Depot vs Django-OCI

Depot provides software delivery tools spanning source control, builds, CI runners, sandboxes, caches, and registries. Its container build service is a drop-in replacement for Docker builds, with persistent caching and native x86 and Arm support. Depot CI runs existing GitHub Actions workflows as a programmable, debuggable CI service, while Depot Registry is an OCI-compliant registry for builds, pull-through caching, and other artifacts. Integrations include GitHub Actions, CircleCI, GitLab CI, Google Cloud Build, Travis CI, Bitbucket Pipelines, Buildkite, Jenkins, and AWS CodeBuild. Cache integrations cover Bazel, Go, Gradle, Maven, Pants, sccache, Nx, and Turborepo. Each build and CI run is isolated in a dedicated virtual machine. Depot says communications use TLS and storage is encrypted at rest; it also identifies SOC 2 Type 2 compliance and time-bound, permission-based debugging access. Plans start at $20 a month, billed monthly, with a 7-day trial and no free plan. Developer includes community support; Business includes Slack Connect support.

Django-OCI is free, open-source software for Python developers building registries that follow the OpenContainers Distribution Specification. The Django module exposes API endpoints for pushing, pulling, and interacting with container images, and can run in a virtual environment or within a container-orchestrated registry. Installation is available through pip or a GitHub checkout and includes Django Rest Framework. Filesystem storage is the default option, intended for smaller registries without external cloud storage. Authentication uses a Docker-style OAuth 2.0 flow with username and account-token credentials plus JWT access tokens. Configuration covers URL prefixes, specification version, content types, storage, authentication, token and session expiry, request limits, and manifest-tag deletion. There is no frontend for viewing containers. Private repositories and repository ownership or contributors are not implemented. The project is described as early development, with most goals still under development. Python tests and distribution-spec conformance testing are documented. Developers are asked to consider GDPR compliance, open an issue for help, and review the project license before use.