sharp Docker & Self-Hosted Deployment

GitHub

High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.

32,764 stars JavaScript JavaScript 101 files · ~54,592 tokens #avif#crop#exif#icc#image#image-processing#javascript#jpeg
1. Pull Image (DOCKERHUB) docker pull lovell/sharp:latest
2. Docker Run (1-Click Launch) docker run -d --name sharp --restart always lovell/sharp:latest
3. Podman Run podman run -d --name sharp --restart always lovell/sharp:latest
4. Skopeo Inspect (Zero-Pull Manifest) skopeo inspect docker://docker.io/lovell/sharp:latest
5. ORAS Pull (OCI Artifact) oras pull lovell/sharp:latest
test/bench/Dockerfile 
FROM ubuntu:25.10
ARG BRANCH=main

# Install basic dependencies
RUN apt-get -y update && apt-get install -y build-essential curl git ca-certificates gnupg

# Install latest Node.js LTS
RUN curl -fsSL https://deb.nodesource.com/setup_24.x -o nodesource_setup.sh
RUN bash nodesource_setup.sh
RUN apt-get install -y nodejs

# Install benchmark dependencies
RUN apt-get install -y imagemagick libmagick++-dev graphicsmagick

# Install sharp
RUN mkdir /tmp/sharp
RUN cd /tmp && git clone --single-branch --branch $BRANCH https://github.com/lovell/sharp.git
RUN cd /tmp/sharp && npm install && npm run build:dist && npm run build

# Install benchmark test
RUN cd /tmp/sharp/test/bench && npm install --omit optional

RUN cat /etc/os-release | grep VERSION=
RUN node -v

WORKDIR /tmp/sharp/test/bench

CMD [ "node", "perf" ]