Touch-friendly food pad interface for calorie tracking
Project description
nutrition-pad
Nutrition display fo local network.
If you work from home then it may make sense to have dedicated tablets (which can be cheaply obtained - nexus 10 tablets are very cheap) for food entry with a limited number of items. In my experience tools like myfitnesspal become very annoying to use over time.
The other motivation is to separate recording from calorie display. In theory you want to know calories when making decision. But it is in practice advantageous to smear the food decision making out over the day.
This is designed to work with nexus 10's
Usage
This needs a local network and a server that it can run.
You can then run nutrition-pad --host 0.0.0.0 --port 5000 and connect to it from one more more tablets.
I personally have three tablets to give me a number of of panes for recording food. And another tablet for display Updates are shared..
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nutrition_pad-1.6.0.tar.gz.
File metadata
- Download URL: nutrition_pad-1.6.0.tar.gz
- Upload date:
- Size: 16.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3db68b023e55109120d16be54f2f18c1e0f30df556b7261caa0b6c3f6ff67b60
|
|
| MD5 |
39bde933403b6350bb8f4e863d45c9bc
|
|
| BLAKE2b-256 |
0db3edb3b8636c2849306a2d5e1c2eeedd2f04fc743ce5e0fef6e7816b84029d
|
File details
Details for the file nutrition_pad-1.6.0-py3-none-any.whl.
File metadata
- Download URL: nutrition_pad-1.6.0-py3-none-any.whl
- Upload date:
- Size: 18.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
38205db5644e8eb6f25c40311fd3ac8964f98e31bcfc173804c3543a33d218a2
|
|
| MD5 |
be3e8fe7c5f66d4b494e4441db805a3a
|
|
| BLAKE2b-256 |
e5c9692ac242c2f42e032e18edcc5af9847afd584612b1acd6f4d9a29bff8606
|
