Skip to main content

hilspy

HILS (hardware-in-the-loop simulation) I/O for Python on a Rust core, built to be embedded in a scenario library (such as autoware_carla_scenario).

One call opens a channel: a transport (how packets travel) composed with a codec (what they mean). Both are pluggable, in Rust or in Python.

import hilspy

with hilspy.open("can://vcan0", "dbc:vehicle.dbc") as ecu:
    ecu.send("VehicleSpeed", {"Speed": 12.5, "Accel": 0.0, "Gear": "D", "Counter": 0})
    for msg in ecu:  # until ecu.close()
        print(msg.name, msg.fields)  # "SteeringCmd" {"SteeringAngle": -3.5, ...}
Transport URL
can://vcan0 Linux SocketCAN (?fd, ?echo, ?filter=0x100:0x700,...)
udp://host:port UDP to a peer (?bind=addr:port); udp://addr:port?listen replies to the last sender
tcp://host:port TCP client; tcp://addr:port?listen serves every connected client
mem://name in-process bus (tests, simulated ECUs in one process)
file://path replay a recording; ?write / ?append records one
Codec
raw (default) none: messages carry data (and id for CAN)
dbc:FILE CAN frames <-> DBC messages, via can-dbc (options strict, scaling, decode_choices)
sbf Septentrio Binary Format stream <-> blocks, via libsbf; encodes PVTGeodetic and AttEuler
lidar:MODEL LiDAR UDP data packets <-> point clouds: Hesai and Velodyne line-ups, described by profiles

Install

Python 3.10+. One abi3 wheel per platform serves every Python version; wheels are built for Linux (x86_64, aarch64), macOS (arm64, x86_64) and Windows x64. can:// (SocketCAN) is Linux-only; every other transport and codec works everywhere.

pip install hilspy
uv add hilspy
pip install git+https://github.com/hakuturu583/hilspy   # from source (needs Rust)

From a checkout:

uv sync                             # builds the extension with maturin
uv run pytest

Versions follow semver and are released by labelling the PR (bump patch / bump minor / bump major); see docs/releasing.md.

API

The whole public API:

Name
hilspy.open(url, codec="raw", *, clock=None, **codec_options) -> Channel open a channel (on a virtual clock with clock=)
Channel.send(message) / send(name, fields) encode and send
Channel.recv(timeout=None) -> Message | None next message (iterate the channel for all)
Channel.every(period, message_or_name, fields=None, *, duration=None) -> Periodic cyclic send from a Rust thread; update(), stop(), period, sent_count
Channel.close() also via with / async with
await Channel.asend(...), await Channel.arecv(timeout=None), async for msg in channel asyncio
hilspy.merge(*channels) (channel, message) from several buses as they arrive (for / async for)
hilspy.Message(name=None, fields=None, *, data=None, id=None, extended=None, fd=False) .name, .fields, msg["field"], .data, .id, .timestamp
hilspy.Clock(start=0.0) simulated time: advance(dt), advance_to(t), now, next_due
hilspy.register_transport(scheme, factory) / register_codec(name, factory) plugins
hilspy.Error bad URL/codec/option, encode/decode failure, closed channel

Synchronous simulation (virtual clock)

Devices that do I/O on a fixed period (cyclic CAN frames, a GNSS receiver at 10 Hz, a LiDAR streaming packets through each revolution) can run on simulated time instead of the wall clock. Open their channels with a shared hilspy.Clock; every send then happens inside clock.advance(dt), in time order, when the simulation steps past it:

clock = hilspy.Clock(start=carla_world_time)
ecu = hilspy.open("can://vcan0", "dbc:vehicle.dbc", clock=clock)
lidar = hilspy.open("udp://192.168.1.100:2368", "lidar:pandar_xt32", clock=clock)
speed = ecu.every(0.01, "VehicleSpeed", {"Speed": 0.0, "Gear": "D"})
scans = lidar.every(0.1, "scan", first_scan)

while running:
    world.tick()  # e.g. CARLA synchronous mode, 50 ms
    speed.update("VehicleSpeed", {"Speed": ego_speed(), "Gear": "D"})
    scans.update("scan", raycast_points())
    clock.advance(0.05)  # 5 speed frames, half a revolution of packets

On a clock:

  • every() sends at once, then each period as the clock passes it (no thread, nothing between steps).
  • A paced message's packets (a LiDAR revolution) go out as the clock reaches their times, so a 50 ms step sends the packets of 50 ms.
  • Messages are stamped with the clock's time. Codecs write that time (the SBF TOW, a LiDAR scan's timestamps), and received messages carry the time they arrived at.

asyncio and several buses at once

Every channel also has await ch.asend(...), await ch.arecv(timeout), async for msg in ch and async with. hilspy.merge(*channels) receives from many buses at once, yielding (channel, message) as messages arrive, with for or async for:

async with (
    hilspy.open("can://can0", "dbc:powertrain.dbc") as can0,
    hilspy.open("can://can1", "dbc:chassis.dbc") as can1,
    hilspy.open("tcp://192.168.3.1:28784", "sbf") as gnss,
    hilspy.merge(can0, can1, gnss) as buses,
):
    async for bus, msg in buses:
        if bus is gnss and msg.name == "PVTGeodetic":
            await can1.asend("GnssPosition", {"Lat": msg["latitude"], "Lon": msg["longitude"]})

Each bus is received on its own Rust thread, so awaiting never blocks the event loop and a quiet or slow bus does not delay the others. A channel has one consumer at a time: once received with arecv/async for/merge, its synchronous recv refuses.

