{"library":"spacy-loggers","type":"library","category":null,"description":"spacy-loggers is a Python library that provides logging utilities for spaCy v3.2 and newer, allowing integration with various MLOps tools and machine learning frameworks. It currently supports Weights & Biases, MLflow, ClearML, PyTorch, and CuPy, offering a way to track training metrics and model artifacts independently from the core spaCy library. The current version is 1.0.5, with an active release cadence that regularly introduces new loggers and updates existing ones.","language":"python","status":"active","version":"1.0.5","tags":["spacy","logging","MLOps","Wandb","MLflow","ClearML","PyTorch","Cupy","training","experiment-tracking"],"install":[{"cmd":"pip install spacy-loggers","imports":["@loggers = \"spacy.WandbLogger.v5\"","@loggers = \"spacy.MLflowLogger.v2\"","@loggers = \"spacy.ClearMLLogger.v2\"","@loggers = \"spacy.ChainLogger.v1\"","@loggers = \"spacy.PyTorchLogger.v1\"","@loggers = \"spacy.CupyLogger.v1\""]},{"cmd":"pip install spacy-loggers[wandb] spacy-loggers[mlflow] spacy-loggers[clearml] spacy-loggers[torch] spacy-loggers[cupy]","imports":[]}],"homepage":null,"github":"https://github.com/explosion/spacy-loggers","docs":null,"changelog":null,"pypi":"https://pypi.org/project/spacy-loggers/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":1.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/spacy-loggers/compatibility"},"provenance":{"verified_status":"skip","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":"stale"}}