daisylab

Python library for controlling Daisy laboratory instruments over USB serial.

daisylab discovers Daisy hardware on your serial ports, validates the connected instruments against what your code expects, and gives you a clean, per-instrument API for pumps, valves, and motion stages — with background threads handling the serial protocol for you.

Installation

pip install daisylab

Requires Python 3.9+ and pyserial 3.5+.

Quick start

import daisylab

with daisylab.connect() as lab:
    print("Found ports:", lab.ports)
    print("Instrument types:", lab.instruments_list)

    # Declare the instruments on a port, in physical order, by type code.
    group = daisylab.InstrumentGroup([10, 2])   # Peri T + Rotary Valve
    lab.add_group(group)

    pump  = group.inst[0]   # DaisyPeriT
    valve = group.inst[1]   # DaisyRotaryValve

    valve.home()
    pump.run(speed=50.0, volume=10.0, wait=True)   # 50 ml/min, 10 ml
    valve.select_port(3, wait=True)

connect() returns a DaisyInterface (usable as a context manager). Each InstrumentGroup is bound to a serial port in the order you call add_group().

Supported instruments

Instruments are declared by integer type code (the value the firmware reports during roll-call) or by a case-insensitive name substring such as "Peri T" or "gantry".

Code	Class	Hardware
1	`DaisyPeriS`	Peri pump S
2	`DaisyRotaryValve`	12-port rotary valve, 0.032″ orifice
3	`DaisySolVal`	Solenoid valve array (≤8)
4	`DaisyPistonPump`	Piston pump (1 ml)
5	`DaisyPeriPumpXL`	Peri pump XL
6	`DaisyRotaryValveXL`	12-port rotary valve, 0.052″ orifice
7	`DaisySolValXL`	Solenoid valve array XL
8	`DaisyGantry`	XY Cartesian stage
9	`DaisyZStage`	Z linear stage
10	`DaisyPeriT`	Peri pump T (6-roller)
11	`DaisyPeriP`	Peri pump P
12	`DaisyPistonPump`	Piston pump (5 ml)
13	`DaisyProcess`	Multi-channel pH/sensor
14	`DaisyMasterflow`	Dual-channel mass flow controller

Codes are assigned by the firmware Instrument ID registry and are never renumbered; a retired model leaves a gap. The registry currently reaches 17 — 15 (Peri T 3-roller), 16 (Piston 100 µL) and 17 (12-port rotary valve, 0.096″ orifice) are defined in firmware but have no class in this library yet, so such a unit enumerates as an unknown instrument. The ID is a uint16_t; 0 and 65535 (unconfigured / safe mode) are reserved and never assigned.

Peristaltic pump speed limits

Peri pumps enforce a per-model maximum motor speed. run(speed, volume) converts the requested flow (ml/min) to RPM using the current calibration and raises ValueError before sending anything if it would exceed the cap:

Model	Max RPM
Peri S / Peri P	150
Peri T / Peri Pump XL	300

The cap is calibration-aware: recalibrating the tubing shifts the ml/min ceiling but the motor is always held to its rated RPM.

Examples

Standalone, runnable scripts live in daisylab/examples/:

daisy_controller.py — universal interactive controller for any instrument
z_stage_controller.py — interactive Z-stage controller
z_stage_peri_t_sequence.py — automated dispense sequence (home → lower → pump → raise)

Each supports a --demo flag that runs against simulated hardware (no serial I/O required):

python daisylab/examples/daisy_controller.py --demo

A sample Jupyter notebook is also included in the package at daisylab/jupyter/sample.ipynb. After installing, you can find it at <site-packages>/daisylab/jupyter/sample.ipynb.

Exceptions

Every error the library raises derives from DaisyError, so a single except daisylab.DaisyError is a complete catch-all for any instrument:

DaisyTimeoutError — no OK / a BAD reply within the timeout
DaisyConnectionError — no devices found / connection failure
DaisyInstrumentMismatchError — software list ≠ hardware roll-call
DaisyValueError — invalid argument or value (e.g. speed above a pump's MAX_RPM, unknown type code, malformed device response). Also subclasses the built-in ValueError, so existing except ValueError handlers keep working.

