Skip to main content

Local execution client for Skop Labs — run Jupyter notebooks from the browser on your own machine

Project description

Skop Runner

Run Jupyter notebooks from Skop on your own machine. Skop Runner connects your local computer to the Skop workspace, letting you execute code, manage files, and use your local Python environments — all from the browser.

Installation

Requires Python 3.10+.

# Recommended (isolated install, no venv needed)
uv tool install skop-runner

# Alternative
pipx install skop-runner

# Inside a virtual environment
pip install skop-runner

uv tool and pipx install skop-runner in its own isolated environment and add the CLI to your PATH. This is the recommended approach since skop-runner is a system-wide tool, not a per-project dependency.

Bare pip install into system Python is blocked on modern macOS/Linux (PEP 668). Use pip only inside an activated virtual environment.

Quick Start

1. Get your device token

Go to skoplabs.com, open a workspace, and click Add Device in the device dropdown. Copy the token.

2. Login

skop-runner login --token <your-device-token>

3. Start the runner

skop-runner start

That's it. Open your workspace in the browser and select your device — you can now browse folders, open notebooks, and execute code on your machine.

Commands

Command Description
skop-runner login --token <token> Authenticate with Skop
skop-runner start Start the runner
skop-runner status Check authentication status
skop-runner logout Remove authentication

How It Works

Skop Runner runs a local process that:

  • Connects to the Skop relay server via WebSocket
  • Manages Jupyter kernels for notebook execution
  • Serves your local files to the browser workspace
  • Detects Python environments (venv, conda, Poetry, Pipenv, pyenv)

Your code runs entirely on your machine. Skop only relays messages between your browser and the runner.

Configuration

Config is stored in ~/.skop/config.json (created by skop-runner login).

Environment variable overrides:

  • SKOP_API_URL — API URL (default: https://skoplabs.com)
  • SKOP_WS_URL — WebSocket relay URL
  • SKOP_LOG_LEVEL — Logging level (default: INFO)

Requirements

  • Python 3.10+
  • macOS or Linux (Windows support coming soon)

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

skop_runner-0.1.21.tar.gz (291.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

skop_runner-0.1.21-py3-none-any.whl (126.2 kB view details)

Uploaded Python 3

File details

Details for the file skop_runner-0.1.21.tar.gz.

File metadata

  • Download URL: skop_runner-0.1.21.tar.gz
  • Upload date:
  • Size: 291.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.12

File hashes

Hashes for skop_runner-0.1.21.tar.gz
Algorithm Hash digest
SHA256 8da08cefe525c95e436d53526a6f5fa180c18756824264c8c79bd8cdaaaa1a1f
MD5 19cf0460f8dc9c21f4b5a2d0827782c5
BLAKE2b-256 651f9d936b95bde0aa1600c1dfa97ea07acbe86a6b8099be87309192d0c52f22

See more details on using hashes here.

File details

Details for the file skop_runner-0.1.21-py3-none-any.whl.

File metadata

File hashes

Hashes for skop_runner-0.1.21-py3-none-any.whl
Algorithm Hash digest
SHA256 acd33c53396571efbc261a0568e71b52cc638d0b69c22f3774cd55d0af46b665
MD5 19bf6d2b2f33336e95b73b7a70c9ec11
BLAKE2b-256 3fcef74de9e05f7da08e8fb09e083d79f5001466b0605611da4b47bada4161eb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page