Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

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 --pre runtimed
# or: uv pip install --prerelease allow runtimed

Only pre-release wheels are being published while the library surface settles. The stable channel is frozen at the last-shipped release; the --pre channel tracks the nightly desktop app and discovers the nightly daemon socket automatically. See #2217 for context.

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')")
    execution = await cell.execute()
    result = await execution.result()
    print(execution.execution_id)  # durable execution UUID
    print(result.stdout)  # "hello\n"
    recovered = await client.get_execution_result(execution.execution_id)
    print(recovered.stdout)

    # 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")
    execution = await cell.execute()
    await execution.result()

    # 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)
    if notebook.runtime.kernel.status == runtimed.KERNEL_STATUS.IDLE:
        print("kernel is idle")

    # 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 crates/runtimed/AGENTS.md for architecture and Python binding usage.

Metadata

Release files for runtimed 2.7.7a202609040905

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for runtimed 2.7.7a202609040905
File
runtimed-2.7.7a202609040905-cp39-abi3-win_amd64.whl CPython 3.9 abi3 Windows x86-64 Details
runtimed-2.7.7a202609040905-cp39-abi3-manylinux_2_39_x86_64.whl CPython 3.9 abi3 Linux glibc 2.39+ x86-64 Details
runtimed-2.7.7a202609040905-cp39-abi3-macosx_11_0_arm64.whl CPython 3.9 abi3 macOS 11.0+ ARM64 Details
runtimed-2.7.7a202609040905-cp39-abi3-macosx_10_12_x86_64.whl CPython 3.9 abi3 macOS 10.12+ x86-64 Details

Total release size: 21.0 MB

Release files / runtimed-2.7.7a202609040905-cp39-abi3-win_amd64.whl

Download URL runtimed-2.7.7a202609040905-cp39-abi3-win_amd64.whl
Size 4.4 MB
Tags CPython 3.9 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
1a8b526f4fd2ed096b905e20cf4a15e602a13cd732479e2517e37f35005d47f9
BLAKE2b-256 checksum
How to use checksums
e64366132d911c0566671e11d1c28d807c5fecd78675690918607c06ba86e463
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.9 {"installer":{"name":"uv","version":"0.12.9","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}

Release files / runtimed-2.7.7a202609040905-cp39-abi3-manylinux_2_39_x86_64.whl

Download URL runtimed-2.7.7a202609040905-cp39-abi3-manylinux_2_39_x86_64.whl
Size 7.1 MB
Tags CPython 3.9 Linux glibc 2.39+ x86-64 abi3
SHA-256 checksum
How to use checksums
cf02e14ca63029c6ff93e5cfdf338332a16ffbe5c4e93e31386a7122ca816148
BLAKE2b-256 checksum
How to use checksums
684c396747e3d081dbe510d44aedd36d43bd51a2a208e8977ccbc4f3f0042d70
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.9 {"installer":{"name":"uv","version":"0.12.9","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}

Release files / runtimed-2.7.7a202609040905-cp39-abi3-macosx_11_0_arm64.whl

Download URL runtimed-2.7.7a202609040905-cp39-abi3-macosx_11_0_arm64.whl
Size 4.8 MB
Tags CPython 3.9 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
289fa72c716a8387d6a6a70d843929755cfc0567a02681cb8d7a4c9f491093cf
BLAKE2b-256 checksum
How to use checksums
3a3f13f25daf79431c234ea82e0d3a4b1456c46b39f481e4025350a4875dd5b4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.9 {"installer":{"name":"uv","version":"0.12.9","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}

Release files / runtimed-2.7.7a202609040905-cp39-abi3-macosx_10_12_x86_64.whl

Download URL runtimed-2.7.7a202609040905-cp39-abi3-macosx_10_12_x86_64.whl
Size 4.6 MB
Tags CPython 3.9 abi3 macOS 10.12+ x86-64
SHA-256 checksum
How to use checksums
9cb1a160cec56780aec0a548e142079779aa2b1b8c6a4ebd0d4ea647eb8b1a10
BLAKE2b-256 checksum
How to use checksums
4f55474252da68433b6f3f87302e74e5bb8541322c0c8eaca697e430acd9b59d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.9 {"installer":{"name":"uv","version":"0.12.9","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}

Security for runtimed 2.7.7a202609040905

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page