vs-jetpack

vs-jetpack provides a collection of Python modules for filtering video using VapourSynth. These include modules for scaling, masking, denoising, debanding, dehaloing, deinterlacing, and antialiasing, as well as general utility functions.

For support you can check out the JET Discord server.

Documentation

You can find the full API reference on the project's documentation site.

If you're looking for workflow recommendations, the JET Encoding Guide is available here.

Installation

vsjetpack relies on a number of VapourSynth plugins to function. Most of these plugins are now available as Python packages on PyPI and can be installed automatically using extras:

Breakdown

Most extras are hierarchical. For example, denoise includes all plugins from aa, which in turn includes mask, and so on.

Extra	Purpose	Included Plugins / Packages
`source`	Clip indexing	`bestsource`, `ffms2`, `lsmas`, `d2vsource`, `dvdsrc2`
`kernels`	Resizing	`resize2`, `descale`, `vs-placebo`
`rg`	Repair & smoothing	`awarp`, `zsmooth` (+ `kernels`, `expr`)
`mask`	Masking	`edgemasks`, `hysteresis`, `subtext` (+ `source`, `rg`)
`scale`	Scaling and MLRT tools	`ov` and supporting Python packages (+ `mask`)
`aa`	Anti-aliasing	`bwdif`, `sangnom`, `znedi3` (+ `scale`)
`denoise`	Denoising	`bm3d`, `bm3dcpu` / `bm3dmetal`, `dfttest2`, `deblock`, `fmtconv`, `mvutensils`, `nlm-ispc` (+ `aa`)
`deband`	Debanding	`vsnoise` (+ `denoise`)
`deinterlace`	Deinterlacing	`dmetrics`, `vivtc` (+ `denoise`)
`full`	All CPU-based extras	All of the above
`gpu`	Generic GPU	`ort`
`cl`	OpenCL	`vszipcl`
`vulkan`	Vulkan devices	`eedi3vk2`, `ncnn`, `nnedi3vk`
`nvidia`	NVIDIA GPU	`bm3dcuda`, `bilateralgpu`, `dfttest2[cufft,nvrtc]`, `ort-cuda`, `trt{-rtx}`, `vszipcu` (+ `cl`, `vulkan`)
`amd`	AMD GPU	`bm3dhip`, `dfttest2[hiprtc,hipfft]`, Linux-only `mlrt-migx` (+ `gpu`, `cl`, `vulkan`)

Important

Some plugins distribute their wheels through our custom package index instead of PyPI.

Add --extra-index-url to ensure pip can locate all required packages:

pip install vsjetpack[full] --extra-index-url https://jaded-encoding-thaumaturgy.github.io/vs-wheels/simple

When downloading the nvidia extra, you can also add the NVIDIA index:

Bash

pip install vsjetpack[full,nvidia] \
  --extra-index-url https://pypi.nvidia.com/ \
  --extra-index-url https://jaded-encoding-thaumaturgy.github.io/vs-wheels/simple

Powershell

pip install vsjetpack[full,nvidia] `
  --extra-index-url https://pypi.nvidia.com/ `
  --extra-index-url https://jaded-encoding-thaumaturgy.github.io/vs-wheels/simple

For more information, click here.

Not all extras have prebuilt wheels on every platform:

Extra	Windows x64	Linux (glibc 2.35+)	Linux (musl 1.2+)	macOS (x64/ARM) 15.0+
`source`	✅	✅	✅	✅
`kernels`	✅	✅	✅	✅
`rg`	✅	✅	✅	✅
`mask`	✅	✅	✅	✅
`scale`	✅	✅	❌	✅
`aa`	✅	✅	❌	✅
`denoise`	✅	✅	❌	✅
`deband`	✅	✅	❌	✅
`deinterlace`	✅	✅	❌	✅
`full`	✅	✅	❌	✅
`gpu`	✅	✅	❌	✅
`cl`	✅	✅	❌	✅
`vulkan`	✅	✅	❌	✅
`nvidia`	✅	⚠️¹	❌	❌
`amd`	✅	✅	❌	❌

bilateralgpu requires Glibc 2.39+. ↩

Metadata

Release files for vsjetpack 2.2.5

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

Source distribution (sdist)

Source distribution for vsjetpack 2.2.5
File	Size	Uploaded
vsjetpack-2.2.5.tar.gz	616.7 kB	Oct 4, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for vsjetpack 2.2.5
File	Interpreter	ABI	Platform	Reset
vsjetpack-2.2.5-py3-none-any.whl 446.4 kB Oct 4, 2026	Python 3	none	any	Details

Total release size: 1.1 MB

Release files / vsjetpack-2.2.5.tar.gz

Download URL	vsjetpack-2.2.5.tar.gz
Size	616.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`61a725d8c49d0be848aaa13920487410630b62481e3baf8523cf0442b4bdeecf`
BLAKE2b-256 checksum How to use checksums	`f5b26ada893ab892edc3458c95f621790ee629b084256b79b891dc2d4838fc33`
Upload date	Oct 4, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Jaded-Encoding-Thaumaturgy/vs-jetpack
Publishing commit: github.com/Jaded-Encoding-Thaumaturgy/vs-jetpack/tree/b9a6dbdacd4da502e5a8a90e264a75ca6ddf0252

Workflow

Publishing configuration: github.com/Jaded-Encoding-Thaumaturgy/vs-jetpack/blob/b9a6dbdacd4da502e5a8a90e264a75ca6ddf0252/.github/workflows/pypipublish.yml
Publishing logs: github.com/Jaded-Encoding-Thaumaturgy/vs-jetpack/actions/runs/37229363825/attempts/1

Artifact

Subject: vsjetpack-2.2.5.tar.gz
SHA-256 checksum: 61a725d8c49d0be848aaa13920487410630b62481e3baf8523cf0442b4bdeecf Verifying attestations

Release files / vsjetpack-2.2.5-py3-none-any.whl

Download URL	vsjetpack-2.2.5-py3-none-any.whl
Size	446.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`0e5c50e0f46d356131103277fd6ff1311e89208d9765a24f649b50d28608464f`
BLAKE2b-256 checksum How to use checksums	`1a2b0522da7dc826e9168b6cf01873d0405567278dc527b6a6d3dd33e31183f9`
Upload date	Oct 4, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Jaded-Encoding-Thaumaturgy/vs-jetpack
Publishing commit: github.com/Jaded-Encoding-Thaumaturgy/vs-jetpack/tree/b9a6dbdacd4da502e5a8a90e264a75ca6ddf0252

Workflow

Publishing configuration: github.com/Jaded-Encoding-Thaumaturgy/vs-jetpack/blob/b9a6dbdacd4da502e5a8a90e264a75ca6ddf0252/.github/workflows/pypipublish.yml
Publishing logs: github.com/Jaded-Encoding-Thaumaturgy/vs-jetpack/actions/runs/37229363825/attempts/1

Artifact

Subject: vsjetpack-2.2.5-py3-none-any.whl
SHA-256 checksum: 0e5c50e0f46d356131103277fd6ff1311e89208d9765a24f649b50d28608464f Verifying attestations

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2.2.6

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vsjetpack 2.2.5

vs-jetpack

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