Skip to main content

DAQ Data Analysis Software

Project description

DAQview

DAQview is a desktop application for viewing live and historic DAQ data from the Airborne Engineering Ltd DAQ system.

For more information and the user manual, refer to our website:

https://www.ael.co.uk/pages/daqview.html

Licensed under the GPL 3.0 license.

Installation

The recommended way to install is to use pipx to install from the published version on PyPI:

pipx install daqview

To run DAQview after installation, run daqview.

On a Linux desktop, complete installation by running daqview --install to add the application to your list of locally-installed applications.

Development Environment

First ensure poetry is installed:

pipx install poetry

Then you should be able to install all dependencies using:

poetry install

Run using:

poetry run python -m daqview

Run tests with:

poetry run pytest

Run linters with:

poetry run flake8 daqview

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

daqview-0.7.4.tar.gz (88.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

daqview-0.7.4-py3-none-any.whl (117.6 kB view details)

Uploaded Python 3

File details

Details for the file daqview-0.7.4.tar.gz.

File metadata

  • Download URL: daqview-0.7.4.tar.gz
  • Upload date:
  • Size: 88.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.1 CPython/3.10.12 Linux/5.15.0-130-generic

File hashes

Hashes for daqview-0.7.4.tar.gz
Algorithm Hash digest
SHA256 5069389296ad0d87042311ec07d624bda6ba353c56596849e7d5d4a9cdf035a2
MD5 0aae1e24bcbded1edf71f3d0fb34d2c6
BLAKE2b-256 af991a81b65c0e76347f4e5b02cc31252cd896e0df9ea1605d85d0c0585712b5

See more details on using hashes here.

File details

Details for the file daqview-0.7.4-py3-none-any.whl.

File metadata

  • Download URL: daqview-0.7.4-py3-none-any.whl
  • Upload date:
  • Size: 117.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.1 CPython/3.10.12 Linux/5.15.0-130-generic

File hashes

Hashes for daqview-0.7.4-py3-none-any.whl
Algorithm Hash digest
SHA256 858fc10d9c1716efb0eea44f6f92ff249b0b82a7eb14646dd774c23cc2e28fcc
MD5 25bac976ac6238ebf882bb527b8bab8a
BLAKE2b-256 9be9c8aeb71c1df0b5a4ea84136506b39ac6038543caf6bcd4d216359e248f3e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page