transports

transports moves typed models across any wire as incremental patches.

A model is defined once as a pydantic model, stdlib dataclass, or msgspec struct. A Python process hosts it and mutates it normally, and transports sends only the patch needed to update a remote mirror. The same Rust core drives Python (PyO3) and JavaScript (wasm), so both sides share the same Value type, diff, patch application, and codecs.

import transports
from pydantic import BaseModel

class Device(BaseModel):
    name: str
    on: bool = False

session = transports.Session()
lamp = Device(name="lamp")
model_id = session.host(lamp)

lamp.on = True
print(session.drain())
# [(1, {'rev': 1, 'ops': [{'Set': {'path': [{'Key': 'on'}], 'value': {'Bool': True}}}]})]

Install

pip install transports
pip install "transports[connections]"   # WebSocket server/client adapters
pip install "transports[sse]"           # Server-Sent Events adapter
pip install "transports[jupyter]"       # Jupyter comm adapter

Documentation

Tutorial

Quickstart builds one hosted model and mirrors it with the in-process server/client protocol.

How-to guides

Model bridges covers pydantic, dataclasses, msgspec, schemas, and plain JavaScript objects. Connections covers WebSocket, SSE, Jupyter comm, and anywidget adapters. Codecs covers JSON, MessagePack, and custom codecs. Multi-tenancy and sharing covers tenant isolation, shared models, and merge strategies. Pyodide covers building and loading transports in a browser.

Reference

API reference lists the Python API. Wire protocol reference describes Value, patch operations, protocol messages, codecs, and model ids. Benchmark results reports recorded server fan-out latency, completion time, and resource use.

Explanation

Concepts explains why transports uses incremental patches, server-owned revisions, a shared Rust core, and transport-agnostic adapters.

Metadata

Release files for transports 0.8.4

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

Source distribution (sdist)

Source distribution for transports 0.8.4
File	Size	Uploaded
transports-0.8.4.tar.gz	941.1 kB	Sep 17, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for transports 0.8.4
File	Interpreter	ABI	Platform	Reset
transports-0.8.4-cp314-cp314-pyemscripten_2026_0_wasm32.whl 1.1 MB Sep 17, 2026	CPython 3.14	CPython 3.14	PyEmscripten 2026.0+ WebAssembly	Details
transports-0.8.4-cp311-abi3-win_amd64.whl 1.3 MB Sep 17, 2026	CPython 3.11	abi3	Windows x86-64	Details
transports-0.8.4-cp311-abi3-manylinux_2_28_x86_64.whl 1.4 MB Sep 17, 2026	CPython 3.11	abi3	Linux glibc 2.28+ x86-64	Details
transports-0.8.4-cp311-abi3-manylinux_2_28_aarch64.whl 1.4 MB Sep 17, 2026	CPython 3.11	abi3	Linux glibc 2.28+ ARM64	Details
transports-0.8.4-cp311-abi3-macosx_11_0_arm64.whl 1.3 MB Sep 17, 2026	CPython 3.11	abi3	macOS 11.0+ ARM64	Details

Total release size: 7.5 MB

Release files / transports-0.8.4.tar.gz

Download URL	transports-0.8.4.tar.gz
Size	941.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`ac8077ed77c69ba24ee0192dacc30f55f55e82da9a9c9b74f65a4ce78b6dd735`
BLAKE2b-256 checksum How to use checksums	`ae821ec23605a56563d2dc9b3a0c8f8bf1ae251ae78aab17fc6fe64df6ccf03f`
Upload date	Sep 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.14`

Release files / transports-0.8.4-cp314-cp314-pyemscripten_2026_0_wasm32.whl

Download URL	transports-0.8.4-cp314-cp314-pyemscripten_2026_0_wasm32.whl
Size	1.1 MB
Tags	CPython 3.14 PyEmscripten 2026.0+ WebAssembly
SHA-256 checksum How to use checksums	`9dde6cb8694db5bde53999af501ee4455c3e820f68db51089ea114fc77cb04db`
BLAKE2b-256 checksum How to use checksums	`75ff6307cf3c34b1f5e4c4aacdaaa4b72a2713e400de260615d57a2f1c1e67a5`
Upload date	Sep 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.14`

Release files / transports-0.8.4-cp311-abi3-win_amd64.whl

Download URL	transports-0.8.4-cp311-abi3-win_amd64.whl
Size	1.3 MB
Tags	CPython 3.11 Windows x86-64 abi3
SHA-256 checksum How to use checksums	`5032a55b2ac279b7df5e7ddd43db3e5c2dfff327d7ddc3b6e3ec262a1dce102d`
BLAKE2b-256 checksum How to use checksums	`c1a50603ae2554cf6c8e8981ca3b29ad32c95d1eb71af0ff31325ebfc80f0398`
Upload date	Sep 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.14`

Release files / transports-0.8.4-cp311-abi3-manylinux_2_28_x86_64.whl

Download URL	transports-0.8.4-cp311-abi3-manylinux_2_28_x86_64.whl
Size	1.4 MB
Tags	CPython 3.11 Linux glibc 2.28+ x86-64 abi3
SHA-256 checksum How to use checksums	`7f76d71fe51aa753b612a801372c40e5a6c86e4a5ecb7ec7b018578ecccf2dd5`
BLAKE2b-256 checksum How to use checksums	`77782936b678bdf606b86f672de606906ff75a1d31462a008182b3024141789a`
Upload date	Sep 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.14`

Release files / transports-0.8.4-cp311-abi3-manylinux_2_28_aarch64.whl

Download URL	transports-0.8.4-cp311-abi3-manylinux_2_28_aarch64.whl
Size	1.4 MB
Tags	CPython 3.11 Linux glibc 2.28+ ARM64 abi3
SHA-256 checksum How to use checksums	`5e5125a05194318c0e40f0ebb2725fc305d2cc8918056aeda0b87d39c68c92fa`
BLAKE2b-256 checksum How to use checksums	`c9f9137291446c8c129ccdc1376dcea0cc71b31f07fff5ef0cf95e5af405ad74`
Upload date	Sep 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.14`

Release files / transports-0.8.4-cp311-abi3-macosx_11_0_arm64.whl

Download URL	transports-0.8.4-cp311-abi3-macosx_11_0_arm64.whl
Size	1.3 MB
Tags	CPython 3.11 abi3 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`ad1406beb451f9eb8caa8e6fcf91a0299b72b1d6d5be46cf9f0e91ec12237568`
BLAKE2b-256 checksum How to use checksums	`42a84eff9d431d9a4d93051d061c6eed5af6db21701a6d3b9a51d54485e60923`
Upload date	Sep 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.14`