magika Docker & Self-Hosted Deployment

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Fast and accurate AI powered file content types detection

17,858 stars Python Python 1 file · ~2,309 tokens #ai#deep-learning#filetype#keras-classification-models#keras-models#mime-types#onnx
1. Pull Image (DOCKERHUB) docker pull google/magika:latest
2. Docker Run (1-Click Launch) docker run -d --name magika --restart always google/magika:latest
3. Podman Run podman run -d --name magika --restart always google/magika:latest
4. Skopeo Inspect (Zero-Pull Manifest) skopeo inspect docker://docker.io/google/magika:latest
5. ORAS Pull (OCI Artifact) oras pull google/magika:latest
Dockerfile 
# syntax=docker/dockerfile:1

ARG PYTHON_VERSION=3.11
FROM python:${PYTHON_VERSION}-slim as base

# 1. Create a dedicated non-root user and group
RUN groupadd -r magika && useradd -r -g magika magika

WORKDIR /magika

# 2. Change ownership of the working directory
RUN chown magika:magika /magika

# 3. Install Magika (Pinned version and cache disabled for a smaller image)
ARG MAGIKA_VERSION=1.0.3
RUN pip install --no-cache-dir magika==${MAGIKA_VERSION}

# 4. Switch to the non-root user
USER magika

# 5. Add a basic healthcheck
HEALTHCHECK --interval=30s --timeout=5s --start-period=5s --retries=3 \
  CMD magika --version || exit 1

ENTRYPOINT ["magika"]