Skip to main content

Python toolkit for Jupyter runtimes, powered by runtimed Rust binaries

Project description

runtimed

Python bindings for the nteract runtime daemon. Execute code, manage kernels, and interact with notebooks programmatically.

Download the nteract desktop app — it ships the runtimed daemon and gives you a visual interface for your notebooks.

Using runtimed with agents? The nteract MCP server is built on runtimed and provides a ready-made agentic interface for AI assistants. It's also a great example of how to use runtimed in practice.

Installation

pip install runtimed

The stable release matches the nteract desktop stable app. If you're running the nightly desktop app, install the pre-release to match: pip install --pre runtimed (or uv pip install --prerelease allow runtimed). The nightly build automatically discovers the nightly daemon socket.

Client() and the high-level Python API use default_socket_path() by default. That helper respects RUNTIMED_SOCKET_PATH, so exported test or MCP sockets take precedence over the package's default channel.

Quick Start

All examples use await — run them inside asyncio.run(main()), a Jupyter notebook, or a Python REPL with top-level await (e.g. python -m asyncio).

import asyncio
import runtimed

async def main():
    client = runtimed.Client()
    notebook = await client.create_notebook()

    # Create and execute cells
    cell = await notebook.cells.create("print('hello')")
    result = await cell.run()
    print(result.stdout)  # "hello\n"

    # Read cell properties (sync — local CRDT replica)
    print(cell.source)      # "print('hello')"
    print(cell.cell_type)   # "code"

    # Edit cells
    await cell.set_source("x = 42")
    await cell.run()

    # Save the notebook
    path = await notebook.save_as("/tmp/my-notebook.ipynb")

asyncio.run(main())

Features

  • Document-first model with Automerge CRDT sync
  • Sync reads, async writes — reads from local replica, writes sync to peers
  • Multi-client support for shared notebooks
  • Rich output capture (stdout, stderr, display_data, errors)

API Overview

Client

client = runtimed.Client()

# Discover active notebooks
notebooks = await client.list_active_notebooks()
for info in notebooks:
    print(f"{info.name} [{info.status}] ({info.active_peers} peers)")

# Open, create, or join notebooks
notebook = await client.open_notebook("/path/to/notebook.ipynb")
notebook = await client.create_notebook(runtime="python")
notebook = await client.join_notebook(notebook_id)

If you need to target a specific release channel instead of the current process default:

import os
import runtimed

os.environ["RUNTIMED_SOCKET_PATH"] = runtimed.socket_path_for_channel("nightly")
client = runtimed.Client()

Use default_socket_path() for normal current-process behavior. Use socket_path_for_channel("stable"|"nightly") only for explicit channel targeting or cross-channel discovery because it intentionally ignores RUNTIMED_SOCKET_PATH.

Notebook

async with await client.create_notebook() as notebook:
    # Cells collection (sync reads, async writes)
    print(len(notebook.cells))
    for cell in notebook.cells:
        print(f"{cell.id[:8]}: {cell.source[:40]}")

    # Runtime state (sync read from local doc)
    print(notebook.runtime.kernel.status)

    # Runtime lifecycle
    await notebook.start(runtime="python")
    await notebook.restart()
    await notebook.interrupt()
    await notebook.save()
# Session closed automatically on exit

Cells

# Create cells
cell = await notebook.cells.create("import math")
cell = await notebook.cells.insert_at(0, "# Title", cell_type="markdown")

# Access cells
cell = notebook.cells.get_by_index(0)    # by position
cell = notebook.cells.get_by_id(cell_id) # by ID
matches = notebook.cells.find("import")  # search source

# Read properties (sync)
print(cell.source, cell.cell_type, cell.outputs)

# Mutate (async)
await cell.set_source("x = 2")
await cell.append("\ny = 3")
result = await cell.run()
await cell.delete()

Requirements

Documentation

See docs/python-bindings.md for full documentation.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

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

runtimed-2.2.2a202604212147-cp39-abi3-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.9+Windows x86-64

runtimed-2.2.2a202604212147-cp39-abi3-manylinux_2_39_x86_64.whl (6.0 MB view details)

Uploaded CPython 3.9+manylinux: glibc 2.39+ x86-64

runtimed-2.2.2a202604212147-cp39-abi3-macosx_11_0_arm64.whl (3.5 MB view details)

Uploaded CPython 3.9+macOS 11.0+ ARM64

runtimed-2.2.2a202604212147-cp39-abi3-macosx_10_12_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.9+macOS 10.12+ x86-64

File details

Details for the file runtimed-2.2.2a202604212147-cp39-abi3-win_amd64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604212147-cp39-abi3-win_amd64.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: CPython 3.9+, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for runtimed-2.2.2a202604212147-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 9089c533f11f6262cbfbf7a718e5f7fa616bd5b28b60be92d985bbe2a5d3d465
MD5 971d49db4a25b686996e3596d8fb5655
BLAKE2b-256 e71c92bc58e945b030faff40871c00a151e51b5324b7c78418b6337baa63ce01

See more details on using hashes here.

File details

Details for the file runtimed-2.2.2a202604212147-cp39-abi3-manylinux_2_39_x86_64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604212147-cp39-abi3-manylinux_2_39_x86_64.whl
  • Upload date:
  • Size: 6.0 MB
  • Tags: CPython 3.9+, manylinux: glibc 2.39+ x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for runtimed-2.2.2a202604212147-cp39-abi3-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 185281b6e414a3365f7a76566b018bb0ad0f324c99338a9ef82f8e6b76d8bde5
MD5 be53064b72a0346085f460e3ee94b381
BLAKE2b-256 7514e4e387b305054b24aba238f25d5e95a2f8aadef15ffb7ff3952be26ef83f

See more details on using hashes here.

File details

Details for the file runtimed-2.2.2a202604212147-cp39-abi3-macosx_11_0_arm64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604212147-cp39-abi3-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 3.5 MB
  • Tags: CPython 3.9+, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for runtimed-2.2.2a202604212147-cp39-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 28ff026e9ee3885933e6b354b8f5d9e1c211415f8748febebf5170ef13f41090
MD5 8e49d02a762f829edfa9e39633a6123a
BLAKE2b-256 8d58fcf3875b52dbfc9081187c07f265d7e0b9b4dad424455ba26c5fa1946bd7

See more details on using hashes here.

File details

Details for the file runtimed-2.2.2a202604212147-cp39-abi3-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604212147-cp39-abi3-macosx_10_12_x86_64.whl
  • Upload date:
  • Size: 3.5 MB
  • Tags: CPython 3.9+, macOS 10.12+ x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for runtimed-2.2.2a202604212147-cp39-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d73d5c4cb2c90a801347f0d3f76b2f7e32460837bb6308a8a5a9686d1b37069a
MD5 dcb9271dbb87cb4020308a94355ae3fc
BLAKE2b-256 f3aca6815e7c72c8bd5aa34d0c88dd5e8900d591e680ecdd2f86100ee1b8e753

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