{"id":18794609,"url":"https://github.com/neptune-ai/neptune-prophet","last_synced_at":"2025-04-13T14:32:48.246Z","repository":{"id":57836858,"uuid":"463125639","full_name":"neptune-ai/neptune-prophet","owner":"neptune-ai","description":"Experiment tracking for Prophet. 🧩 Log, organize, visualize and compare model parameters, forecasts, and 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Neptune + Prophet integration\n\nExperiment tracking for Prophet-trained models.\n\n## What will you get with this integration?\n\n* Log, organize, visualize, and compare ML experiments in a single place\n* Monitor model training live\n* Version and query production-ready models and associated metadata (e.g., datasets)\n* Collaborate with the team and across the organization\n\n## What will be logged to Neptune?\n\n* parameters,\n* forecast data frames,\n* residual diagnostic charts,\n* [other metadata](https://docs.neptune.ai/logging/what_you_can_log)\n\n![image](https://docs.neptune.ai/img/app/integrations/prophet.png)\n\n## Resources\n\n* [Documentation](https://docs.neptune.ai/integrations/prophet)\n* [Code example on GitHub](https://github.com/neptune-ai/examples/tree/main/integrations-and-supported-tools/prophet/scripts)\n* [Example project in the Neptune app](https://app.neptune.ai/o/common/org/fbprophet-integration/runs/details?viewId=standard-view\u0026detailsTab=dashboard\u0026dashboardId=Diagnostic-charts-5855c208-c4b8-4171-b065-d0e8802b1b60\u0026shortId=FBPROP-3211\u0026type=run)\n* [Run example in Google Colab](https://colab.research.google.com/github/neptune-ai/examples/blob/main/integrations-and-supported-tools/prophet/notebooks/Neptune_prophet.ipynb)\n\n## Example\n\n### Before you start\n\n- [Install and set up Neptune](https://docs.neptune.ai/setup/installation).\n- Have Prophet installed.\n\n### Installation\n\n```\n# On the command line\npip install neptune-prophet\n```\n\n### Logging example\n\n```python\n# In Python\nimport pandas as pd\nfrom prophet import Prophet\nimport neptune\nimport neptune.integrations.prophet as npt_utils\n\n# Start a run\nrun = neptune.init_run(project=\"common/fbprophet-integration\", api_token=neptune.ANONYMOUS_API_TOKEN)\n\n# Load dataset and fit model\ndataset = pd.read_csv(\n    \"https://raw.githubusercontent.com/facebook/prophet/main/examples/example_wp_log_peyton_manning.csv\"\n)\nmodel = Prophet()\nmodel.fit(dataset)\n\n# Log summary metadata (including model, dataset, forecast and charts)\nrun[\"prophet_summary\"] = npt_utils.create_summary(model=model, df=df, fcst=forecast)\n\n# Stop the run\nrun.stop()\n```\n\n## Support\n\nIf you got stuck or simply want to talk to us, here are your options:\n\n* Check our [FAQ page](https://docs.neptune.ai/getting_help).\n* You can submit bug reports, feature requests, or contributions directly to the repository.\n* Chat! In the Neptune app, click the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP).\n* You can just shoot us an email at [support@neptune.ai](mailto:support@neptune.ai).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneptune-ai%2Fneptune-prophet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fneptune-ai%2Fneptune-prophet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneptune-ai%2Fneptune-prophet/lists"}