objaverse
Objaverse is an open dataset with over 10 million 3D objects
Decision gist · record as of 2026-08-14
Yes, if you are actively working with Objaverse-XL for 3D model research or training. The package has low install friction and permissive licensing. However, be aware that maintenance is dormant (last update November 2023), so expect no bug fixes or compatibility updates. Verify that the dataset access and your intended use case align with the ODC-By v1.0 license and any per-object restrictions before committing to a large download.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Polycam data requires separate academic approval; large downloads may require significant disk space and bandwidth.
- Low install friction with a pure-Python wheel and standard data-handling dependencies.
- Maintenance is dormant (last release 2023-11-01, 1017 days ago), so expect no active bug fixes or updates.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive), meaning you can use, modify, and distribute the package freely provided you include the license notice. The underlying dataset itself uses ODC-By v1.0 with per-object license variation.
last release 2023-11-01 (1017 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 97,663 downloads/mo, #13,137 on PyPI
Alternatives
Verify before relying
pip install objaverse
import objaverse
# Use the package to download and process 3D objects from Objaverse-XL- Exact Python version compatibility (requires_python is unspecified in the fact sheet)
- Whether the package provides a high-level download API or primarily serves as a companion to external scripts
- Current state of the dataset's availability and any access restrictions beyond Polycam data
What it is and what it does
Objaverse is a companion package for accessing and processing Objaverse-XL, an open dataset containing over 10 million 3D objects. The package provides utilities to download and work with this large-scale 3D model collection, which was created to support training of 3D foundation models like Zero123-XL. It depends on requests, pandas, pyarrow, tqdm, loguru, fsspec, and gputil to handle data retrieval, processing, progress tracking, and resource monitoring across potentially large downloads.
The package is designed for researchers and developers working with 3D generative models, novel view synthesis, and 3D reconstruction tasks. It integrates with Hugging Face for dataset hosting and includes support for Blender rendering workflows. Note that the project is dormant—the last release was in November 2023—so it receives no active maintenance or updates.
Use it for
- Download subsets of the Objaverse-XL dataset for training 3D vision models or foundation models.
- Batch process 3D objects for rendering, format conversion, or metadata extraction in machine learning pipelines.
- Access pre-processed 3D model collections for research in novel view synthesis or 3D reconstruction.
- Integrate 3D object data into computer vision projects that require diverse, large-scale 3D training data.
- Retrieve and organize 3D models for use with Blender rendering scripts or other 3D graphics workflows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are actively working with Objaverse-XL for 3D model research or training.
The package has low install friction and permissive licensing. However, be aware that maintenance is dormant (last update November 2023), so expect no bug fixes or compatibility updates. Verify that the dataset access and your intended use case align with the ODC-By v1.0 license and any per-object restrictions before committing to a large download.
Install
objaverse on PyPI
Before you install
Low install friction with a pure-Python wheel and standard data-handling dependencies. Maintenance is dormant (last release 2023-11-01, 1017 days ago), so expect no active bug fixes or updates.
Polycam data requires separate academic approval; large downloads may require significant disk space and bandwidth.
License in practice
Licensed under Apache Software License (permissive), meaning you can use, modify, and distribute the package freely provided you include the license notice. The underlying dataset itself uses ODC-By v1.0 with per-object license variation.
Quickstart
pip install objaverse
import objaverse
# Use the package to download and process 3D objects from Objaverse-XLVerify before relying
- Exact Python version compatibility (requires_python is unspecified in the fact sheet)
- Whether the package provides a high-level download API or primarily serves as a companion to external scripts
- Current state of the dataset's availability and any access restrictions beyond Polycam data
Package facts
| License | permissive license permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesrequestspandaspyarrowtqdmlogurufsspecgputil |
| Maintenance | Dormant 1,017 days since the last release |
| First released | |
| Downloads | 97,663 / month, #13,137 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3 |
Evidence: objaverse-0.1.7-py3-none-any.whl
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