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February 4, 2026 14:37
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Red Hat & Open Data Hub Baseline Study
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| # Red Hat & Open Data Hub Baseline Study | |
| # Curated list focused on RH product upstreams and ODH ecosystem | |
| # Target: 50+ repositories across AI/ML, Container, Platform, and DevOps domains | |
| # ============================================================================= | |
| # CATEGORY A: Open Data Hub (ODH) GitHub Organization - AI/ML Platform | |
| # ============================================================================= | |
| # Expected: Silver-Gold (actively maintained, Python-heavy, ML focus) | |
| # Core ODH Platform Components | |
| https://github.com/opendatahub-io/opendatahub-operator | |
| https://github.com/opendatahub-io/odh-dashboard | |
| https://github.com/opendatahub-io/odh-manifests | |
| https://github.com/opendatahub-io/model-registry | |
| https://github.com/opendatahub-io/data-science-pipelines | |
| https://github.com/opendatahub-io/notebooks | |
| # ODH Model Serving & Inference | |
| https://github.com/opendatahub-io/modelmesh-serving | |
| https://github.com/opendatahub-io/kserve | |
| https://github.com/opendatahub-io/text-generation-inference | |
| # ODH Data & Feature Store | |
| https://github.com/opendatahub-io/feast | |
| https://github.com/opendatahub-io/ceph | |
| # ODH Workflow & Orchestration | |
| https://github.com/opendatahub-io/kubeflow | |
| https://github.com/opendatahub-io/airflow | |
| # ============================================================================= | |
| # CATEGORY B: Red Hat AI/ML & Data Science Ecosystem | |
| # ============================================================================= | |
| # Expected: Silver-Platinum (varies by project maturity) | |
| # Red Hat AI Platform | |
| https://github.com/red-hat-data-services/data-science-pipelines-operator | |
| https://github.com/red-hat-data-services/rhods-operator | |
| # Model Frameworks & Libraries | |
| https://github.com/vllm-project/vllm | |
| https://github.com/huggingface/transformers | |
| https://github.com/pytorch/pytorch | |
| # ============================================================================= | |
| # CATEGORY C: Container & Cloud-Native (RH Core Products) | |
| # ============================================================================= | |
| # Expected: Gold-Platinum (mature, well-documented, enterprise-grade) | |
| # Podman & Container Tools (Python/Go) | |
| https://github.com/containers/podman | |
| https://github.com/containers/buildah | |
| https://github.com/containers/skopeo | |
| https://github.com/containers/crun | |
| https://github.com/containers/toolbox | |
| # Kubernetes & OpenShift Ecosystem (Go) | |
| https://github.com/kubernetes/kubernetes | |
| https://github.com/openshift/origin | |
| https://github.com/openshift/oc | |
| https://github.com/openshift/console | |
| https://github.com/openshift/installer | |
| # Operators & Controllers (Go) | |
| https://github.com/operator-framework/operator-sdk | |
| https://github.com/operator-framework/operator-lifecycle-manager | |
| https://github.com/openshift/cluster-monitoring-operator | |
| # ============================================================================= | |
| # CATEGORY D: Ansible & Automation (RH Flagship) | |
| # ============================================================================= | |
| # Expected: Gold-Platinum (mature, Python, extensive docs) | |
| # Ansible Core | |
| https://github.com/ansible/ansible | |
| https://github.com/ansible/ansible-runner | |
| https://github.com/ansible/ansible-lint | |
| # Ansible Automation Platform Components | |
| https://github.com/ansible/awx | |
| https://github.com/ansible/awx-operator | |
| https://github.com/ansible/receptor | |
| # Ansible Collections | |
| https://github.com/ansible-collections/community.general | |
| https://github.com/ansible-collections/kubernetes.core | |
| # ============================================================================= | |
| # CATEGORY E: Developer Tools & Platform (RH Developer Portfolio) | |
| # ============================================================================= | |
| # Expected: Silver-Gold (varies by adoption) | |
| # Quarkus (Java/Kotlin) - Red Hat's Java framework | |
| https://github.com/quarkusio/quarkus | |
| https://github.com/quarkusio/quarkus-quickstarts | |
| # Tekton Pipelines (Go) - CI/CD for OpenShift | |
| https://github.com/tektoncd/pipeline | |
| https://github.com/tektoncd/triggers | |
| https://github.com/tektoncd/cli | |
| # CodeReady/DevSpaces (TypeScript/Java) | |
| https://github.com/eclipse-che/che | |
| https://github.com/devfile/api | |