Stopping safely

stop_all() halts every instrument across all groups (best-effort — one instrument's failure won't block the others); ports stay open so you can recover. safe_session() wraps a command sequence and stops everything if any exception propagates:

with lab.safe_session():
    pump.run(speed=50, volume=10, wait=True)
    gantry.run(100, 150, wait=True)   # if this raises, the pump is stopped
# the original exception is re-raised after the stop

lab.stop_all()          # or halt everything manually (alias: lab.emergency_stop())
group.stop_all()        # or just one group

Development

git clone https://github.com/ScalablesLab/daisy-python-library
cd daisy-python-library
pip install -e ".[test]"
pytest

The test suite is hardware-free — tests/fakes.py provides a synchronous FakeSerialManager that synthesises device replies, so the real drivers run end to end without any instruments attached.

License

Apache License 2.0 — see LICENSE. Copyright Scalables, LLC.

Release files for daisylab 0.4.0

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 daisylab 0.4.0
File	Interpreter	ABI	Platform	Reset
daisylab-0.4.0-cp314-cp314-win_amd64.whl 673.8 kB Sep 10, 2026	CPython 3.14	CPython 3.14	Windows x86-64	Details
daisylab-0.4.0-cp314-cp314-macosx_11_0_x86_64.whl 870.0 kB Sep 10, 2026	CPython 3.14	CPython 3.14	macOS 11.0+ x86-64	Details
daisylab-0.4.0-cp314-cp314-macosx_11_0_arm64.whl 836.1 kB Sep 10, 2026	CPython 3.14	CPython 3.14	macOS 11.0+ ARM64	Details
daisylab-0.4.0-cp313-cp313-win_amd64.whl 656.4 kB Sep 10, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
daisylab-0.4.0-cp313-cp313-macosx_11_0_x86_64.whl 874.4 kB Sep 10, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ x86-64	Details
daisylab-0.4.0-cp313-cp313-macosx_11_0_arm64.whl 840.8 kB Sep 10, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
daisylab-0.4.0-cp312-cp312-win_amd64.whl 662.7 kB Sep 10, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
daisylab-0.4.0-cp312-cp312-macosx_11_0_x86_64.whl 879.6 kB Sep 10, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ x86-64	Details
daisylab-0.4.0-cp312-cp312-macosx_11_0_arm64.whl 844.9 kB Sep 10, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
daisylab-0.4.0-cp311-cp311-win_amd64.whl 665.1 kB Sep 10, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
daisylab-0.4.0-cp311-cp311-macosx_11_0_x86_64.whl 794.1 kB Sep 10, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ x86-64	Details
daisylab-0.4.0-cp311-cp311-macosx_11_0_arm64.whl 765.1 kB Sep 10, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
daisylab-0.4.0-cp310-cp310-win_amd64.whl 668.4 kB Sep 10, 2026	CPython 3.10	CPython 3.10	Windows x86-64	Details
daisylab-0.4.0-cp310-cp310-macosx_11_0_x86_64.whl 810.7 kB Sep 10, 2026	CPython 3.10	CPython 3.10	macOS 11.0+ x86-64	Details
daisylab-0.4.0-cp310-cp310-macosx_11_0_arm64.whl 775.0 kB Sep 10, 2026	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
daisylab-0.4.0-cp39-cp39-win_amd64.whl 671.5 kB Sep 10, 2026	CPython 3.9	CPython 3.9	Windows x86-64	Details
daisylab-0.4.0-cp39-cp39-macosx_11_0_x86_64.whl 816.0 kB Sep 10, 2026	CPython 3.9	CPython 3.9	macOS 11.0+ x86-64	Details
daisylab-0.4.0-cp39-cp39-macosx_11_0_arm64.whl 781.5 kB Sep 10, 2026	CPython 3.9	CPython 3.9	macOS 11.0+ ARM64	Details

Total release size: 13.9 MB

Release files / daisylab-0.4.0-cp314-cp314-win_amd64.whl

Download URL	daisylab-0.4.0-cp314-cp314-win_amd64.whl
Size	673.8 kB
Tags	CPython 3.14 Windows x86-64
SHA-256 checksum How to use checksums	`d5e1bda3f39e681405875f1c2c6e4c0a51ea0c83ee16b6517cb3ec4fdadfcdd7`
BLAKE2b-256 checksum How to use checksums	`74466eac0bbee6f6e6856910279effd7bf2244931c34d9a42e37f139b52787bc`
Upload date	Sep 10, 2026
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.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp314-cp314-win_amd64.whl
SHA-256 checksum: d5e1bda3f39e681405875f1c2c6e4c0a51ea0c83ee16b6517cb3ec4fdadfcdd7 Verifying attestations

