semvec/pypi-packages huggingface dataset:
charmlibs-snap 0.8.1
The charmlibs.snap package.
Requires Python: >=3.8

# charmlibs-snap

The `snap` library.

To install, add `charmlibs-snap` to your Python dependencies. Then in your Python code, import as:

```py
from charmlibs import snap
```

See the [reference documentation](https://documentation.ubuntu.com/charmlibs/reference/charmlibs/snap) for more.
zelium 0.1.8
Intelligent abstraction layer over Selenium
Requires Python: >=3.9

# ZELIUM

**ZELIUM** is a web automation framework based on **Selenium**, written in **Python**, designed to **simplify, standardize, and accelerate** the creation of web automation scripts.

It is designed to:
- Reduce repetitive code
- Centralize common patterns (waits, scrolls, JS fallbacks…)
- Provide a clear and expressive API (in Spanish and English)
- Make maintenance of complex automation scripts easier

---

## 👤 Author

- 💻 GitHub: https://github.com/yup-Ivan

---

## 🎯 Main Goals

- 🧠 Intelligent abstraction over Selenium  
- 🔁 Reuse of common logic via helpers  
- 🛡️ Robustness against dynamic elements (React, Vue, etc.)  
- 🧩 Clean, readable, and consistent API  
- 🌍 Multilanguage support (aliases in Spanish / English)

---

## 📁 Project Structure

```text
zelium/
├── __init__.py   # Public API of the framework (exports and aliases)
├── alarm.py      # Handling browser alerts, confirms, and prompts
├── config.py     # Global initialization and configuration (driver, options…)
├── helpers.py    # Internal helpers (wait, find, scroll, js_click, etc.)
├── js.py         # JavaScript utilities (scroll, set_value, remove readonly…)
├── tools.py      # Reusable helper functions
└── xpath.py      # XPath element actions (click, send_keys, select…)
tonik 0.1.22
Store time series data as HDF5 files and access them through an API.
Requires Python: >=3.10

# Tonik

Tonik provides you with a solution to store and retrieve scientific time-series data as well as serving it through an API.
For visualisations, the API can serve large requests very quickly by downsampling the data to the requested resolution on demand. The API was optimised to visualise time-series and data labels with [Grafana](https://grafana.com/oss/grafana/).

## Requirements
* h5py
* datashader
* xarray
* pandas
* netcdf4
* h5netcdf
* python-json-logger
* uvicorn
* fastapi
* matplotlib (only needed to reproduce the examples in the user guide)

## Installation
```
pip install -U tonik
```

## Documentation

Learn more about tonik in its official [documentation](https://tsc-tools.github.io/tonik)

## Get in touch

Report bugs, suggest features, view the source code, and ask questions [on GitHub](https://github.com/tsc-tools/tonik/issues).