NotebookPipeline
Daily reporting on autopilot
Build the analysis once in a collaborative notebook, then schedule it as a pipeline so the morning report lands in your team's inbox every day.
Talk to your finance data, build models, deploy internal apps and automate recurring reports — all from one platform connected to the systems your team already trusts.
See how it worksAsk your accounts, transactions and market data in plain language
From notebook to internal app for treasury, controlling and ops
Schedule recurring reports, validation checks and data refreshes
From asking a question to shipping an internal app, MINEO covers the full journey — connected to the data your finance team already trusts.
Connect any datasource — accounts, transactions, market data, ledger — and start asking questions in natural language. Threads auto-generates SQL, runs code, and delivers answers with interactive charts and tables. Build custom AI assistants with the model of your choice.
Threads · Finance analysis { "tool": "jira-mcp", "action": "create_task", "summary": "Create a ticket for the trading team to investigate" }
via jira-mcp · just now
More than Jupyter. MINEO Notebooks combine code, AI assistant cells, interactive widgets and visual tools in one collaborative environment. Perfect for analysts, quants and risk modellers — write Python, explore your data, and deploy as live apps from the same notebook.
File View Block Kernel Help 
Compare evolution across regions and business lines.
df = mineo.query("SELECT region, SUM(revenue) FROM accounts GROUP BY region")
px.bar(df, x="region", y="revenue", title="Q4 Revenue")
Key insight: North America drives 43% of total revenue. APAC showed the strongest growth at +23% QoQ, driven by expansion in Japan and Australia.
df.sort_values("revenue", ascending=False).head()
| Region | Revenue | Growth |
|---|---|---|
| North America | $1.8M | +12% |
| Europe | $1.1M | +8% |
| APAC | $820K | +23% |
| LATAM | $480K | -3% |
Turn notebooks into always-on dashboards and interactive applications for treasury, controlling, risk and operations. Deploy with Streamlit, Gradio, Dash and 6+ more frameworks. Custom domains, white-label branding and embeddable visualizations — ready for your stakeholders.
Mineo · Finance dashboard Last updated: 2 minutes ago
Revenue
$3.9M
+18% vs Q3
Active accounts
1,692
+12% vs Q3
Avg ticket
$2.1K
-3% vs Q3
| Customer | Region | Revenue | Status |
|---|---|---|---|
| Acme Corp | NA | $245K | Active |
| TechFlow GmbH | EU | $182K | Active |
| Sakura Ltd | APAC | $156K | Pending |
| DataBr SA | LATAM | $98K | Active |
A complete Linux development environment accessible from your browser. Install any package, any tool — Claude Code, Codex, Gemini CLI. Build your finance models with the libraries you trust, connect to your datasources and collaborate with your team. No local setup required.
VS Code — Dev Environment Explorer
import streamlit as st
from mineo import DataSource
import plotly.express as px
st.set_page_config(layout="wide")
st.title("Finance Dashboard")
ds = DataSource("finance_db")
df = ds.query("SELECT * FROM transactions")
# Layout
col1, col2 = st.columns(2)
col1.metric("Revenue", f"${df.amount.sum():,.0f}")
col2.metric("Accounts", f"{df.account_id.nunique():,}")
# Charts
fig = px.bar(df, x="month", y="amount", color="region")
st.plotly_chart(fig, use_container_width=True)
mineo-dev@workspace:~/project$
Successfully installed plotly-5.22 scikit-learn-1.5
Your app is live at https://finance-dashboard.mineo.app
✓ Deployed successfully
Chain notebooks into production workflows. Schedule recurring runs with cron, trigger via REST API, and monitor execution in real time. From daily data refreshes to recurring reports — build reliable workflows without infrastructure overhead.
/ Projects / finance / Daily finance refresh Elements
Resource Config
Scheduling
API
The biggest unlocks come when MINEO's building blocks share the same logic — the same notebook becomes a daily pipeline, an internal dashboard, or an answer in a Threads conversation.
Build the analysis once in a collaborative notebook, then schedule it as a pipeline so the morning report lands in your team's inbox every day.
Analysts query treasury data conversationally with Threads while operators get the same numbers in an always-on Live App dashboard.
Prototype the model in a Cloud Dev Environment, refine it in a notebook with the team, and ship it as an internal Live App without rewriting.
Use MINEO to talk to your data, build models, deploy internal apps and automate recurring reports — all from the same workspace.