PyLabRobot
Use PyLabRobot's hardware-agnostic frontends, resource tree, trackers, and
device-specific backends to develop laboratory automation. Default to local
manifest validation, bookkeeping, and the software-only chatterbox backend.
Verified snapshot
- PyPI stable:
PyLabRobot==0.2.1, released 2026-03-23.
- Upstream requirement: Python >=3.9. This skill uses Python 3.11 for its
reproducible smoke tests.
/stable/ documentation identifies itself as 0.2.1. /dev/ and repository
main describe unreleased work and must not be assumed available in 0.2.1.
- Stable liquid-handler backends include
STARBackend, VantageBackend,
EVOBackend, OpentronsOT2Backend, and the offline
LiquidHandlerChatterboxBackend.
- PyLabRobot's GitHub Releases page has no 0.2.x software release entry; use
the PyPI history,
v0.2.1 tag, and changelog as release evidence.
Non-negotiable hardware boundary
Never connect to, initialize, home, move, heat, shake, spin, pump, open/close,
or otherwise command physical equipment automatically. Do not turn a simulation
plan into a live backend merely by changing an environment variable, config
value, or import.
Before any separately authorized live run, require a trained human to:
- Explicitly confirm the exact backend, device identity, firmware, transport,
deck, and protocol revision.
- Reconcile the physical deck against the resource tree, including carriers,
adapters, lids, plates, tip racks, waste, labware orientation, barcodes, and
every occupied coordinate.
- Verify calibration, teaching, motion envelopes, collision risks, gripper or
channel clearances, and all aspiration/dispense coordinates.
- Review source identity and actual fill volume, dead volume, destination
capacity, tip type/capacity/filter compatibility, channel mapping, units,
heights, rates, liquid class, blowout/mixing, and contamination boundaries.
- Confirm guards, doors, waste capacity, containment, emergency stop readiness,
PPE, biosafety/chemical controls, and a safe abort/recovery procedure.
- Approve a slow dry run or nonhazardous commissioning run when anything is
new or changed.
Tracker state is bookkeeping, not sensing. It cannot prove that liquid or a
tip is physically present. The Visualizer renders resource/tracker events; it
does not model physics. Chatterbox prints planned operations; it does not prove
calibration, reachability, collision freedom, liquid behavior, or device state.
Required intake
Do not guess any of these:
- Exact device model, installed options, firmware, computer/OS, and transport.
- Stable PyLabRobot version and required extras.
- Deck/deck origin, carriers, adapters, resource definitions, dimensions,
coordinates, orientations, and motion clearances.
- Plate/tube/reservoir capacities and dead volumes; initial physical volumes.
- Tip model, filter, fitting, capacity, rack state, channel count, and channel
mapping.
- Transfer units (
uL, mm, uL/s, s), heights, rates, mixing, air gaps,
blowout, liquid properties, and validated vendor liquid class.
- Contamination policy, controls, waste handling, operator interventions,
acceptance criteria, and recovery procedure.
If information is missing, produce an assumptions/blockers list and an offline
draft only.
Reproducible install
For offline API inspection and chatterbox simulation:
uv venv --python 3.11 .venv-pylabrobot
uv pip install --python .venv-pylabrobot/bin/python "PyLabRobot==0.2.1"
On Windows, use .venv-pylabrobot\Scripts\python.exe. Do not install hardware
extras until the user names the device and explicitly approves its transport
dependencies. Then inspect the matching stable device page before considering a
pin such as "PyLabRobot[serial]==0.2.1" or "PyLabRobot[usb]==0.2.1".
