{"library":"torchx","type":"library","category":null,"description":"TorchX is a Python SDK for MLOps that helps you compose, configure, and launch PyTorch applications on various schedulers like local, Docker, Kubernetes, and Ray. It provides a common API for distributed training, serving, and other ML workloads. The current version is 0.7.0, with major releases occurring every few months.","language":"python","status":"active","version":"0.7.0","tags":["pytorch","distributed-training","mlops","orchestration","job-scheduler","ray","kubernetes"],"last_verified":"Mon May 25","install":[{"cmd":"pip install torchx","imports":["from torchx.runner import TorchxRunner","from torchx.specs import AppDef","from torchx.specs import Role","from torchx.specs import Resource","import torchx.components.dist.ddp"]}],"homepage":"https://pytorch.org/torchx","github":"https://github.com/pytorch/torchx","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torchx/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":3.6,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torchx/compatibility"}}