Projects already using Redis as part of their infrastructure
  • Small to medium-sized applications requiring asynchronous task processing
  • Teams comfortable working with less mainstream or smaller open-source libraries and willing to contribute or debug issues themselves
  • Developers familiar with asynq (Go) looking for a similar pattern in C++
  • Prototyping or hobby projects where a minimal task queue solution is sufficient

Videos

Walkthroughs and reviews on video.

MAVO 3D 1 video + Add
cppq 0 videos + Add

3D scanning with iPad Pro and iPhone Pro for renovation project documentation

No cppq videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
MAVO 3D
cppq
100% 100%
3D
0% 0%
100% 100%
3D Technology
0% 0%
100% 100%
LiDAR Scanner
0% 0%

Questions & Answers

As answered by people managing MAVO 3D and cppq.

Why should a person choose your product over its competitors?

MAVO 3D's answer

Most 3D scanning solutions either require expensive dedicated hardware, force you into proprietary cloud ecosystems, or sacrifice accuracy for convenience. MAVO 3D delivers professional-grade LiDAR scanning using hardware you already own, iPhone Pro or iPad Pro, with no vendor lock-in and full export freedom across all major point cloud formats (E57, LAS, PLY, PCD, PTS, PTX). Advanced loop closure reduces alignment drift on large-scale scans, and self-hosted or on-premise storage options make it viable for data-sensitive projects. Professional accuracy, fraction of the cost.

How would you describe the primary audience of your product?

MAVO 3D's answer

MAVO 3D is built for AECO professionals, such as architects, engineers, construction managers, surveyors, and facility managers, who need accurate as-built documentation without the overhead of traditional laser scanning equipment. It's equally suited to BIM specialists running scan-to-BIM pipelines, renovation contractors documenting existing conditions, and heritage preservation teams capturing historic structures.

What's the story behind your product?

MAVO 3D's answer

MadVoxel is a team of 3D software specialists based in Switzerland who saw a clear gap in the market: professional-grade 3D scanning was locked behind expensive hardware and complex workflows that most AECO teams couldn't justify. With LiDAR sensors now built into iPhone Pro and iPad Pro, the hardware problem was solved, so MadVoxel built the intelligent software layer to match. MAVO 3D was created to make precision reality capture accessible, private, and genuinely useful for real builders and real workflows.

Which are the primary technologies used for building your product?

MAVO 3D's answer

  • Apple LiDAR sensor integration (iPhone Pro / iPad Pro)
  • Proprietary SLAM (Simultaneous Localization and Mapping) algorithm for real-time positioning and point cloud construction
  • On-device real-time point cloud processing and post-processing optimization pipelines
  • Loop closure for drift correction in large-scale environments
  • Open industry-standard export formats: E57, LAS, PLY, PCD, PTS, PTX
  • On-premise / self-hosted storage infrastructure support

Who are some of the biggest customers of your product?

MAVO 3D's answer

  • Architecture and renovation firms using MAVO 3D for as-built documentation and early-stage building surveys
  • Construction companies tracking progress on active building sites
  • BIM specialists integrating mobile point clouds into scan-to-BIM pipelines
  • Real estate and facility management teams capturing up-to-date building data to build accurate digital twins for space planning, sensor placement, and operational task oversight

What makes your product unique?

MAVO 3D's answer

MAVO 3D is a mobile 3D LiDAR scanning solution that processes high-accuracy point clouds entirely on-device, no cloud upload, no internet connection, no third-party processing required. Built on a proprietary SLAM-based algorithm, it delivers up to 1mm point density, with up to 3 million points per second directly from your iPhone Pro or iPad Pro. Results are instantly reviewable on site, even in basements or remote locations. With full export freedom across all major open formats and no vendor lock-in, MAVO 3D is the privacy-first, professional-grade choice for AECO teams who need accurate building documentation without expensive dedicated hardware.

User comments

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