Release files / daisylab-0.4.0-cp314-cp314-macosx_11_0_x86_64.whl

Download URL	daisylab-0.4.0-cp314-cp314-macosx_11_0_x86_64.whl
Size	870.0 kB
Tags	CPython 3.14 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`f5680b41da7f922cd64bc4784fc432a1c30129f03775489830e93bea531c3a52`
BLAKE2b-256 checksum How to use checksums	`cdd3e66f75ab88b0f2843ca578f2e0251a9e4437b19cd28c5ae61a7b850c7731`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp314-cp314-macosx_11_0_x86_64.whl
SHA-256 checksum: f5680b41da7f922cd64bc4784fc432a1c30129f03775489830e93bea531c3a52 Verifying attestations

Release files / daisylab-0.4.0-cp314-cp314-macosx_11_0_arm64.whl

Download URL	daisylab-0.4.0-cp314-cp314-macosx_11_0_arm64.whl
Size	836.1 kB
Tags	CPython 3.14 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`a07bddab72425811d50b9570be676d266306bb05a1c4ea4a99e6d07a939d3adf`
BLAKE2b-256 checksum How to use checksums	`793e35910a07472dc24c965e6e97c1ef945732434fd387883b6a324f1efd97a5`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp314-cp314-macosx_11_0_arm64.whl
SHA-256 checksum: a07bddab72425811d50b9570be676d266306bb05a1c4ea4a99e6d07a939d3adf Verifying attestations

Release files / daisylab-0.4.0-cp313-cp313-win_amd64.whl

Download URL	daisylab-0.4.0-cp313-cp313-win_amd64.whl
Size	656.4 kB
Tags	CPython 3.13 Windows x86-64
SHA-256 checksum How to use checksums	`b9e5a3e28126b661dd76135b5f064e824f27bffcfbb3a054b0176054426c1adc`
BLAKE2b-256 checksum How to use checksums	`ef3c5b07f31f67b6ac06b32ab8f4f987b44d7e6ab9a4ac51bc787f1d7d4fbaa6`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp313-cp313-win_amd64.whl
SHA-256 checksum: b9e5a3e28126b661dd76135b5f064e824f27bffcfbb3a054b0176054426c1adc Verifying attestations

Release files / daisylab-0.4.0-cp313-cp313-macosx_11_0_x86_64.whl

Download URL	daisylab-0.4.0-cp313-cp313-macosx_11_0_x86_64.whl
Size	874.4 kB
Tags	CPython 3.13 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`75b76e9f50f7b5d2710d2bb5d000c42e5589641ce45afaff2b5c8da01b48b585`
BLAKE2b-256 checksum How to use checksums	`a6f65cfca65d12ec48ee85ee6ab8da409552232cc375d8ba1cc3ddaccdd1c37a`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp313-cp313-macosx_11_0_x86_64.whl
SHA-256 checksum: 75b76e9f50f7b5d2710d2bb5d000c42e5589641ce45afaff2b5c8da01b48b585 Verifying attestations

Release files / daisylab-0.4.0-cp313-cp313-macosx_11_0_arm64.whl

Download URL	daisylab-0.4.0-cp313-cp313-macosx_11_0_arm64.whl
Size	840.8 kB
Tags	CPython 3.13 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`8aca5d502992ebc1f0a80f04780c3b57f4a92f7900642b745fb915e8d9514b62`
BLAKE2b-256 checksum How to use checksums	`5563b2496c2f346f2aefe72edd1932f480bddb9e8f66b6286c52f0f99f459a2b`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp313-cp313-macosx_11_0_arm64.whl
SHA-256 checksum: 8aca5d502992ebc1f0a80f04780c3b57f4a92f7900642b745fb915e8d9514b62 Verifying attestations

Release files / daisylab-0.4.0-cp312-cp312-win_amd64.whl

Download URL	daisylab-0.4.0-cp312-cp312-win_amd64.whl
Size	662.7 kB
Tags	CPython 3.12 Windows x86-64
SHA-256 checksum How to use checksums	`36b6fddcb72d877929f41a8e00ded9988ad38ed6790c9f5f57db0e5e190f585e`
BLAKE2b-256 checksum How to use checksums	`5e855ba4492bd28927014d5e6eab5eb7b66ed50cb0230f69e27d228e0613d0b8`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp312-cp312-win_amd64.whl
SHA-256 checksum: 36b6fddcb72d877929f41a8e00ded9988ad38ed6790c9f5f57db0e5e190f585e Verifying attestations

