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It is designed for ease of deployment in containerized environments such as Kubernetes, edge devices, or automated ML pipelines.\n\n---\n\n## 🔍 Features\n\n- 🐳 Lightweight Docker image based on `miniconda`\n- ⚡ Embed Package for active anomaly detection with isolation forests ([coniferest](https://github.com/snad-space/coniferest))\n- 📦 Ready to use with volume mounts or input/output pipelines\n\n---\n\n## Requirement\n\nInstall them first!\n\n- `Docker` \u003e= 27.5.1\n- `go`\u003e= 1.23.4\n\n## 🚀 Usage\n\n```bash\ngit clone https://github.com/astrolabsoftware/coniferest-container\n\n# Install pre-requisites (i.e ciux packaging tool)\n./prereq.sh\n\n# Build image\n./build.sh\n\n# Push image to astrolabsoftware registry\n./push-image.sh\n\n# Run image\n./run.sh\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fastrolabsoftware%2Fconiferest-container","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fastrolabsoftware%2Fconiferest-container","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fastrolabsoftware%2Fconiferest-container/lists"}