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-2.2.1a202604201228-cp39-abi3-win_amd64.whl (2.7 MB view details)

Uploaded CPython 3.9+Windows x86-64

runtimed-2.2.1a202604201228-cp39-abi3-manylinux_2_39_x86_64.whl (5.4 MB view details)

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

runtimed-2.2.1a202604201228-cp39-abi3-macosx_11_0_arm64.whl (2.7 MB view details)

Uploaded CPython 3.9+macOS 11.0+ ARM64

runtimed-2.2.1a202604201228-cp39-abi3-macosx_10_12_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.9+macOS 10.12+ x86-64

File details

Details for the file runtimed-2.2.1a202604201228-cp39-abi3-win_amd64.whl.

File metadata

  • Download URL: runtimed-2.2.1a202604201228-cp39-abi3-win_amd64.whl
  • Upload date:
  • Size: 2.7 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-2.2.1a202604201228-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 8f74bb084615100e56e4a66efed3c99b0eb641dee01f39c83890408091eb6f42
MD5 e54de77ca26eb3d0d11a4d16291eb5c4
BLAKE2b-256 466c1c74be8cd28b9d233aa73e46bdc32a04ba600ff2b0022b70d709e3a0c4bc

See more details on using hashes here.

File details

Details for the file runtimed-2.2.1a202604201228-cp39-abi3-manylinux_2_39_x86_64.whl.

File metadata

  • Download URL: runtimed-2.2.1a202604201228-cp39-abi3-manylinux_2_39_x86_64.whl
  • Upload date:
  • Size: 5.4 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-2.2.1a202604201228-cp39-abi3-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 0d689a10a21eeddc00edcd6b09f7778bb7814190dbbcd9cd9ad4e7c07037fb19
MD5 39b6b9b13c19ea40f43e5e7706ae957c
BLAKE2b-256 501f713ff551adae2e37d3000cd418e8c669b8935e6f59ceb321fbe336c96c98

See more details on using hashes here.

File details

Details for the file runtimed-2.2.1a202604201228-cp39-abi3-macosx_11_0_arm64.whl.

File metadata

  • Download URL: runtimed-2.2.1a202604201228-cp39-abi3-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 2.7 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-2.2.1a202604201228-cp39-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 34dd783d4fa9b4b3f3ced3677a531c71fee52fc8fdad2672a29cada7dc124202
MD5 8f2218ffd328f7d1b4bdafe88597941d
BLAKE2b-256 4b2643fbaae602f35643eee76c1e191fcb405af80a4c56f065a501ed4574a0c9

See more details on using hashes here.

File details

Details for the file runtimed-2.2.1a202604201228-cp39-abi3-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: runtimed-2.2.1a202604201228-cp39-abi3-macosx_10_12_x86_64.whl
  • Upload date:
  • Size: 2.7 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-2.2.1a202604201228-cp39-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 342f359b4b8efaab27c9333a22774f40bf585ada19d1795fac01776e41bb0dc8
MD5 ef111cefed043e668c617bd2de5c41c3
BLAKE2b-256 ecb1c00228ef5dbcca4a3efb41c50c2f7c1b242ad44060d23c3e7852c5aa73f6

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