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-2.2.2a202604222344-cp39-abi3-win_amd64.whl (3.9 MB view details)

Uploaded CPython 3.9+Windows x86-64

runtimed-2.2.2a202604222344-cp39-abi3-manylinux_2_39_x86_64.whl (6.0 MB view details)

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

runtimed-2.2.2a202604222344-cp39-abi3-macosx_11_0_arm64.whl (3.5 MB view details)

Uploaded CPython 3.9+macOS 11.0+ ARM64

runtimed-2.2.2a202604222344-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-2.2.2a202604222344-cp39-abi3-win_amd64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604222344-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-2.2.2a202604222344-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 134bf2a8e2889c8111aebb80645ce1e106b11748235bacdc622be99e0fd779bb
MD5 4376bf9600e1c64e9ae111a92ac4dbf6
BLAKE2b-256 dcf738221f8530f67b835ebd02fa1432606adea0531515723edc045502e18532

See more details on using hashes here.

File details

Details for the file runtimed-2.2.2a202604222344-cp39-abi3-manylinux_2_39_x86_64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604222344-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-2.2.2a202604222344-cp39-abi3-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 f08a437c4690652b43faff2ffe648412738ba4bfc517f17f3df52f7b24626924
MD5 cd3aeca43f0e1b7e25fb28c281fad34a
BLAKE2b-256 e4e1759ea924eb40eb913aa7a8cb1f94e51d08062b2335c343a5c6aa0cd63e5a

See more details on using hashes here.

File details

Details for the file runtimed-2.2.2a202604222344-cp39-abi3-macosx_11_0_arm64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604222344-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-2.2.2a202604222344-cp39-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a956e3900d65f92d495a801f5f724f7d8551bbdef152f89e78e72fff6df57c6a
MD5 0f572935622986c38368647ed2a3708e
BLAKE2b-256 4fe09dff7d77c402c8f2150d28a5670b3e2c87e96b7cc674b0fb165e77627269

See more details on using hashes here.

File details

Details for the file runtimed-2.2.2a202604222344-cp39-abi3-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: runtimed-2.2.2a202604222344-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-2.2.2a202604222344-cp39-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 17922c7ba2e596a259b150b73467d82e444265a28699f5922df143798e86321c
MD5 6f2925fa804871bccb4cf9d5a8b525e5
BLAKE2b-256 b996d9ef31521157e6e9f72d9f88596622a4c1112cf148b9a18b2752c05af207

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