This may one day be a something truly great.
pip install -r requirements.txt
export FLASK_ENV=development
flask run
This is (currently) a personal project to play around and satisfy my own everyday needs and intellectual curiosity. Who knows what will become of it?
Add a CLI-command to get quotes for securities in the database.
piecash claims to support that, but I haven't found out how.
See: https://flask.palletsprojects.com/en/2.0.x/cli/#custom-commands
enhancement backendOutput of gnucash-web commodities update_prices on my uberspace on Wed, 28 Dec 2022 23:00:29 +0000:
New price for L4K3.DE: €[email protected] -> €[email protected]
Traceback (most recent call last):
File "/home/joshua/gnucash_web/ENV/bin/gnucash-web", line 8, in <module>
sys.exit(cli())
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/click/core.py", line 1128, in __call__
return self.main(*args, **kwargs)
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/flask/cli.py", line 600, in main
return super().main(*args, **kwargs)
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/click/core.py", line 1053, in main
rv = self.invoke(ctx)
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/click/core.py", line 1659, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/click/core.py", line 1659, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/click/core.py", line 1395, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/click/core.py", line 754, in invoke
return __callback(*args, **kwargs)
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/click/decorators.py", line 26, in new_func
return f(get_current_context(), *args, **kwargs)
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/flask/cli.py", line 444, in decorator
return __ctx.invoke(f, *args, **kwargs)
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/click/core.py", line 754, in invoke
return __callback(*args, **kwargs)
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/click/decorators.py", line 26, in new_func
return f(get_current_context(), *args, **kwargs)
File "/home/joshua/gnucash_web/ENV/lib64/python3.9/site-packages/gnucash_web/commodities.py", line 117, in update_prices
f"Price for {commodity.menmonic}:"
AttributeError: 'Commodity' object has no attribute 'menmonic'
On one-handed touch devices such as smartphones, it is usually more ergonomic to have the navbar at the bottom of the screen, where the thumb usually rests.
This is also the default for the URL bar on Firefox for Android.
Possible solution ist to do the following below a certain Bootstrap breakpoint:
class="fixed-bottom".scrolled-up and .scrolled-down CSS rulesbodyEntering an expense (negative transaction value) could be more convenient, e.g. by having a "expense / income" checkbox or a small "invert" button.
enhancement frontend cosmetic responsivenessWe should add a quick explanation to the README on how to either create an empty book in an SQL database or how to migrate an existing GnuCash-XML-File into an SQL-server using the desktop client.
documentationGnuCash Web is a simple, easy to use, mobile-friendly webinterface for GnuCash intended for self-hosting.
Key features as of this release include:
This release is available on PyPI.
Source code(tar.gz)VITON-HD — Official PyTorch Implementation VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization Seunghwan Choi*1, Sunghyun Pa
xview3-kohei-solution Usage This repository assumes that the given data set is stored in the following locations: $ ls data/input/xview3/*.csv data/in
Perspective: Julia for Biologists 1. Examples Speed: Example 1 - Single cell data and network inference Domain: Single cell data Methodology: Network
ThymeBoost ThymeBoost combines time series decomposition with gradient boosting to provide a flexible mix-and-match time series framework for spicy fo
Visual Parser (ViP) This is the official implementation of the paper Visual Parser: Representing Part-whole Hierarchies with Transformers. Key Feature
FairFuzz An AFL extension to increase code coverage by targeting rare branches. FairFuzz has a particular advantage on programs with highly nested str
Differentiable SVD Introduction This repository contains: The official Pytorch implementation of ICCV21 paper Why Approximate Matrix Square Root Outpe
LoL-Runes-Recommender Para ejecutar la aplicación se debe llamar a execute_app.p
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud This repository contains a reference implementation of our Part-Aware Data Augment
ARKitScenes This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D
Discontinuous Grammar as a Foreign Language This repository includes the code of the sequence-to-sequence model for discontinuous constituent parsing
CoINN: Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels Accurate pressure drop estimat
Sparse network learning with snlpy Very large and sparse networks appear often in the wild and present unique algorithmic opportunities and challenges
yellowstone-camping UPDATE: yellowstone-camping is being expanded and renamed to camply. The updated tool now interfaces with the Recreation.gov API a
How about adding some info that can quanitfy the stress on a particular navigation route using satellite feed and can help in toll operations & traffic management The current analysis is on the satel
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight) Abstract Due to the limited and even imbalanced dat
LMFD-PAD Note This is the official repository of the paper: LMFD-PAD: Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechani
PRP Introduction This is the implementation of our paper "Video Playback Rate Perception for Self-supervised Spatio-Temporal Representation Learning".
SCCKTIM Weakly Supervised 3D Object Detection from Point Cloud with Only Image-Level Annotation Our code will be available soon. The class knowledge t
250 Jan 06, 2023
2 Jan 17, 2022
55 Dec 02, 2022
131 Jan 08, 2023
117 Dec 11, 2022
222 Nov 16, 2022
32 Dec 25, 2022
1 Jan 10, 2022
62 Jan 03, 2023
371 Jan 05, 2023
2 Apr 07, 2022
0 Jan 21, 2022
1 Apr 30, 2021
233 Jan 08, 2023
1 Feb 14, 2022
100 Sep 28, 2022
99 Dec 12, 2022
28 Dec 02, 2022
39 Dec 29, 2022
1 Nov 12, 2021