{"data":{"slug":"star-whale-starwhale","name":"starwhale","tagline":"an MLOps/LLMOps platform","github_url":"https://github.com/star-whale/starwhale","owner":"star-whale","repo":"starwhale","owner_avatar_url":"https://avatars.githubusercontent.com/u/96876756?v=4","primary_language":"Java","stars":237,"forks":38,"topics":["ai","cloud-native","dataset","datastore","fine-tuning","infra","kubernetes","llm","llmops","mlops","model-evaluation","runtime"],"archived":false,"github_pushed_at":"2024-12-20T04:11:17+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/star-whale-starwhale","markdown_url":"https://www.graphcanon.com/tools/star-whale-starwhale.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/star-whale-starwhale","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=star-whale-starwhale","description":"an MLOps/LLMOps 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runtime builds through Docker images for compatibility across various system environments."],"requires_docker":true},"constraints":{"requires_docker":true},"when_to_use":["When the need arises to manage models across different runtimes, including local environment configurations via runtime.yaml or conda environments, Docker images, or shell commands.","If leveraging cloud-native capabilities and Kubernetes integration is a priority for deploying fine-tuned large language models (LLM) on scalable infrastructures."],"when_not_to_use":["In scenarios where an exclusive user preference leans towards Python-based operations over Java and the tool's CLI interactions do not meet operational demands.","For teams that require real-time model serving and have strict latency requirements, as Starwhale may not optimize for such use cases beyond its MLOps 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