{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/3"}],"enrichment":{"capability":"Metaflow extension that pre-bakes conda and PyPI dependencies into Docker images at deploy time, eliminating conda bootstrap overhead when tasks start on remote runners.","skillfed_tags":["metaflow-extension","docker-optimization","workflow-deployment"],"use_cases":["Deploy Metaflow flows on AWS Batch with pre-built ECR images to reduce task cold-start time.","Run Metaflow workflows on Kubernetes using Kaniko to build and cache images without a local Docker daemon.","Integrate Metaflow with AWS CodeBuild for centralized image builds and push to ECR in CI/CD pipelines.","Develop and test Metaflow flows locally using a local registry container before pushing to production.","Extend the build or registry layer with custom implementations for proprietary image storage or build infrastructure."],"what_it_does":"metaflow-prebuilt is a Metaflow extension that shifts dependency resolution and Docker image building from task runtime to deployment time. Instead of each task bootstrapping its conda environment when it starts, the extension resolves the environment spec for each step during deployment, builds a Docker image with all dependencies pre-installed, pushes it to a registry, and configures the remote runner to pull that image. This eliminates the conda bootstrap overhead at task startup, reducing cold-start latency.\n\nThe extension supports multiple build services (local Docker, Buildx, Kaniko, AWS CodeBuild) and image registries (Docker Hub, ECR, GCR, local), configured via environment variables. It is designed for teams running Metaflow flows on Batch, Kubernetes, or other remote runners where pre-built images provide measurable startup improvements. The extension is extensible: you can subclass DockerBuildService or ImageRegistry to add custom backends.","worth_installing":"Yes, if you run Metaflow flows on remote infrastructure (Batch, Kubernetes) and want to reduce task startup latency by pre-baking dependencies. The extension is actively maintained, has low install friction, and offers a clean configuration model. Install only if you have a registry and build service already available or planned; it adds no value for local-only flows."},"id":"metaflow-prebuilt","links":{"html":"https://skillfed.io/packages/metaflow-prebuilt","md":"https://skillfed.io/packages/metaflow-prebuilt.md","pypi":"https://pypi.org/project/metaflow-prebuilt/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-29","license_spdx":null,"license_treatment":"permissive","name":"metaflow-prebuilt","python_support":"supports_current","summary":"Metaflow extension: pre-bake conda environments into Docker images for fast cold starts"},"popularity":{"monthly_downloads":98470,"position":13082,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.3.5"}