Skip to main content

amd-gsplat

gsplat is an open-source library for GPU-accelerated rasterization of Gaussians with Python bindings. It is inspired by the SIGGRAPH paper 3D Gaussian Splatting for Real-Time Rendering of Radiance Fields.

Information

Installation

pip install amd-gsplat

Metadata

Release files for amd-gsplat 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for amd-gsplat 0.0.1
File Size Uploaded Provenance Actions
amd_gsplat-0.0.1.tar.gz 1.3 kB Without provenance Details for amd_gsplat-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for amd-gsplat 0.0.1
File Interpreter ABI Platform Actions
amd_gsplat-0.0.1-py3-none-any.whl Python 3 none any Details for amd_gsplat-0.0.1-py3-none-any.whl

Total release size: 2.6 kB

Release files / amd_gsplat-0.0.1.tar.gz

Download URL amd_gsplat-0.0.1.tar.gz
Size 1.3 kB
Tags Source
SHA-256 checksum
How to use checksums
956961bad610c3463bc8385fa0421aebecbddc2b83ac144fd1f9860d94024028
BLAKE2b-256 checksum
How to use checksums
8e672b5118c09025f51189d5fc21a19e50a8ebcc87c69d6c55e1ae37a4bc2063
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.3

Release files / amd_gsplat-0.0.1-py3-none-any.whl

Download URL amd_gsplat-0.0.1-py3-none-any.whl
Size 1.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ede922545eb3d194cd12994e58dda57197cd3db83996e12326642b02c669e490
BLAKE2b-256 checksum
How to use checksums
2690c223ea611768a43beefa398d9a5081f1415edde85574c14396a624f2e338
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.3

Security for amd-gsplat 0.0.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page