{"data":{"node":{"slug":"kleveross-ormb","name":"ormb","tagline":"Docker for ML/DL Models Based on OCI Artifacts","github_url":"https://github.com/kleveross/ormb","owner":"kleveross","repo":"ormb","owner_avatar_url":"https://avatars.githubusercontent.com/u/68282154?v=4","primary_language":"Go","stars":474,"forks":61,"topics":["docker","docker-registry","harbor","image-registry","machine-learning","model-management","model-versioning","oci","oci-artifacts","oci-registry","opencontainers"],"archived":false,"github_pushed_at":"2024-01-26T02:53:43+00:00","maintenance_label":"Dormant","stars_delta_30d":1,"url":"https://www.graphcanon.com/tools/kleveross-ormb","markdown_url":"https://www.graphcanon.com/tools/kleveross-ormb.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kleveross-ormb","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kleveross-ormb"},"categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"docker","name":"docker"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"model-management","name":"model-management"},{"slug":"model-versioning","name":"model-versioning"},{"slug":"oci-artifacts","name":"oci-artifacts"}],"edges":[],"neighbours":[{"slug":"keras-team-autokeras","name":"autokeras","tagline":"AutoML library for deep learning","github_url":"https://github.com/keras-team/autokeras","owner":"keras-team","repo":"autokeras","owner_avatar_url":"https://avatars.githubusercontent.com/u/34455048?v=4","primary_language":"Python","stars":9335,"forks":1388,"topics":["autodl","automated-machine-learning","automl","deep-learning","keras","machine-learning","neural-architecture-search","python","tensorflow"],"archived":false,"github_pushed_at":"2025-11-25T02:26:35+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/keras-team-autokeras","markdown_url":"https://www.graphcanon.com/tools/keras-team-autokeras.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/keras-team-autokeras","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=keras-team-autokeras","shared_categories":["model-training"]},{"slug":"bentoml-bentoml","name":"BentoML","tagline":"The easiest way to serve AI apps and models","github_url":"https://github.com/bentoml/BentoML","owner":"bentoml","repo":"BentoML","owner_avatar_url":"https://avatars.githubusercontent.com/u/49176046?v=4","primary_language":"Python","stars":8847,"forks":1032,"topics":["ai-inference","deep-learning","generative-ai","inference-platform","llm","llm-inference","llm-serving","llmops","machine-learning","ml-engineering","mlops","model-inference-service","model-serving","multimodal","python"],"archived":false,"github_pushed_at":"2026-09-07T17:43:01+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/bentoml-bentoml","markdown_url":"https://www.graphcanon.com/tools/bentoml-bentoml.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/bentoml-bentoml","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=bentoml-bentoml","shared_categories":["inference-serving"]},{"slug":"ai-dynamo-dynamo","name":"dynamo","tagline":"A Datacenter Scale Distributed Inference Serving Framework","github_url":"https://github.com/ai-dynamo/dynamo","owner":"ai-dynamo","repo":"dynamo","owner_avatar_url":"https://avatars.githubusercontent.com/u/201626793?v=4","primary_language":"Rust","stars":8121,"forks":1601,"topics":["diffusion","disaggregated-serving","kubernetes","llm-inference","omni","routing-engine","rust","sglang","tensorrt-llm","vllm"],"archived":false,"github_pushed_at":"2026-09-19T17:01:54+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/ai-dynamo-dynamo","markdown_url":"https://www.graphcanon.com/tools/ai-dynamo-dynamo.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ai-dynamo-dynamo","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ai-dynamo-dynamo","shared_categories":["inference-serving"]},{"slug":"kserve-kserve","name":"kserve","tagline":"Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes","github_url":"https://github.com/kserve/kserve","owner":"kserve","repo":"kserve","owner_avatar_url":"https://avatars.githubusercontent.com/u/83512434?v=4","primary_language":"Go","stars":5970,"forks":1689,"topics":["artificial-intelligence","cncf","genai","hacktoberfest","istio","k8s","knative","kserve","kubeflow","kubernetes","llm-inference","machine-learning","mlops","model-interpretability","model-serving","pytorch","service-mesh","tensorflow","vllm","xgboost"],"archived":false,"github_pushed_at":"2026-09-19T13:08:33+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/kserve-kserve","markdown_url":"https://www.graphcanon.com/tools/kserve-kserve.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kserve-kserve","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kserve-kserve","shared_categories":["inference-serving"]},{"slug":"seldonio-seldon-core","name":"seldon-core","tagline":"An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models","github_url":"https://github.com/SeldonIO/seldon-core","owner":"SeldonIO","repo":"seldon-core","owner_avatar_url":"https://avatars.githubusercontent.com/u/10297834?v=4","primary_language":"Go","stars":4782,"forks":866,"topics":["aiops","deployment","kubernetes","machine-learning","machine-learning-operations","mlops","production-machine-learning","serving"],"archived":false,"github_pushed_at":"2026-03-23T11:39:54+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/seldonio-seldon-core","markdown_url":"https://www.graphcanon.com/tools/seldonio-seldon-core.