{"library":"neptune-scale","title":"neptune-scale Client Library","description":"neptune-scale is the official Python client library for Neptune.ai, an MLOps platform for experiment tracking and model management. It enables users to log, visualize, and compare machine learning metadata such as metrics, parameters, and files at scale, especially designed for foundation model training. The library is actively developed, with the current stable version being 0.30.0 and frequent alpha/beta releases.","language":"python","status":"active","last_verified":"Fri May 15","install":{"commands":["pip install neptune-scale"],"cli":null},"imports":["from neptune_scale import Run"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import os\nfrom neptune_scale import Run\n\n# Set these environment variables before running:\n# os.environ['NEPTUNE_API_TOKEN'] = 'YOUR_NEPTUNE_API_TOKEN'\n# os.environ['NEPTUNE_PROJECT'] = 'YOUR_WORKSPACE/YOUR_PROJECT'\n\nif __name__ == '__main__':\n    try:\n        with Run(project=os.environ.get('NEPTUNE_PROJECT', '')) as run:\n            run['sys/tags'].add(['quickstart', 'example'])\n            run['config/learning_rate'] = 0.001\n            for i in range(10):\n                run['metrics/loss'].append(0.9 - i * 0.05)\n            print(f\"Neptune run URL: {run.get_url()}\")\n    except Exception as e:\n        print(f\"An error occurred: {e}\")\n        print(\"Please ensure NEPTUNE_API_TOKEN and NEPTUNE_PROJECT environment variables are set correctly.\")","lang":"python","description":"This quickstart initializes a Neptune Run, logs a configuration parameter and a series of metric values. It demonstrates the recommended use of environment variables for API token and project name, and the 'main guard' for safe execution.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":{"tag":null,"tag_description":null,"last_tested":"2026-05-15","installed_version":"0.30.0","pypi_latest":"0.30.0","is_stale":false,"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":5.9,"avg_import_s":1.94,"wheel_type":"wheel"},"results":[{"runtime":"python:3.10-alpine","python_version":"3.10","os_libc":"alpine (musl)","variant":"neptune-scale","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":1.81,"mem_mb":30.2,"disk_size":"59.9M"},{"runtime":"python:3.10-slim","python_version":"3.10","os_libc":"slim (glibc)","variant":"neptune-scale","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":6,"import_time_s":1.18,"mem_mb":28.3,"disk_size":"61M"},{"runtime":"python:3.11-alpine","python_version":"3.11","os_libc":"alpine (musl)","variant":"neptune-scale","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":2.45,"mem_mb":33.7,"disk_size":"65.9M"},{"runtime":"python:3.11-slim","python_version":"3.11","os_libc":"slim (glibc)","variant":"neptune-scale","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":6.1,"import_time_s":1.87,"mem_mb":31.9,"disk_size":"67M"},{"runtime":"python:3.12-alpine","python_version":"3.12","os_libc":"alpine (musl)","variant":"neptune-scale","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":2.53,"mem_mb":33.3,"disk_size":"56.9M"},{"runtime":"python:3.12-slim","python_version":"3.12","os_libc":"slim (glibc)","variant":"neptune-scale","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":5.1,"import_time_s":2.09,"mem_mb":31.6,"disk_size":"58M"},{"runtime":"python:3.13-alpine","python_version":"3.13","os_libc":"alpine (musl)","variant":"neptune-scale","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":2.4,"mem_mb":33.8,"disk_size":"56.6M"},{"runtime":"python:3.13-slim","python_version":"3.13","os_libc":"slim (glibc)","variant":"neptune-scale","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":5.2,"import_time_s":1.93,"mem_mb":32,"disk_size":"57M"},{"runtime":"python:3.9-alpine","python_version":"3.9","os_libc":"alpine (musl)","variant":"neptune-scale","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":null,"import_time_s":1.67,"mem_mb":30.1,"disk_size":"59.5M"},{"runtime":"python:3.9-slim","python_version":"3.9","os_libc":"slim (glibc)","variant":"neptune-scale","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"clean","install_time_s":6.9,"import_time_s":1.51,"mem_mb":28.2,"disk_size":"60M"}]}}