A message with a name goes through the codec; a nameless one (Message(data=b"...", id=0x123)) is sent as is. Messages the codec does not know (a CAN id missing from the DBC) arrive nameless.

GNSS receiver simulation (SBF over TCP)

with hilspy.open("tcp://0.0.0.0:28784?listen", "sbf") as receiver:
    receiver.send(
        "PVTGeodetic", {"mode": 4, "latitude": lat_rad, "longitude": lon_rad, "height": 40.0}
    )
    receiver.send("AttEuler", {"heading": 90.0, "pitch": 0.0, "roll": 0.0})
    # tow/wnc default to the current GPS time

LiDAR (Hesai, Velodyne)

lidar:MODEL decodes a sensor's UDP data packets into point clouds, and encodes point clouds into the packets a sensor would send (to stand in for one in the loop). Sensors are profiles, not code:

Vendor Models (lidar:<name>; aliases in brackets)
Hesai pandar_40p, pandar_64, pandar_qt64, pandar_qt128, pandar_xt16, pandar_xt32, pandar_xt32m, pandar_128e3x (Pandar128), pandar_128e4x (OT128), pandar_at128
Velodyne vlp16 (Puck), vlp16_hires, vlp32c, vlp32mr, hdl32e, hdl64e, vls128 (Alpha Prime)

Names ignore case, - and _ (lidar:VLP-16, lidar:XT32).

# Driver side: one message per revolution.
with hilspy.open("udp://0.0.0.0:2368?listen", "lidar:pandar_xt32") as lidar:
    for scan in lidar:
        xyz = np.column_stack([np.frombuffer(scan[k], np.float32) for k in "xyz"])

# Sensor side: send one revolution of a simulated point cloud.
with hilspy.open("udp://192.168.1.100:2368", "lidar:vlp16") as sensor:
    sensor.send("scan", {"x": xs, "y": ys, "z": zs, "intensity": 100})

A scan has arrays (array.array, readable by numpy without copying) x, y, z (metres; x forward, y left, z up), intensity, channel, azimuth (degrees, clockwise from forward), distance, return and time (seconds after timestamp), plus timestamp, model, return_mode, rpm and packets. Sending takes x/y/z (each point goes to the channel of the nearest elevation) or distance/azimuth/channel, as lists, tuples, array.array or numpy arrays; a received scan can be sent back as is. Sending one revolution spreads its packets over the revolution's duration (100 ms at 600 rpm), as the sensor does, so a driver's socket buffer is not flooded; send returns when the last packet is out (pace=False sends them at once). Codec options: frame="packet" (a message per packet), phase (where scans start, degrees), rpm, return_mode and pace (encoding), profiles=FILE.

Profiles are protobuf messages (schema: lidar_profile.proto): packet layout, per-channel elevation / azimuth offset / firing time, return modes, timing and range. The defaults are written as text in lidar/profiles/ and committed compiled as lidar/profiles.binpb, which hilspy embeds. To describe another sensor, write a ProfileSet in text format, compile it with any protobuf tool (protoc --encode=hilspy.lidar.ProfileSet lidar_profile.proto < my_lidars.txtpb > my_lidars.binpb) and pass it with profiles="my_lidars.binpb"; it is searched before the defaults. Channel angles are nominal values from tier4/nebula's calibration files; per-unit calibration is not applied.

Plugins

A transport is any object with send(packet) and recv(timeout) (and optionally close()); a codec has encode(message) and decode(packet). Packets are nameless Messages.

class SerialTransport:
    def __init__(self, address: str, options: dict[str, str]):
        self.port = serial.Serial(address, int(options.get("baud", 115200)))

    def send(self, packet):
        self.port.write(packet.data)

    def recv(self, timeout):
        self.port.timeout = timeout
        data = self.port.read(self.port.in_waiting or 1)
        return hilspy.Message(data=data) if data else None


hilspy.register_transport("serial", SerialTransport)
gnss = hilspy.open("serial:///dev/ttyACM0?baud=921600", "sbf")

Rust crates register through hilspy_core::transport::register and hilspy_core::codec::register.

