semvec/pypi-packages huggingface dataset:
lamindb_setup 1.21.0
Setup & configure LaminDB.
Requires Python: >=3.10

[![codecov](https://codecov.io/gh/laminlabs/lamindb-setup/branch/main/graph/badge.svg)](https://codecov.io/gh/laminlabs/lamindb-setup)

# lamindb-setup: Setting up `lamindb`

- User [docs](https://lamin.ai/docs)
- Developer [docs](https://lamindb-setup-htry.netlify.app/)
InferAGNI 26.2.19
Infer planet properties using AGNI as a static structure model
Requires Python: >=3.12
Keywords: Astronomy, Exoplanets, Model-coupling

# AGNI Inference Package
Inferring planet properties using AGNI as a static structure model.

## Get started
1. Install Python 3.12 and a distribution of conda
2. `pip install -e .`
3. `inferagni infer "L 98-59 d"`

### Quick links
* AGNI repo: https://github.com/nichollsh/AGNI/
* AGNI docs: https://www.h-nicholls.space/AGNI/
* Zalmoxis docs: https://proteus-framework.org/Zalmoxis/
* Paper: https://www.overleaf.com/project/6853d410bda854791be86cd7

Available under GPLv3. Copyright (c) 2026 Harrison Nicholls.
wagtail-nhsuk-frontend 2.0.0
NHSUK Frontend Styles for Wagtail

# Wagtail NHS.UK frontend

A wagtail implementation of the [NHS frontend v10.3.1](https://github.com/nhsuk/nhsuk-frontend) standard components.

## Installation

Install the pypi package
```
pip install wagtail-nhsuk-frontend
```

Add to your `INSTALLED_APPS` in wagtail settings
```python
INSTALLED_APPS = [
  ...

  'wagtailnhsukfrontend',

  ...
]
```

Use blocks in your streamfields
```python
from wagtail.admin.panels import FieldPanel
from wagtail.models import Page
from wagtail.fields import StreamField

from wagtailnhsukfrontend.blocks import ActionLinkBlock, WarningCalloutBlock

class HomePage(Page):
  body = StreamField([
      # Include any of the blocks you want to use.
      ('action_link', ActionLinkBlock()),
      ('callout', WarningCalloutBlock()),
  ], use_json_field=True)

  content_panels = Page.content_panels + [
      FieldPanel('body'),
  ]
```

Use templatetags
```django
{% load nhsukfrontend_tags %}

<html>
...
<body>
  {% breadcrumb %}
</body>
</html>
```

Use template includes
```django
{% include 'wagtailnhsukfrontend/header.html' with show_search=True %}
```

See the [component documentation](./docs/components/) for a list of components you can use.

Include the CSS in your base template
```html
  <link rel="stylesheet" type="text/css" href="{% static 'wagtailnhsukfrontend/css/nhsuk-frontend-10.3.1.min.css' %}">
```

Include the Javascript in your base template
```html
  <script type="text/javascript" src="{% static 'wagtailnhsukfrontend/js/nhsuk-frontend-10.3.1.min.js' %}" defer></script>
```
## Upgrading

If you are upgrading from v0 to v1, see the [changelog](./CHANGELOG.md).

This CSS and JS is taken directly from the [nhsuk-frontend library](https://github.com/nhsuk/nhsuk-frontend/releases/tag/v5.1.0) and provided in this package for convenience.

If you have a more complicated frontend build such as compiling your own custom styles, you might want to [install from npm](https://github.com/nhsuk/nhsuk-frontend/blob/master/docs/installation/installing-with-npm.md) instead.

## Contributing

See the [contributing documentation](./docs/contributing.md) to run the application locally and contribute changes.

## Further reading

See more [documentation](./docs/)
reboost 0.10.3
New LEGEND Monte-Carlo simulation post-processing
Requires Python: >=3.10

# reboost

[![PyPI](https://img.shields.io/pypi/v/reboost?logo=pypi)](https://pypi.org/project/reboost/)
[![conda-forge](https://img.shields.io/conda/vn/conda-forge/reboost.svg)](https://anaconda.org/conda-forge/reboost)
![GitHub tag (latest by date)](https://img.shields.io/github/v/tag/legend-exp/reboost?logo=git)
[![GitHub Workflow Status](https://img.shields.io/github/checks-status/legend-exp/reboost/main?label=main%20branch&logo=github)](https://github.com/legend-exp/reboost/actions)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Codecov](https://img.shields.io/codecov/c/github/legend-exp/reboost?logo=codecov)](https://app.codecov.io/gh/legend-exp/reboost)
![GitHub issues](https://img.shields.io/github/issues/legend-exp/reboost?logo=github)
![GitHub pull requests](https://img.shields.io/github/issues-pr/legend-exp/reboost?logo=github)
![License](https://img.shields.io/github/license/legend-exp/reboost)
[![Read the Docs](https://img.shields.io/readthedocs/reboost?logo=readthedocs)](https://reboost.readthedocs.io)

_reboost_ is a package to post-process
[remage](https://remage.readthedocs.io/en/stable/) simulations. Post processing
is the step of applying a detector response model to the (idealised) _remage_ /
_Geant4_ simulations to ''boost" them allowing comparison to data.

_reboost_ provides tools to:

- apply a HPGe detector response model to the simulations,
- dedicated tools to generate optical maps,
- functionality to control the full post-processing chain with configuration
  files.

For more information see our dedicated
[documentation](https://reboost.readthedocs.io/en/stable/)!
jupyternotifyplus 0.4.2
Enhanced Jupyter Notebook notifications with inline and end-of-cell magic commands.
Requires Python: >=3.8

# Jupyter Notify Plus

![jupyternotifyplus](https://img.shields.io/badge/Jupyter-Notify%20Plus-blue?style=for-the-badge&logo=jupyter)

[![PyPI Version](https://img.shields.io/pypi/v/jupyternotifyplus.svg)](https://pypi.org/project/jupyternotifyplus/)
![Python Version](https://img.shields.io/badge/python-3.8%2B-blue)
![License](https://img.shields.io/badge/license-MIT-green)
![Build Status](https://github.com/cngmid/jupyternotifyplus/actions/workflows/publish.yml/badge.svg)
[![Docs](https://img.shields.io/badge/docs-online-blue)](https://cngmid.github.io/jupyternotifyplus?ref=readme)
![Downloads](https://img.shields.io/pypi/dm/jupyternotifyplus)

---

Jupyter Notify Plus enhances your notebook workflow with clean, modern inline notifications and end‑of‑cell alerts.  
It’s lightweight, intuitive, and designed to integrate seamlessly into your existing environment.

A powerful Jupyter Notebook extension that provides:

- `%notifyme` end-of-cell notifications  
- `%notifyme here` inline notifications  
- Presets: `success`, `warn`, `error`, `failure`  
- Custom icons, timestamps, and output inclusion  
- Works in classic Notebook and JupyterLab  

## Installation

```bash
pip install jupyternotifyplus
```

## Usage

```bash
%load_ext jupyternotifyplus.notifyme
```

Then:
```bash
%notifyme success
%notifyme here warn "Checkpoint reached"
```

---

## License

MIT License

Copyright (c) 2026 Daniel Cangemi

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the “Software”), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.