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 + Multi-Valve
    lab.add_group(group)

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

    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	`DaisyMultiValve`	12-port rotary valve
3	`DaisySolVal`	Solenoid valve array (≤8)
4	`DaisyPistonPump`	Piston pump (1 ml)
5	`DaisyPeriPumpXL`	Peri pump XL
6	`DaisyMultiValveXL`	Rotary valve XL
7	`DaisySolValXL`	Solenoid valve array XL
8	`DaisyGantry`	XY Cartesian stage
9	`DaisyZStage`	Z linear stage
10	`DaisyPeriT`	Peri pump T
11	`DaisyPeriP`	Peri pump P
12	`DaisyPistonPump`	Piston pump (5 ml)
13	`DaisyProcess`	Multi-channel pH/sensor
14	`DaisyMasterflow`	Dual-channel mass flow controller

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 0.3.16

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 0.3.16
File	Interpreter	ABI	Platform	Reset
daisylab-0.3.16-cp314-cp314-win_amd64.whl 630.5 kB Aug 20, 2026	CPython 3.14	CPython 3.14	Windows x86-64	Details
daisylab-0.3.16-cp314-cp314-macosx_11_0_x86_64.whl 819.6 kB Aug 20, 2026	CPython 3.14	CPython 3.14	macOS 11.0+ x86-64	Details
daisylab-0.3.16-cp314-cp314-macosx_11_0_arm64.whl 788.5 kB Aug 20, 2026	CPython 3.14	CPython 3.14	macOS 11.0+ ARM64	Details
daisylab-0.3.16-cp313-cp313-win_amd64.whl 614.9 kB Aug 20, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
daisylab-0.3.16-cp313-cp313-macosx_11_0_x86_64.whl 821.5 kB Aug 20, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ x86-64	Details
daisylab-0.3.16-cp313-cp313-macosx_11_0_arm64.whl 790.5 kB Aug 20, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
daisylab-0.3.16-cp312-cp312-win_amd64.whl 621.3 kB Aug 20, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
daisylab-0.3.16-cp312-cp312-macosx_11_0_x86_64.whl 826.3 kB Aug 20, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ x86-64	Details
daisylab-0.3.16-cp312-cp312-macosx_11_0_arm64.whl 794.1 kB Aug 20, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
daisylab-0.3.16-cp311-cp311-win_amd64.whl 620.6 kB Aug 20, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
daisylab-0.3.16-cp311-cp311-macosx_11_0_x86_64.whl 736.4 kB Aug 20, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ x86-64	Details
daisylab-0.3.16-cp311-cp311-macosx_11_0_arm64.whl 710.2 kB Aug 20, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
daisylab-0.3.16-cp310-cp310-win_amd64.whl 618.7 kB Aug 20, 2026	CPython 3.10	CPython 3.10	Windows x86-64	Details
daisylab-0.3.16-cp310-cp310-macosx_11_0_x86_64.whl 748.5 kB Aug 20, 2026	CPython 3.10	CPython 3.10	macOS 11.0+ x86-64	Details
daisylab-0.3.16-cp310-cp310-macosx_11_0_arm64.whl 716.6 kB Aug 20, 2026	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
daisylab-0.3.16-cp39-cp39-win_amd64.whl 622.0 kB Aug 20, 2026	CPython 3.9	CPython 3.9	Windows x86-64	Details
daisylab-0.3.16-cp39-cp39-macosx_11_0_x86_64.whl 752.9 kB Aug 20, 2026	CPython 3.9	CPython 3.9	macOS 11.0+ x86-64	Details
daisylab-0.3.16-cp39-cp39-macosx_11_0_arm64.whl 720.9 kB Aug 20, 2026	CPython 3.9	CPython 3.9	macOS 11.0+ ARM64	Details

Total release size: 13.0 MB

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Release files / daisylab-0.3.16-cp311-cp311-macosx_11_0_arm64.whl

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Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/ScalablesLab/daisy-library
Publishing commit: github.com/ScalablesLab/daisy-library/tree/fe515d526c47751941d0af2b0e9e82a147b4aa7c

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Artifact

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Release files / daisylab-0.3.16-cp310-cp310-win_amd64.whl

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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/fe515d526c47751941d0af2b0e9e82a147b4aa7c

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Artifact

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Release files / daisylab-0.3.16-cp310-cp310-macosx_11_0_x86_64.whl

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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/fe515d526c47751941d0af2b0e9e82a147b4aa7c

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Artifact

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Release files / daisylab-0.3.16-cp310-cp310-macosx_11_0_arm64.whl

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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/fe515d526c47751941d0af2b0e9e82a147b4aa7c

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Artifact

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Release files / daisylab-0.3.16-cp39-cp39-win_amd64.whl

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Upload date	Aug 20, 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/fe515d526c47751941d0af2b0e9e82a147b4aa7c

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Artifact

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Release files / daisylab-0.3.16-cp39-cp39-macosx_11_0_x86_64.whl

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Upload date	Aug 20, 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/fe515d526c47751941d0af2b0e9e82a147b4aa7c

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/fe515d526c47751941d0af2b0e9e82a147b4aa7c/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/32401385777/attempts/1

Artifact

Subject: daisylab-0.3.16-cp39-cp39-macosx_11_0_x86_64.whl
SHA-256 checksum: e871ab46851acad897647fc4ca05c1494e385f4387f2a35876c35a60e4ece098 Verifying attestations

Release files / daisylab-0.3.16-cp39-cp39-macosx_11_0_arm64.whl

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Upload date	Aug 20, 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/fe515d526c47751941d0af2b0e9e82a147b4aa7c

Workflow

Publishing configuration: github.com/ScalablesLab/daisy-library/blob/fe515d526c47751941d0af2b0e9e82a147b4aa7c/.github/workflows/wheels.yml
Publishing logs: github.com/ScalablesLab/daisy-library/actions/runs/32401385777/attempts/1

Artifact

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