VARS GridView is a tool for reviewing and correcting VARS localizations in bulk.
Project description
vars-gridview
VARS GridView is a tool for reviewing and correcting VARS localizations in bulk.
Authors: Kevin Barnard (kbarnard@mbari.org), Paul Roberts (proberts@mbari.org)
:hammer: Installation
[!NOTE] VARS GridView requires Python 3.8 or later.
To install VARS GridView, run:
pip install vars-gridview
From source
VARS GridView is built with hatch and managed with uv. To install from source, clone the repository and run:
pip install .
:rocket: Usage
Once VARS GridView is installed, you can run it from the command line:
vars-gridview
You will first be prompted to log in. Enter your VARS username and password.
Note: If you are not using MBARI production VARS, change the "Config server" field to point to your instance of Raziel. This setting is persisted.
Credits
Icons courtesy of Font Awesome.
Copyright © 2020 Monterey Bay Aquarium Research Institute
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 vars_gridview-0.25.0.tar.gz.
File metadata
- Download URL: vars_gridview-0.25.0.tar.gz
- Upload date:
- Size: 219.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c5e59363fcd26f556f8c534fba385f806bf6e64ccb1acaaf3d60049b22bbf581
|
|
| MD5 |
3e6b361180e051cdde6cc5c4f7fd7713
|
|
| BLAKE2b-256 |
a313b32cd06e94ad025e74780310e0a5db88b4da6a8e1fc1c212eda36507955a
|
File details
Details for the file vars_gridview-0.25.0-py3-none-any.whl.
File metadata
- Download URL: vars_gridview-0.25.0-py3-none-any.whl
- Upload date:
- Size: 229.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
09c6caa4788401291402bd59331bc8007d43fd5b2a0a1f1261d7783c331dd608
|
|
| MD5 |
2466e4eb1daa7118c740cca55da862e3
|
|
| BLAKE2b-256 |
e687a93086283f48b4fa588664664607280643a4a7f81188f541132b33cf7b0e
|
