A suite of tools to help collecting NMEA0183 and other marine metrics in a digital logbook format
Project description
BoatBuddy
A suite of tools to help collecting NMEA0183 and other marine metrics in a digital logbook format.
Installation
Requirements: Python 3.x >= 3.5
BoatBuddy
can be installed via pip
or an equivalent via:
$ pip install BoatBuddy
From Source
You can install BoatBuddy
from source just as you would install any other Python package:
$ pip install git+https://github.com/joezeitouny/BoatBuddy.git
This will allow you to keep up to date with development on GitHub:
$ pip install -U git+https://github.com/joezeitouny/BoatBuddy.git
Features
- Ability to generate Excel and / or CSV logs
- Generate GPX file with GPS coordinates combined with timestamps
- Ability to generate a summary log for each session
- Sessions can be tied by the NMEA server, Victron system availability or by a specified time interval
Usage
$ python -m BoatBuddy --config=CONFIGURATION_FILENAME [options]
Where CONFIGURATION_FILENAME points to the file where the JSON configuration file is located on your system.
For the full list of available options
$ python -m BoatBuddy --help
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file boatbuddy-0.13.8.tar.gz
.
File metadata
- Download URL: boatbuddy-0.13.8.tar.gz
- Upload date:
- Size: 5.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7f7c0f6550ad7e2c1d8b563bc3385f04ace49cd44d7a63f59b80342b96e9f2a8 |
|
MD5 | 544146155e40273d46f2bb9d9ccc95dd |
|
BLAKE2b-256 | 86e2634266568f0b65e6ebb8c404480394cd11eb863d0a60e675afb70b356355 |
File details
Details for the file boatbuddy-0.13.8-py3-none-any.whl
.
File metadata
- Download URL: boatbuddy-0.13.8-py3-none-any.whl
- Upload date:
- Size: 5.1 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d562a519c6876ad9f8ed9b451ffab5eb60de0264c22304153045393ace28ff32 |
|
MD5 | 6237c70e7faee9887e51d0ab083938ef |
|
BLAKE2b-256 | 81945e20b4b11ecff15a2c0a0f66032bb41e36ff9157c74e829dab28707ab37a |