automation

pymeasure: Automate Science Experiments

Founders, automate measurement and live-plotting with pymeasure, a Python library.

From the repo · “Scientific measurement library for instruments, experiments, and live-plotting”

789 stars+1★ this week470 forksPythonGuide quality 8/10 · reviewed Jul 9Updated 10/23/2026100% free · open source
What it does

Pymeasure is a Python library that automates measurement and live-plotting for scientific instruments and experiments.

When to use it
  • •When you need to collect data from multiple instruments simultaneously
  • •When you want to visualize real-time data from an experiment
  • •When you need to automate repetitive measurement tasks
Ready-to-paste prompt
DAQ().start(lambda: agilent34461a.measure('VOLTAGE'), 10, 0.1) # measure voltage 10 times at 0.1 second intervals
Heads up: Make sure you have the necessary backend installed, such as `python -m pip install --upgrade pyvisa` or `python -m pip install --upgrade pyserial`, depending on your instrument's communication protocol
Saves to your device
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✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/pymeasure && curl -fsSL https://workflowstacks.com/api/skills/pymeasure/claude-skill -o ~/.claude/skills/pymeasure/SKILL.md
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How pymeasure: Automate Science Experiments works
Codeflow
Free to inspect

Pymeasure: Automate Science Experiments is a very large Python project (~85k lines across 331 code files, plus 201 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~85k lines · 331 code files · days to read — use, don't read
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Python
No API keys detected
Python 100%
Where to start reading
  1. 1
    README.rst
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    pyproject.toml
    Dependencies and the commands it exposes
  4. 4
    pymeasure/__init__.py
    Inside pymeasure/ — the main logic begins here
  5. 5
    examples/.gitignore
    A worked example — copy this to get going
What's in each folder
pymeasure/Core code — the actual logic318 files
docs/Documentation320 files
examples/Examples you can copy19 files
tests/Tests — proof it works203 files
.github/CI / automation (GitHub Actions)7 files
READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this month
Quick Actions
Details
Creator
pymeasure
Language
Python
Category
automation
Published
4/17/2014

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Featured on WorkflowStacks
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