| # Service Mesh & Observability | |
| https://github.com/kiali/kiali | |
| https://github.com/jaegertracing/jaeger | |
| # ============================================================================= | |
| # CATEGORY F: Storage, Networking & Infrastructure | |
| # ============================================================================= | |
| # Expected: Gold (mature infrastructure projects) | |
| # Ceph Storage | |
| https://github.com/ceph/ceph | |
| https://github.com/rook/rook | |
| # Networking | |
| https://github.com/ovn-org/ovn-kubernetes | |
| https://github.com/openshift/sdn | |
| # ============================================================================= | |
| # CATEGORY G: Security & Compliance | |
| # ============================================================================= | |
| # Expected: Silver-Gold (security-focused, may have strict requirements) | |
| # SELinux & Security | |
| https://github.com/SELinuxProject/selinux | |
| https://github.com/openshift/compliance-operator | |
| # Container Security | |
| https://github.com/aquasecurity/trivy | |
| https://github.com/anchore/syft | |
| # ============================================================================= | |
| # CATEGORY H: AI/ML Research & Upstream (Additional Context) | |
| # ============================================================================= | |
| # Expected: Bronze-Silver (research-oriented, less enterprise polish) | |
| # LLM Frameworks & Tools | |
| https://github.com/langchain-ai/langchain | |
| https://github.com/run-llama/llama_index | |
| https://github.com/mlflow/mlflow | |
| # Data Processing & Feature Engineering | |
| https://github.com/ray-project/ray | |
| https://github.com/dask/dask | |
| # ============================================================================= | |
| # CATEGORY I: Observability & Monitoring (RH Platform Services) | |
| # ============================================================================= | |
| # Expected: Gold (well-established monitoring stack) | |
| # Prometheus Ecosystem | |
| https://github.com/prometheus/prometheus | |
| https://github.com/prometheus/alertmanager | |
| https://github.com/grafana/grafana | |
| # OpenTelemetry | |
| https://github.com/open-telemetry/opentelemetry-collector | |
| # ============================================================================= | |
| # CATEGORY J: Red Hat Enterprise Linux (RHEL) Ecosystem | |
| # ============================================================================= | |
| # Expected: Gold-Platinum (foundational to RH) | |
| # System Management | |
| https://github.com/osbuild/osbuild | |
| https://github.com/rhinstaller/anaconda | |
| # Package Management | |
| https://github.com/rpm-software-management/dnf | |
| https://github.com/rpm-software-management/rpm | |
| # ============================================================================= | |
| # NOTES & METHODOLOGY | |
| # ============================================================================= | |
| # | |
| # Repository Selection Criteria: | |
| # 1. Direct upstream to Red Hat products | |
| # 2. Part of Open Data Hub platform | |
| # 3. Critical to Red Hat AI/ML strategy | |
| # 4. Used in Red Hat customer environments | |
| # 5. Actively maintained by Red Hat engineers | |
| # | |
| # Language Distribution: | |
| # - Python: 35% (AI/ML, Ansible, tooling) | |
| # - Go: 40% (Kubernetes, operators, containers) | |
| # - Java/Kotlin: 10% (Quarkus, enterprise apps) | |
| # - TypeScript: 10% (UIs, dashboards) | |
| # - C/C++/Rust: 5% (system-level) | |
| # | |
| # Expected Score Distribution: | |
| # - Platinum (90-100): 10% (flagship products like Ansible, Podman) | |
| # - Gold (75-89): 40% (mature platform components) | |
| # - Silver (60-74): 35% (solid but evolving projects) | |
| # - Bronze (40-59): 10% (research, experimental) | |
| # - Needs Improvement (<40): 5% (expected outliers) | |
| # | |
| # Domains Covered: | |
| # - AI/ML Platform (ODH): 13 repos | |
| # - Red Hat AI/ML Ecosystem: 5 repos | |
| # - Container/Cloud-Native: 15 repos | |
| # - Automation: 8 repos | |
| # - Developer Tools: 10 repos | |
| # - Infrastructure: 4 repos | |
| # - Security: 4 repos | |
| # - AI/ML Research: 5 repos | |
| # - Observability: 4 repos | |
| # - RHEL Ecosystem: 4 repos | |
| # | |
| # Total: 72 repositories | |
| # | |
| # Analysis Focus Areas: | |
| # 1. Python AI/ML repos: Type annotations, testing, documentation | |
| # 2. Go operators: Standard layout, error handling, logging | |
| # 3. Ansible: Module structure, documentation quality | |
| # 4. UI/Dashboard: TypeScript practices, testing coverage | |
| # 5. Cross-cutting: CI/CD, pre-commit hooks, CLAUDE.md adoption |
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