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Pre-release

This release is a pre-release and may not be stable for production use.

Vpod Python SDK

A lightweight, portable sandbox that gives an untrusted process an instant Linux environment.

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It uses a RISC‑V architecture and runs entirely inside WebAssembly.

  • Fast startup : Boot in under a second.
  • Portable : Runs anywhere without any setup required.
  • Isolated : All execution state stays inside the WASM sandbox.

Installation

pip install vpod

Usage

Persistent session (Recommended)

All calls share the same running sandbox. Using a context manager (with) automatically cleans up resources when done:

from vpod import Sandbox

with Sandbox.create() as sbx:
    sbx.commands.run("export FOO=bar")
    sbx.commands.run("touch /tmp/data.csv")

    result = sbx.commands.run("echo $FOO")
    print(result.stdout)  # bar

Python REPL

Run Python code with persistent state across calls. Variables and imports persist for the lifetime of the session.

from vpod import Sandbox

with Sandbox.create() as sbx:
    sbx.code.run("import requests")
    sbx.code.run("data = [1, 2, 3]")
    result = sbx.code.run("print(sum(data))")
    print(result.text)  # 6

Advanced Configuration

You can mount local directories into the sandbox and specify which snapshot to use.

from vpod import Sandbox

# Mount a local workspace and use a snapshot with pre-installed data science tools
mounts = {"workspace": "/workspace:rw"}

with Sandbox.create(snapshot="vsnap-data", mounts=mounts) as sbx:
    sbx.code.run("import pandas as pd")
    sbx.code.run("print('Pandas is ready!')")

Suspend & Resume

Pause a running sandbox and resume it later — no daemon, no background process. Only dirty memory pages are saved, making it fast and storage-efficient.

from vpod import Sandbox

with Sandbox.create() as sbx:
    sbx.commands.run("uv pip install --system requests")
    instance_id = sbx.suspend()

# Later (even from a new process):
sbx = Sandbox.resume(instance_id)
sbx.code.run("import requests; print(requests.__version__)")
Method Description
sandbox.suspend() Suspend to disk, returns instance ID
Sandbox.resume(id) Resume a suspended instance
Sandbox.list_instances() List all instances
Sandbox.destroy(id) Delete a suspended instance from disk

Shell commands (stateless)

If you just need a quick one-off execution without preserving state:

from vpod import Sandbox

sbx = Sandbox.create()
result = sbx.commands.run("echo hello")
print(result.stdout)    # hello
sbx.close()             # Clean up the sandbox process

Snapshots

The first call to Sandbox.create() downloads the snapshot and caches it locally. Subsequent calls use the cache instantly.

To pre-download (e.g. in a Dockerfile or CI setup):

from vpod import snapshots

for s in snapshots.catalog():
    print(s["name"], s["tag"])

snapshots.pull("alpine:latest")

Available Snapshots

Name Tag Description Memory Limit (RAM)
alpine 3.23.0 Minimal Alpine Linux snapshot. 256 MB
vsnap-base 0.1.0 Alpine-based general-purpose snapshot with Python. 256 MB
vsnap-base-512mb 0.1.0 Same as vsnap-base with more memory headroom, for web servers and larger installs. 512 MB
vsnap-data 0.1.0 Alpine-based snapshot with numpy, pandas, and scipy. 512 MB

Documentation

Visit the Vpod documentation for the full guide and API reference. To report issues or contribute, head to the main GitHub repository.

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