{"id":"linuxserver-hydra","name":"hydra","homepage":"https://hub.docker.com/r/linuxserver/hydra","repo_url":"https://hub.docker.com/r/linuxserver/hydra","category":"ai-ml","subcategories":[],"tags":["configuration","configuration-management","ml-experimentation","cli-overrides","reproducibility","python"],"what_it_does":"Hydra is a configuration management framework (commonly for ML/AI and research codebases) that composes configurations, supports hierarchical config structures, and makes it easy to run experiments with parameter sweeps via command-line overrides.","use_cases":["Hierarchical configuration for applications (especially research/ML)","Experiment management with config overrides","Parameter sweeps / grid search by composing configs","Managing environment- and run-specific settings cleanly"],"not_for":["Production-grade secrets management or key/value storage","High-concurrency service APIs where configuration is served dynamically over a network","Security-sensitive use cases without additional hardening around config handling"],"best_when":"You need flexible, composable configuration and reproducible experiment runs, particularly in codebases that already follow a config-driven architecture.","avoid_when":"You require a networked configuration service with strong multi-tenant isolation, or you need built-in secret storage/rotation guarantees.","alternatives":["Pydantic Settings (for typed configs)","Python decouple / dynaconf (settings management)","Gin-config (ML configuration)","OmegaConf (building block for Hydra)","Custom config loaders + dataclasses/attrs","Hydra-like experiment runners (e.g., W&B Sweeps) but with their own config systems"],"af_score":44.2,"security_score":76.5,"reliability_score":35.0,"package_type":"mcp_server","discovery_source":["docker_mcp"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T13:43:50.186679+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":["Python"],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"Not an API service; authentication is not applicable in the typical client/server sense."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Open-source library; no usage-based pricing indicated from provided data."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":44.2,"security_score":76.5,"reliability_score":35.0,"mcp_server_quality":0.0,"documentation_accuracy":40.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":100.0,"rate_limit_clarity":0.0,"tls_enforcement":100.0,"auth_strength":100.0,"scope_granularity":100.0,"dependency_hygiene":50.0,"secret_handling":20.0,"security_notes":"As a local configuration library it does not handle transport security/auth. Main risk is accidental secret leakage via configuration files, logs, or experiment outputs if users store secrets in plain config. Dependency hygiene cannot be confirmed without manifest data.","uptime_documented":0.0,"version_stability":60.0,"breaking_changes_history":50.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Agents may incorrectly assume Hydra provides a network API (it primarily manages local configuration and launches runs).","Config composition/overrides can be subtle; agents should follow the repo’s configuration conventions and examples closely.","If using YAML/structured configs, agents should validate and type-check configs to avoid runtime failures."]}}