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/seldonio-seldon-core","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=seldonio-seldon-core","shared_categories":["inference-serving"]},{"slug":"pytorch-serve","name":"serve","tagline":"Serve, optimize and scale PyTorch models in production","github_url":"https://github.com/pytorch/serve","owner":"pytorch","repo":"serve","owner_avatar_url":"https://avatars.githubusercontent.com/u/21003710?v=4","primary_language":"Java","stars":4344,"forks":880,"topics":["cpu","deep-learning","docker","gpu","kubernetes","machine-learning","metrics","mlops","optimization","pytorch","serving"],"archived":true,"github_pushed_at":"2025-08-06T19:17:08+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/pytorch-serve","markdown_url":"https://www.graphcanon.com/tools/pytorch-serve.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pytorch-serve","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pytorch-serve","shared_categories":["inference-serving"]},{"slug":"kubeflow-pipelines","name":"pipelines","tagline":"Machine Learning Pipelines for Kubeflow","github_url":"https://github.com/kubeflow/pipelines","owner":"kubeflow","repo":"pipelines","owner_avatar_url":"https://avatars.githubusercontent.com/u/33164907?v=4","primary_language":"Go","stars":4230,"forks":2136,"topics":["data-science","kubeflow","kubeflow-pipelines","kubernetes","machine-learning","mlops","pipeline"],"archived":false,"github_pushed_at":"2026-09-28T20:00:41+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/kubeflow-pipelines","markdown_url":"https://www.graphcanon.com/tools/kubeflow-pipelines.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kubeflow-pipelines","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kubeflow-pipelines","shared_categories":["model-training","inference-serving"]},{"slug":"superlinked-sie","name":"sie","tagline":"Open-source inference server and production cluster for all the models your agent needs.","github_url":"https://github.com/superlinked/sie","owner":"superlinked","repo":"sie","owner_avatar_url":"https://avatars.githubusercontent.com/u/94243920?v=4","primary_language":"Python","stars":3293,"forks":311,"topics":["bge","colbert","data-pipeline","deep-learning","embeddings","inference","inference-server","information-retrieval","llm","ml","mlops","natural-language-processing","nlp","python","reranking","retrieval","retrieval-augmented-generation","semantic-search","splade","vector-search"],"archived":false,"github_pushed_at":"2026-09-19T01:00:02+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/superlinked-sie","markdown_url":"https://www.graphcanon.com/tools/superlinked-sie.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/superlinked-sie","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=superlinked-sie","shared_categories":["inference-serving"]},{"slug":"pykeio-ort","name":"ort","tagline":"Fast ML inference and training for ONNX models in Rust","github_url":"https://github.com/pykeio/ort","owner":"pykeio","repo":"ort","owner_avatar_url":"https://avatars.githubusercontent.com/u/62268720?v=4","primary_language":"Rust","stars":2515,"forks":271,"topics":["ai","ai-training","fine-tuning","inference","machine-learning","onnx","onnxruntime","rust"],"archived":false,"github_pushed_at":"2026-09-16T09:56:02+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/pykeio-ort","markdown_url":"https://www.graphcanon.com/tools/pykeio-ort.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pykeio-ort","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pykeio-ort","shared_categories":["model-training","inference-serving"]},{"slug":"kubeflow-trainer","name":"trainer","tagline":"Distributed AI Model Training and LLM Fine-Tuning on Kubernetes","github_url":"https://github.com/kubeflow/trainer","owner":"kubeflow","repo":"trainer","owner_avatar_url":"https://avatars.githubusercontent.com/u/33164907?v=4","primary_language":"Go","stars":2225,"forks":1052,"topics":["ai","distributed","fine-tuning","gpu","huggingface","jax","kubeflow","kubernetes","llm","machine-learning","mlops","python","pytorch","tensorflow","xgboost"],"archived":false,"github_pushed_at":"2026-09-19T02:01:49+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/kubeflow-trainer","markdown_url":"https://www.graphcanon.com/tools/kubeflow-trainer.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kubeflow-trainer","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kubeflow-trainer","shared_categories":["model-training"]},{"slug":"huangowen-awesome-llm-compression","name":"Awesome-LLM-Compression","tagline":"Awesome LLM compression research papers and tools to accelerate LLM training and inference.","github_url":"https://github.com/HuangOwen/Awesome-LLM-Compression","owner":"HuangOwen","repo":"Awesome-LLM-Compression","owner_avatar_url":"https://avatars.githubusercontent.com/u/24937399?v=4","primary_language":null,"stars":1883,"forks":134,"topics":[],"archived":false,"github_pushed_at":"2026-08-27T15:48:21+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/huangowen-awesome-llm-compression","markdown_url":"https://www.graphcanon.com/tools/huangowen-awesome-llm-compression.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huangowen-awesome-llm-compression","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huangowen-awesome-llm-compression","shared_categories":["inference-serving"]},{"slug":"vertaai-modeldb","name":"modeldb","tagline":"Open Source ML Model Versioning Metadata and Experiment Management","github_url":"https://github.com/VertaAI/modeldb","owner":"VertaAI","repo":"modeldb","owner_avatar_url":"https://avatars.githubusercontent.com/u/45020510?v=4","primary_language":"Java","stars":1750,"forks":287,"topics":["machine-learning","mit","model-management","model-versioning","modeldb","verta"],"archived":false,"github_pushed_at":"2024-07-23T17:06:34+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/vertaai-modeldb","markdown_url":"https://www.graphcanon.com/tools/vertaai-modeldb.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/vertaai-modeldb","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=vertaai-modeldb","shared_categories":["model-training"]}]}}