Release files / daisylab-0.4.0-cp312-cp312-macosx_11_0_x86_64.whl

Download URL	daisylab-0.4.0-cp312-cp312-macosx_11_0_x86_64.whl
Size	879.6 kB
Tags	CPython 3.12 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`e33636d79a4700af1919bce850e5a60ebe18d43997c8b4936852f4b646fe18b8`
BLAKE2b-256 checksum How to use checksums	`2a4e4eca21841a64c0cfbfb0b1e05f6ed0502239f975f901a199e4dce8536575`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp312-cp312-macosx_11_0_x86_64.whl
SHA-256 checksum: e33636d79a4700af1919bce850e5a60ebe18d43997c8b4936852f4b646fe18b8 Verifying attestations

Release files / daisylab-0.4.0-cp312-cp312-macosx_11_0_arm64.whl

Download URL	daisylab-0.4.0-cp312-cp312-macosx_11_0_arm64.whl
Size	844.9 kB
Tags	CPython 3.12 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`98512c9eab66341a3c7815d4036d169971565baeceb0f9efeebf635a0b8d7147`
BLAKE2b-256 checksum How to use checksums	`21070057fc4ab54894e37010f81276585ce24e12a2448d310653c077c85f0120`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp312-cp312-macosx_11_0_arm64.whl
SHA-256 checksum: 98512c9eab66341a3c7815d4036d169971565baeceb0f9efeebf635a0b8d7147 Verifying attestations

Release files / daisylab-0.4.0-cp311-cp311-win_amd64.whl

Download URL	daisylab-0.4.0-cp311-cp311-win_amd64.whl
Size	665.1 kB
Tags	CPython 3.11 Windows x86-64
SHA-256 checksum How to use checksums	`88d9b2b225b54256e7de9cf66f993f5c40a5c5eadd6debe8395c8af9a3d56103`
BLAKE2b-256 checksum How to use checksums	`87ab22a3bea381f85acbd484185f9904e9063b1e4a8a4fe241a6a6ac3d498e75`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp311-cp311-win_amd64.whl
SHA-256 checksum: 88d9b2b225b54256e7de9cf66f993f5c40a5c5eadd6debe8395c8af9a3d56103 Verifying attestations

Release files / daisylab-0.4.0-cp311-cp311-macosx_11_0_x86_64.whl

Download URL	daisylab-0.4.0-cp311-cp311-macosx_11_0_x86_64.whl
Size	794.1 kB
Tags	CPython 3.11 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`9e4f61dd3e9e8bef23c44b4a87d88b62e6f7062bb8e4c2f89ff5b3e89c56a556`
BLAKE2b-256 checksum How to use checksums	`a82beb3396bd323ddc9c197a4c99ccff55212bef0e770459043ef4d739e1e5dd`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp311-cp311-macosx_11_0_x86_64.whl
SHA-256 checksum: 9e4f61dd3e9e8bef23c44b4a87d88b62e6f7062bb8e4c2f89ff5b3e89c56a556 Verifying attestations

Release files / daisylab-0.4.0-cp311-cp311-macosx_11_0_arm64.whl

Download URL	daisylab-0.4.0-cp311-cp311-macosx_11_0_arm64.whl
Size	765.1 kB
Tags	CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`c18aa9d95b0fd3866fc004b09fcd96740c9e8cd5455441fb0243402b0ff072ca`
BLAKE2b-256 checksum How to use checksums	`c03065b6b7cda09c5bbc8244f2cb6315bb7eba2f02b00017b65780e54263a584`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp311-cp311-macosx_11_0_arm64.whl
SHA-256 checksum: c18aa9d95b0fd3866fc004b09fcd96740c9e8cd5455441fb0243402b0ff072ca Verifying attestations

