Alternatives and similar repositories for clearml-serving

Users that are interested in clearml-serving are comparing it to the libraries listed below

• clearml / clearml-agent
  ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution
  ☆279Updated 3 months ago
• triton-inference-server / model_navigator
  Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.
  ☆213Updated 6 months ago
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆185Updated last year
• aimhubio / aimlflow
  aim-mlflow integration
  ☆224Updated 2 years ago
• mlflow / mlflow-torchserve
  Plugin for deploying MLflow models to TorchServe
  ☆110Updated 2 years ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• iterative / gto
  🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.
  ☆153Updated this week
• SeldonIO / tempo
  MLOps Python Library
  ☆120Updated 3 years ago
• FrancescoSaverioZuppichini / dynamic-batching-asyncio
  ☆32Updated 2 years ago
• bentoml / gallery
  BentoML Example Projects 🎨
  ☆141Updated 10 months ago
• iterative / mlem
  🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞
  ☆719Updated 2 years ago
• clearml / clearml-server
  ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling …
  ☆435Updated last week
• iterative / dvclive
  📈 Log and track ML metrics, parameters, models with Git and/or DVC
  ☆181Updated last week
• triton-inference-server / model_analyzer
  Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…
  ☆496Updated last week
• unionai-oss / unionml
  UnionML: the easiest way to build and deploy machine learning microservices
  ☆336Updated 2 years ago
• triton-inference-server / pytriton
  PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.
  ☆825Updated 3 months ago
• operatorai / modelstore
  🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…
  ☆398Updated 10 months ago
• iterative / dataset-registry
  Dataset registry DVC project
  ☆83Updated last year
• triton-inference-server / onnxruntime_backend
  The Triton backend for the ONNX Runtime.
  ☆166Updated this week
• sayakpaul / ml-deployment-k8s-fastapi
  This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.
  ☆221Updated 3 years ago
• asehmi / streamlit-label-studio-frontend
  A Streamlit component integrating Label Studio Frontend in Streamlit applications
  ☆79Updated last year
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆255Updated last year
• Toumash / mlflow-docker
  Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3
  ☆259Updated last year
• Cornerstone-OnDemand / modelkit
  Toolkit for developing and maintaining ML models
  ☆154Updated last year
• cceyda / torchserve-dashboard
  Management Dashboard for Torchserve
  ☆125Updated 2 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆71Updated 3 months ago
• ming0070913 / example-ml-project
  Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker
  ☆105Updated 3 years ago
• iterative / example-get-started
  Get started DVC project (NLP, random forest)
  ☆188Updated last year
• HumanSignal / label-studio-sdk
  Label Studio SDK
  ☆156Updated this week
• ray-project / mlflow-ray-serve
  MLFlow Deployment Plugin for Ray Serve
  ☆46Updated 3 years ago