A virtual CAN interface for local testing:

sudo modprobe vcan
sudo ip link add dev vcan0 type vcan
sudo ip link set vcan0 mtu 72        # CAN FD
sudo ip link set up vcan0

Examples

uv run python examples/virtual_ecu.py                              # cyclic DBC message, in-process
uv run python examples/virtual_ecu.py --url can://vcan0
uv run python examples/gnss_simulator.py "tcp://127.0.0.1:28784?listen"
uv run python examples/gnss_simulator.py "file://sim.sbf?write" --seconds 5
uv run python examples/sbf_dump.py file://sim.sbf
uv run python examples/multi_bus.py                                # asyncio: CAN + GNSS at once

Development

uv sync                                 # build + dev dependencies (cantools for cross-checks)
cargo test -p hilspy-core               # Rust unit tests
uv run pytest                           # Python tests
HILSPY_TEST_VCAN=vcan0 uv run pytest tests/test_socketcan.py   # needs a vcan interface
uv run pre-commit run --all-files       # ruff, mypy, cargo fmt, clippy

Design notes: docs/design.md.

License

Apache-2.0

Metadata

Release files for hilspy 0.6.0

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

Source distribution (sdist)

Source distribution for hilspy 0.6.0
File Size Uploaded
hilspy-0.6.0.tar.gz 124.4 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for hilspy 0.6.0
File
hilspy-0.6.0-cp310-abi3-win_amd64.whl CPython 3.10 abi3 Windows x86-64 Details
hilspy-0.6.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 abi3 Linux glibc 2.17+ x86-64 Details
hilspy-0.6.0-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 abi3 Linux glibc 2.17+ ARM64 Details
hilspy-0.6.0-cp310-abi3-macosx_11_0_arm64.whl CPython 3.10 abi3 macOS 11.0+ ARM64 Details
hilspy-0.6.0-cp310-abi3-macosx_10_12_x86_64.whl CPython 3.10 abi3 macOS 10.12+ x86-64 Details

Total release size: 4.9 MB

Release files / hilspy-0.6.0.tar.gz

Download URL hilspy-0.6.0.tar.gz
Size 124.4 kB
Tags Source
SHA-256 checksum
How to use checksums
fc84090795ff44dd8ffc9c7643cff6bac96747dd0eed1b605451e164d3a3fd9b
BLAKE2b-256 checksum
How to use checksums
37e3371c123a8b72065cc00bc4829e1eebd75405fe0d25c668dbf7641a5deb9f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

Release files / hilspy-0.6.0-cp310-abi3-win_amd64.whl

Download URL hilspy-0.6.0-cp310-abi3-win_amd64.whl
Size 884.7 kB
Tags CPython 3.10 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
c322a5c03777c522af9ebe70d7ef6d53a776294574582cf8e3c62eb8ee3f28ae
BLAKE2b-256 checksum
How to use checksums
6816da8d8a8ab1a1e32e53958f55e9ea3c31a6ac92cabb49420b4fb629f7772a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

Release files / hilspy-0.6.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL hilspy-0.6.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.0 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64 abi3
SHA-256 checksum
How to use checksums
489d9b10d5fb080c85f3750b366bbd3d2102edbd677969f6f97b1dd127f02cd7
BLAKE2b-256 checksum
How to use checksums
72f1a99e85f1c37905f38adc80a9a1f5305fb690c4b151faace3be4f7c6bc1cd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

Release files / hilspy-0.6.0-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL hilspy-0.6.0-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 993.0 kB
Tags CPython 3.10 Linux glibc 2.17+ ARM64 abi3
SHA-256 checksum
How to use checksums
7014e189046385e721e784821d13d23aa8ca3b4711c452939a253c59d0da982c
BLAKE2b-256 checksum
How to use checksums
d2a48e39a275b0d79b464f62dc710b9592cba3ab3b784ba53a05344ff51f2e65
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

Release files / hilspy-0.6.0-cp310-abi3-macosx_11_0_arm64.whl

Download URL hilspy-0.6.0-cp310-abi3-macosx_11_0_arm64.whl
Size 913.6 kB
Tags CPython 3.10 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
c668dd5e3a6c39aa71724dec3c93337321c36fb57483c333136fbcb1badf50fe
BLAKE2b-256 checksum
How to use checksums
bd34f622eb1cee98495511caf9512f6cef395ef32c9018d3f7ecc863c4e756c9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

Release files / hilspy-0.6.0-cp310-abi3-macosx_10_12_x86_64.whl

Download URL hilspy-0.6.0-cp310-abi3-macosx_10_12_x86_64.whl
Size 936.3 kB
Tags CPython 3.10 abi3 macOS 10.12+ x86-64
SHA-256 checksum
How to use checksums
a3acee631b8221f150be06483848fd8a10abaadba6ba98d27676fc4b99ab388c
BLAKE2b-256 checksum
How to use checksums
6ea9025157e251829794b9c285311fe97884ed78f19ac000f139eaeec5aa1ae1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

Release history Release notifications | RSS feed

0.12.0

6 release files

0.11.0

6 release files

0.10.0

6 release files

0.9.0

6 release files

0.8.0

6 release files

0.7.0

6 release files

This release

0.6.0 This release

6 release files

0.5.0

6 release files

0.4.1

6 release files

0.4.0

6 release files

0.3.0

6 release files

0.2.0

6 release files

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