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-2.2.2a202604230932-cp39-abi3-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.9+Windows x86-64

runtimed-2.2.2a202604230932-cp39-abi3-manylinux_2_39_x86_64.whl (6.0 MB view details)

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

runtimed-2.2.2a202604230932-cp39-abi3-macosx_11_0_arm64.whl (3.5 MB view details)

Uploaded CPython 3.9+macOS 11.0+ ARM64

runtimed-2.2.2a202604230932-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-2.2.2a202604230932-cp39-abi3-win_amd64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604230932-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-2.2.2a202604230932-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 6fd918feb015bbaca6a1e52bb38872ef0019ba2f23dab14b1157d59f9e972333
MD5 3141f61416314c1c3aa03cda0df25c71
BLAKE2b-256 0da56e63afe6daac0145ecc9372eb9aa9f2c300f60eb347a970dda746d82cfb7

See more details on using hashes here.

File details

Details for the file runtimed-2.2.2a202604230932-cp39-abi3-manylinux_2_39_x86_64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604230932-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-2.2.2a202604230932-cp39-abi3-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 3bcbab9c73b89cb3d6346b186ad6aa9e98e2df63e7049db6a3efa2773ab8c9c6
MD5 0ba7144a45d24356acc9f334edae209d
BLAKE2b-256 6fbbd0880a080b1d599eee893ee05785f7ad561ad1019cd557045f9a8c1897ca

See more details on using hashes here.

File details

Details for the file runtimed-2.2.2a202604230932-cp39-abi3-macosx_11_0_arm64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604230932-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-2.2.2a202604230932-cp39-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f974859263aa741df279516d4b177811c2e75efa6469ecee87ec1202b83f3189
MD5 7dd28860bd711db5d3e30138da832326
BLAKE2b-256 1f4fc5623d6706f69b2eb1aea57926ad817363ea3e35a00b984e8ab4ccbe593f

See more details on using hashes here.

File details

Details for the file runtimed-2.2.2a202604230932-cp39-abi3-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604230932-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-2.2.2a202604230932-cp39-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 ffe9182d73cd949cf3e6dd6ee4e54a24524cba3264ae755c3881a9a669d0564c
MD5 4ee00b10c6f24e3d678abae22cf78b61
BLAKE2b-256 3165f4c82d1544de5a1dd2bad8b2e167850ff4b1c2aaa38a220a0e42fdd207ab

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