Release files / daisylab-0.4.0-cp310-cp310-win_amd64.whl

Download URL	daisylab-0.4.0-cp310-cp310-win_amd64.whl
Size	668.4 kB
Tags	CPython 3.10 Windows x86-64
SHA-256 checksum How to use checksums	`4bdb289109d5f2a961c4a801636536268ba7995f62ecb051797cc07667437f13`
BLAKE2b-256 checksum How to use checksums	`b33d91b2f042c0814a9ae282e8baf28146db45ab608c1582a21a47d87a305b7d`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp310-cp310-win_amd64.whl
SHA-256 checksum: 4bdb289109d5f2a961c4a801636536268ba7995f62ecb051797cc07667437f13 Verifying attestations

Release files / daisylab-0.4.0-cp310-cp310-macosx_11_0_x86_64.whl

Download URL	daisylab-0.4.0-cp310-cp310-macosx_11_0_x86_64.whl
Size	810.7 kB
Tags	CPython 3.10 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`72cae547caf15e8fc221637577747208491c6a4a9ac8c1b38287799b7c1aa2fc`
BLAKE2b-256 checksum How to use checksums	`a79e2140ead65754bc62f1ccdaa09cef3eaa0ce2269313b7552572f8cad38876`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp310-cp310-macosx_11_0_x86_64.whl
SHA-256 checksum: 72cae547caf15e8fc221637577747208491c6a4a9ac8c1b38287799b7c1aa2fc Verifying attestations

Release files / daisylab-0.4.0-cp310-cp310-macosx_11_0_arm64.whl

Download URL	daisylab-0.4.0-cp310-cp310-macosx_11_0_arm64.whl
Size	775.0 kB
Tags	CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`9708c22392b35cdc1e24bec43bf999d18aada653b643ba41bef11b9d0deca2ab`
BLAKE2b-256 checksum How to use checksums	`bcee9d0f426aa20f35255590f295b6421c4cbc6b8ab4ddfb5005159c9c4414a0`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp310-cp310-macosx_11_0_arm64.whl
SHA-256 checksum: 9708c22392b35cdc1e24bec43bf999d18aada653b643ba41bef11b9d0deca2ab Verifying attestations

Release files / daisylab-0.4.0-cp39-cp39-win_amd64.whl

Download URL	daisylab-0.4.0-cp39-cp39-win_amd64.whl
Size	671.5 kB
Tags	CPython 3.9 Windows x86-64
SHA-256 checksum How to use checksums	`2474bba747f39c0f6aecc0ffce278d954f6d8858ba111a1bfe9cbb0fd7d97c56`
BLAKE2b-256 checksum How to use checksums	`dbc3f68e9c516a414f9a2d378dc74b1ae8b03b72772a6e6c686822c8c6d4826c`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp39-cp39-win_amd64.whl
SHA-256 checksum: 2474bba747f39c0f6aecc0ffce278d954f6d8858ba111a1bfe9cbb0fd7d97c56 Verifying attestations

Release files / daisylab-0.4.0-cp39-cp39-macosx_11_0_x86_64.whl

Download URL	daisylab-0.4.0-cp39-cp39-macosx_11_0_x86_64.whl
Size	816.0 kB
Tags	CPython 3.9 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`f31e88546d78628f214273ab163a50f97e69af376e4870652651fe103d4bd740`
BLAKE2b-256 checksum How to use checksums	`7655796733c52832f75e00beed2c7bdb079cf16c4c5cee6d877d05e1218b7419`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp39-cp39-macosx_11_0_x86_64.whl
SHA-256 checksum: f31e88546d78628f214273ab163a50f97e69af376e4870652651fe103d4bd740 Verifying attestations

Release files / daisylab-0.4.0-cp39-cp39-macosx_11_0_arm64.whl

Download URL	daisylab-0.4.0-cp39-cp39-macosx_11_0_arm64.whl
Size	781.5 kB
Tags	CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`e4546ead6e9d0d824177607d876c0fd3fa8cd0c8ad0d652ee0ac53c8c56e9d0b`
BLAKE2b-256 checksum How to use checksums	`38549fb91ec818b943415d85de33479afa7880bf84e06ad9e59bf366c9030811`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/e14efa263ed71a2251acf1ce7fac0acc1119140b

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/e14efa263ed71a2251acf1ce7fac0acc1119140b/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/34509236670/attempts/1

Artifact

Subject: daisylab-0.4.0-cp39-cp39-macosx_11_0_arm64.whl
SHA-256 checksum: e4546ead6e9d0d824177607d876c0fd3fa8cd0c8ad0d652ee0ac53c8c56e9d0b Verifying attestations