Offline-first workflow
Run from the repository root. Every bundled CLI uses strict, bounded UTF-8
JSON/CSV, local non-symlink paths, fixed allowlists, and JSON output. None can
select a live backend.
python3 skills/pylabrobot/scripts/validate_manifest.py \
--input tests/pylabrobot/fixtures/protocol_manifest.json
python3 skills/pylabrobot/scripts/check_deck_geometry.py \
--input tests/pylabrobot/fixtures/protocol_manifest.json
python3 skills/pylabrobot/scripts/plan_transfers.py \
--manifest tests/pylabrobot/fixtures/protocol_manifest.json \
--transfers tests/pylabrobot/fixtures/transfers.csv
python3 skills/pylabrobot/scripts/generate_simulation_plan.py \
--manifest tests/pylabrobot/fixtures/protocol_manifest.json \
--transfers tests/pylabrobot/fixtures/transfers.csv
python3 skills/pylabrobot/scripts/inspect_backends.py \
--expected-version 0.2.1 --strict
The geometry checker uses conservative static axis-aligned boxes; it is not a
motion planner. The transfer planner requires one new tip per row and checks
source/dead/destination volumes, tip capacity, wells, channels, heights, rates,
units, and allowlists. Review
assets/protocol-manifest.schema.json and the synthetic fixtures before making
a project-specific manifest.
Verified software-only example
The exact backend below is software-only. Do not substitute a hardware backend.
from pylabrobot.liquid_handling import LiquidHandler
from pylabrobot.liquid_handling.backends import LiquidHandlerChatterboxBackend
from pylabrobot.resources import (
Cor_96_wellplate_360ul_Fb,
PLT_CAR_L5AC_A00,
TIP_CAR_480_A00,
hamilton_96_tiprack_1000uL_filter,
set_tip_tracking,
set_volume_tracking,
)
from pylabrobot.resources.hamilton import STARLetDeck
set_tip_tracking(True)
set_volume_tracking(True)
deck = STARLetDeck()
tip_carrier = TIP_CAR_480_A00(name="tip_carrier")
tips = hamilton_96_tiprack_1000uL_filter(name="tips")
tip_carrier[0] = tips
plate_carrier = PLT_CAR_L5AC_A00(name="plate_carrier")
source = Cor_96_wellplate_360ul_Fb(name="source")
destination = Cor_96_wellplate_360ul_Fb(name="destination")
plate_carrier[0] = source
plate_carrier[1] = destination
deck.assign_child_resource(tip_carrier, rails=3)
deck.assign_child_resource(plate_carrier, rails=15)
source.get_well("A1").tracker.set_volume(100.0) # planned state, not sensing
lh = LiquidHandler(backend=LiquidHandlerChatterboxBackend(), deck=deck)
await lh.setup() # safe here only because the backend above is software-only
try:
await lh.pick_up_tips(tips["A1"])
await lh.aspirate(source["A1"], vols=[10.0])
await lh.dispense(destination["A1"], vols=[10.0])
await lh.return_tips()
finally:
await lh.stop()
API rules that prevent stale code
- Current names are
STARBackend, VantageBackend, EVOBackend, and
OpentronsOT2Backend; do not use stale STAR, TecanBackend,
OpentronsBackend, or ChatterboxBackend imports.
- Use
LiquidHandlerChatterboxBackend for generic offline liquid-handler
testing. ChatterBoxBackend is a separate legacy-named export; do not
conflate the two.
Visualizer(resource=...) is valid, followed by await vis.setup() and
await vis.stop(); it starts localhost HTTP/WebSocket servers and may open a
browser.
- There is no generic
from pylabrobot.liquid_handling import LiquidClass in
0.2.1. Stable liquid classes are vendor-specific, for example
pylabrobot.liquid_handling.liquid_classes.hamilton.HamiltonLiquidClass.
- Most frontend methods are async. Backend kwargs and capabilities are
vendor/model specific; a shared frontend does not imply identical behavior.
References
- Liquid handling — operations, tips, tracking,
liquid classes, units, and validation.
- Resources — decks, coordinates, plates, tip racks,
collisions, state, and serialization.
- Hardware backends — verified names,
support levels, capabilities, and live-run gate.
- Analytical equipment — plate readers
and scales.
- Material handling — pumps, heaters,
shakers, temperature control, storage, and centrifuges.
- Visualization — chatterbox, Visualizer,
localhost services, and simulation limits.
Dated upstream sources
Checked 2026-07-23: