semvec/pypi-packages huggingface dataset:
beancount-chase 1.0.0
Beancount Importer for Chase CSV statements
License: MIT
Requires Python: >=3.6,<4.0
Keywords: banking,beancount,cli-accounting,finance

# Beancount Chase Bank Importer

[![GitHub Workflow Status](https://img.shields.io/github/workflow/status/ArthurFDLR/beancount-chase/beancount-chase)](https://github.com/ArthurFDLR/beancount-chase/actions)
[![PyPI](https://img.shields.io/pypi/v/beancount-chase)](https://pypi.org/project/beancount-chase/)
[![PyPI - Version](https://img.shields.io/pypi/pyversions/beancount-chase.svg)](https://pypi.org/project/beancount-chase/)
[![GitHub](https://img.shields.io/github/license/ArthurFDLR/beancount-chase)](https://github.com/ArthurFDLR/beancount-chase/blob/master/LICENSE.txt)
[![Linting](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

`beancount-chase` is a [Beancount](http://furius.ca/beancount/) importer for [Chase Bank](https://www.chase.com/) CSV statements.

## Installation

```console
    $ pip install beancount-chase
```

## Usage

```python
    CONFIG = [
        ChaseImporter(
            account='Assets:US:CB:Checking',
            expenseCat='Expenses:FIXME',    #Optional
            creditCat='Income:FIXME',       #Optional
        ),
    ]
```

## Contribution

Feel free to contribute!

Please make sure you have Python 3.6+ and [`Poetry`](https://poetry.eustace.io/) installed.

1. Git clone the repository - `git clone https://github.com/ArthurFDLR/beancount-chase`

2. Install the packages required for development - `poetry install`

3. That's basically it. You should now be able to run lint checks and the test suite - `make lint test`.
graff-gen 1.0
An overkill blog previews generator
License: MIT
Requires Python: >=3.7.0

# Graff

> An ~~Minimal~~ Overkill HTML only blog posts previews generator.

## Setup

look at `settings.toml` for example config

Set the `GRAFF_CONF` environment to the location of graff config. 

## Usage

`graff -n <Page name>` to create new blog page in posts_dir.

`graff -g` to generate previews.

## What needs to be done

* ~~Add `<a>` tag to the title of the previews that links to the article~~
* ~~`groff.py`: file where it calls the functions from `settings.py` and `generator.py`~~
* Error handling : ~~missing or wrong values from the settings.toml file should return an error message warranting the user and not starting generation so we need a checker in `settings.py` and also in `generator.py` in case the class of the blog previews doesn't exist or~~ the file isn't even html.
* ~~add creating new blog posts with command `new` and with chosen template~~
glitter2 0.1.1.dev5
Video scoring for behavioral experiments.
License: MIT

Glitter2
========

Video scoring for behavioral experiments.

For more information: https://matham.github.io/glitter2/index.html

To install https://matham.github.io/glitter2/installation.html

.. image:: https://img.shields.io/pypi/pyversions/glitter2.svg
    :target: https://pypi.python.org/pypi/glitter2/
    :alt: Supported Python versions

.. image:: https://img.shields.io/pypi/v/glitter2.svg
    :target: https://pypi.python.org/pypi/glitter2/
    :alt: Latest Version on PyPI

.. image:: https://coveralls.io/repos/github/matham/glitter2/badge.svg?branch=master
    :target: https://coveralls.io/github/matham/glitter2?branch=master
    :alt: Coverage status

.. image:: https://github.com/matham/glitter2/workflows/Python%20application/badge.svg
    :target: https://github.com/matham/glitter2/actions
    :alt: Github action status


-------

*Development note*: The video guide is generated from metadata by `narakeet <narakeet.com/>`_ and
hosted on `YouTube <https://matham.github.io/glitter2/guide.html>`_.
The images and video are not included in the master branch because they are big and once included
cannot be removed from history, resulting in a very large repo.

Instead, these videos and images are stored in a docs branch. This branch can be deleted or
re-created as needed with new videos, so we don't have to worry about large binary files in that
branch.