Skip to main content

PyAcquisition

pyacquisition is a powerful Python package designed to simplify the process of recording scientific data and controlling laboratory instruments. It abstracts away the complexities of instrument communication, task scheduling (both concurrent and sequential), data recording, and logging, allowing you to focus on the science. Whether you're managing a single instrument or orchestrating a complex experimental workflow, pyacquisition provides a framework that simplifies the process dramatically.

Check out the installation and getting started pages to get going.

Objectives

Be an 'all-python' solution for interfacing with instruments and automating experimental procedures. Python has become the first choice of many for data analysis and scripting. We don't want to have to learn a second language just for interfacing with hardware or generating a GUI. You need only use python (and possibly a .toml config file).

Be up and running in minutes, not hours. pyacquisition is designed to be simple and 'batteries-included'. We want to absolutely minimize your development time in all major use-cases.

Be 'one-size-fits-most'. There will inevitably be cases that are not well suited to the workflow offered by pyacquisition, but it is hoped that we can help in the majority of instances. We've tried to design for maximum flexibility whilst keeping the API reasonably simple.

Forget the GUI. User interfaces are difficult and time consuming. Writing a robust GUI in Qt may well take longer than writing the rest of your experiment and analysis code combined. pyacquisition generates the entire UI programmatically.

Offer minimal barrier to entry for those who are not advanced python users. Whilst it will be helpful to understand the basics of object oriented and asynchronous programming, getting going with pyacquisition is as simple as composing a .toml configuration file and running a two-line script. Adding custom functionality can mostly be accomplished by following some worked examples in most cases.

A Short Example

A short configuration file interfacing with a Stanford Research Instruments SR 830 lock-in amplifier:

[experiment]
root_path = "C://data"

[data]
path = "my_data_folder"

[instruments]
clock = {instrument = "Clock"}
lockin = {instrument = "SR_830", adapter = "pyvisa", resource = "GPIB0:7:INSTR"}

[measurements]
time = {instrument = "clock", method = "timestamp_ms"}
voltage = {instrument = "lockin", method = "get_x"}

A short script running the experiment from the configuration file:

from pyacquisition import Experiment

my_experiment = Experiment.from_config('my_configuration_file.toml')
my_experiment.run()

Metadata

Release files for pyacquisition 0.2.1

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

Source distribution (sdist)

Source distribution for pyacquisition 0.2.1
File Size Uploaded
pyacquisition-0.2.1.tar.gz 537.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyacquisition 0.2.1
File Interpreter ABI Platform
pyacquisition-0.2.1-py3-none-any.whl Python 3 none any Details

Total release size: 701.0 kB

Release files / pyacquisition-0.2.1.tar.gz

Download URL pyacquisition-0.2.1.tar.gz
Size 537.4 kB
Tags Source
SHA-256 checksum
How to use checksums
787f040d3a6ffbcec25a5fa7176a9f50d2b409a9b90463a9f82df7034976e72b
BLAKE2b-256 checksum
How to use checksums
161ea0ec75826466c3e5c03860ceeab7b110d6f8d33bc1d862f5effc68efd27f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.17 {"installer":{"name":"uv","version":"0.12.17","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / pyacquisition-0.2.1-py3-none-any.whl

Download URL pyacquisition-0.2.1-py3-none-any.whl
Size 163.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
86f66bf86e8e00fe2b727cba846b3ac9933ccb3d6a8dda3b6f5db273f2f5134d
BLAKE2b-256 checksum
How to use checksums
55234fd257569261a85b6564d7ef653be784424146772cc99db52188a07b0b8e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.17 {"installer":{"name":"uv","version":"0.12.17","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release history Release notifications | RSS feed

0.3.4

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

This release

0.2.1 This release

2 release files

0.2.0

2 release files

0.1.13

2 release files

0.1.12

2 release files

0.1.11

2 release files

0.1.10

2 release files

0.1.9

2 release files

0.1.8

2 release files

0.1.7

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 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