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VS Code — Dev Environment Explorer
import streamlit as st
from mineo import DataSource
import plotly.express as px
st.set_page_config(layout="wide")
st.title("Sales Dashboard")
ds = DataSource("sales_db")
df = ds.query("SELECT * FROM orders")
# Layout
col1, col2 = st.columns(2)
col1.metric("Revenue", f"${df.total.sum():,.0f}")
col2.metric("Customers", f"${df.customer_id.nunique():,}")
# Charts
fig = px.bar(df, x="month", y="total", color="region")
st.plotly_chart(fig, use_container_width=True)
st.dataframe(df.head(10), use_container_width=True)
mineo-dev@workspace:~/project$
Successfully installed plotly-5.22 scikit-learn-1.5
Your app is live at https://sales-dashboard.mineo.app
✓ Deployed successfully
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A cloud dev environment is valuable when it accelerates what your team is already building across the rest of MINEO.
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Technical references, implementation details and examples for teams building on MINEO.
Start with VS Code in the browser, install your tools, and build directly on top of your MINEO project.
