Analysis to production. No rebuild required
Deploy APIs, apps, and dashboards directly from your notebook. Hot reload, live logs, and instant preview — no infrastructure required.
Deploy without leaving your workspace.
import pandas as pd df = pd.read_csv("churn.csv") df.dropna(inplace=True)
df["tenure_bin"] = pd.cut(df["tenure"], bins=5) X = df.drop(columns=["churn"]) y = df["churn"]
from xgboost import XGBClassifier model = XGBClassifier(n_estimators=100) model.fit(X, y)
One click to deploy
A new deployment tab opens instantly. No context switching, no separate platform.
As many as you need
APIs, apps, and reports running side by side in the same project.
Agent-configured
The agent selects the framework and writes the deployment code for you.
Any framework. Zero config.
Your stack, your rules
Pick any framework. Zerve handles the runtime, scaling, and cold starts.
Switchable at any time
Change frameworks without losing your DNS, environment, or variable bindings.
Agent picks for you
Describe what you want to ship and the agent selects, configures, and writes the entrypoint.
Select a framework
Your notebook outputs. In your deployment.
Load any model, chart, or dataset directly from your notebook. No rebuilding pipelines, no copying files.
variable("train_xgboost", "model")→ Model · Trained ML modelfrom zerve import variablemodel = variable("train_xgboost", "model")fig = variable("throughput_analysis", "fig")df = variable("load_data", "df")st.title("Churn Model Dashboard")st.plotly_chart(fig)st.dataframe(df)
No re-running pipelines
variable() reads outputs directly from your notebook's last run. Everything is already computed.
Any Python object
Models, DataFrames, Figures, scalars, arrays. If you produced it in a cell, you can load it.
Always in sync
Re-run a cell in your notebook and the deployment picks up the latest version automatically.
Live preview. Live logs. Zero waiting.
The moment you deploy, your app is live. Hot reload keeps it in sync as you iterate.
Hot reload in seconds
Edit app.py, save it. Your deployment reflects the change in under a second without restarting.
Web & API previews
Apps get an in-browser preview. APIs get a full HTTP playground to test endpoints live.
Streaming logs
See stdout, request logs, and errors in real time. No SSH. No log aggregators.