--- title: "AliceVision vs doubletake" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alicevision-alicevision-vs-nianticlabs-doubletake" tools: ["alicevision-alicevision", "nianticlabs-doubletake"] --- # AliceVision vs doubletake *GraphCanon updated Aug 1, 2026* ## Verdict Pick AliceVision if aliceVision is a C++ based framework for 3D reconstruction tasks such as photogrammetry and camera tracking; pick doubletake if doubleTake is a tool for geometry-guided depth estimation using multiview stereo techniques in Python with PyTorch framework, specifically designed for advanced computer vision tasks. [AliceVision](https://alicevision.org) reports 3.5k GitHub stars, 879 forks, and 42 open issues, last pushed Jul 30, 2026. [doubletake](https://nianticlabs.github.io/doubletake/) has 191 stars, 13 forks, and 3 open issues, last pushed May 9, 2025. Figures are from public GitHub metadata via [AliceVision's repository](https://github.com/alicevision/AliceVision) and [doubletake's repository](https://github.com/nianticlabs/doubletake). | | [AliceVision](/tools/alicevision-alicevision.md) | [doubletake](/tools/nianticlabs-doubletake.md) | | --- | --- | --- | | Tagline | 3D Computer Vision Framework | [ECCV 2024] DoubleTake: Geometry Guided Depth Estimation | | Stars | 3,462 | 191 | | Forks | 879 | 13 | | Open issues | 42 | 3 | | Language | C++ | Python | | Adopt for | AliceVision is a C++ based framework for 3D reconstruction tasks such as photogrammetry and camera tracking. | DoubleTake is a tool for geometry-guided depth estimation using multiview stereo techniques in Python with PyTorch framework, specifically designed for advanced computer vision tasks. | | Persona | - | - | | Runtime | - | - | | License | Released under MPLv2, allowing for both free and proprietary use while requiring derived work to also be open source if publicly distributed. | Other | | Categories | Computer Vision | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AliceVision](/tools/alicevision-alicevision.md) | [doubletake](/tools/nianticlabs-doubletake.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 448d | | Open issues (now) | 42 | 3 | | Full report | [trust report](/tools/alicevision-alicevision/trust.md) | [trust report](/tools/nianticlabs-doubletake/trust.md) | ## Decision facts: AliceVision - **Adopt for:** AliceVision is a C++ based framework for 3D reconstruction tasks such as photogrammetry and camera tracking. - **License detail:** Released under MPLv2, allowing for both free and proprietary use while requiring derived work to also be open source if publicly distributed. ## Decision facts: doubletake - **Adopt for:** DoubleTake is a tool for geometry-guided depth estimation using multiview stereo techniques in Python with PyTorch framework, specifically designed for advanced computer vision tasks. ## Choose when ### Choose AliceVision if… - AliceVision is primarily C++; doubletake is Python. - Tags unique to AliceVision: 3d-computer-vision, 3d-reconstruction, alicevision, camera-tracking. - For C++ programmers working on projects that require precise 3D modeling using stereo vision techniques ### Choose doubletake if… - doubletake is primarily Python; AliceVision is C++. - Tags unique to doubletake: computer-vision, cost-volume, depth-estimation, machine-learning. - When working on projects that require precise depth estimation guided by geometric principles within the context of multiview stereo datasets. ## When NOT to use AliceVision - If your project requires a high-level programming interface less involved with low-level coding in C++ - For users who prefer a fully integrated software solution over a framework that might require custom integration ## When NOT to use doubletake - If your project does not involve geometry-guided techniques or if it specifically requires a different deep learning framework other than PyTorch. - If you're looking for general image processing capabilities instead of advanced depth estimation functionalities. ## Common questions ### What is the difference between AliceVision and doubletake? AliceVision: 3D Computer Vision Framework. doubletake: [ECCV 2024] DoubleTake: Geometry Guided Depth Estimation. See the comparison table for live GitHub stats and shared categories. ### When should I choose AliceVision over doubletake? Choose AliceVision over doubletake when AliceVision is primarily C++; doubletake is Python; Tags unique to AliceVision: 3d-computer-vision, 3d-reconstruction, alicevision, camera-tracking; For C++ programmers working on projects that require precise 3D modeling using stereo vision techniques. ### When should I choose doubletake over AliceVision? Choose doubletake over AliceVision when doubletake is primarily Python; AliceVision is C++; Tags unique to doubletake: computer-vision, cost-volume, depth-estimation, machine-learning; When working on projects that require precise depth estimation guided by geometric principles within the context of multiview stereo datasets. ### When should I avoid AliceVision? If your project requires a high-level programming interface less involved with low-level coding in C++ For users who prefer a fully integrated software solution over a framework that might require custom integration ### When should I avoid doubletake? If your project does not involve geometry-guided techniques or if it specifically requires a different deep learning framework other than PyTorch. If you're looking for general image processing capabilities instead of advanced depth estimation functionalities. ### Is AliceVision or doubletake more popular on GitHub? AliceVision has more GitHub stars (3,462 vs 191). Stars measure visibility, not whether either tool fits your constraints. ### Are AliceVision and doubletake open source? Yes - both are open-source projects on GitHub (AliceVision: Other, doubletake: Other). ### Where can I find alternatives to AliceVision or doubletake? GraphCanon lists graph-backed alternatives at [AliceVision alternatives](/tools/alicevision-alicevision/alternatives) and [doubletake alternatives](/tools/nianticlabs-doubletake/alternatives) ([AliceVision markdown twin](/tools/alicevision-alicevision/alternatives.md), [doubletake markdown twin](/tools/nianticlabs-doubletake/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/alicevision-alicevision-vs-nianticlabs-doubletake.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AliceVision or doubletake? AliceVision: Very active. doubletake: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for AliceVision and doubletake? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AliceVision trust report](/tools/alicevision-alicevision/trust); [doubletake trust report](/tools/nianticlabs-doubletake/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alicevision-alicevision`](/api/graphcanon/graph?tool=alicevision-alicevision) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_