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-2.2.1a202604191844-cp39-abi3-win_amd64.whl (2.7 MB view details)

Uploaded CPython 3.9+Windows x86-64

runtimed-2.2.1a202604191844-cp39-abi3-manylinux_2_39_x86_64.whl (5.4 MB view details)

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

runtimed-2.2.1a202604191844-cp39-abi3-macosx_11_0_arm64.whl (2.7 MB view details)

Uploaded CPython 3.9+macOS 11.0+ ARM64

runtimed-2.2.1a202604191844-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-2.2.1a202604191844-cp39-abi3-win_amd64.whl.

File metadata

  • Download URL: runtimed-2.2.1a202604191844-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-2.2.1a202604191844-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 fb8d0e40de9a6cffa1a1798d8a6bb0723533510d568a86171c08b98bab9e9e5e
MD5 9ca21921e48a2183bdff0f276e715123
BLAKE2b-256 a5fa1d1a3b930b67916466a239c7a8baba605622ea095b9abce52a60dc823a19

See more details on using hashes here.

File details

Details for the file runtimed-2.2.1a202604191844-cp39-abi3-manylinux_2_39_x86_64.whl.

File metadata

  • Download URL: runtimed-2.2.1a202604191844-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-2.2.1a202604191844-cp39-abi3-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 7096ca99cfbde25b41770fd38bd637731aaadd52f1e03b49e1396d9b2753cab3
MD5 cec34f13948f93d2f42a0441c0d45f1c
BLAKE2b-256 85d1d01b25da9144f78ad54f42c1a99a641f514597814ea0f622536b5a18da80

See more details on using hashes here.

File details

Details for the file runtimed-2.2.1a202604191844-cp39-abi3-macosx_11_0_arm64.whl.

File metadata

  • Download URL: runtimed-2.2.1a202604191844-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-2.2.1a202604191844-cp39-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5db414fb5ee4ef9a63dba99150fe8e73f7e1d9d3a1e431e9b7f10cafea1e8986
MD5 6944c6de73d8f701423bcc0715573af5
BLAKE2b-256 2e8be6f32ac480d1e17fa3af1ff9da2adc2f85300be2c58e39a90735370612d6

See more details on using hashes here.

File details

Details for the file runtimed-2.2.1a202604191844-cp39-abi3-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: runtimed-2.2.1a202604191844-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-2.2.1a202604191844-cp39-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 b1b52bd61358aac894c7ea0a87a115bae9302aa07c9ac584f2e02c91a6c99b2d
MD5 1e1782b39201d83c6949ab61063bffb0
BLAKE2b-256 8cc397628b51d416483f0886275cba73080fbcd5cc2bdf91d0f4bfd1546cb099

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