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update dashboard section of readme
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README.md

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@@ -495,6 +495,8 @@ Environment variables for your metrics can be set in the `.env` file (see [`.exa
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Visualization of the metrics and anomaly scores is a bit outside the scope of this project, but we do provide a couple of ways to visualize your metrics and anomaly scores.
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🚧 WIP: [FastHTML](https://fastht.ml/) based dashboard - initial minimal starter code in [`./dashboard/fasthtml-dashboard.py`](./dashboard/fasthtml-dashboard.py). Idea being a bot more of a full fledged app than possible using Streamlit but its early days. Help would be very much appreciated here, especially if you know how to make things look fancy :)
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### Dagster UI Plots
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Within Dagster there is the [`plot.py`](./anomstack/jobs/plot.py) job to generate some plots of your metrics and anomaly scores for quick eyeballing within the dagster UI.
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### Streamlit
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You can also use the little streamlit app in [`./dashboard.py`](./dashboard.py) to visualize your metrics and anomaly scores.
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You can also use the little streamlit app in [`./dashboard/streamlit-dashboard.py`](./dashboard/streamlit-dashboard.py) to visualize your metrics and anomaly scores.
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```bash
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# run streamlit app
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streamlit run .\dashboard.py
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streamlit run ./dashboard/streamlit-dashboard.py --server.port 8501
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```
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...Or you can run it via `make dashboard`.
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...Or you can run it via `make streamlit` or `make streamlitd` (to run as a daemon).
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<details>
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<summary>Click to see some screenshots</summary>

docs/img/streamlit1.png

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