semvec/pypi-packages huggingface dataset:
stackit-sfs 0.3.0
STACKIT File Storage (SFS)
Requires Python: <4.0,>=3.9

# stackit.sfs
API used to create and manage NFS Shares.


This package is part of the STACKIT Python SDK. For additional information, please visit the [GitHub repository](https://github.com/stackitcloud/stackit-sdk-python) of the SDK.


## Installation & Usage
### pip install

```sh
pip install stackit-sfs
```

Then import the package:
```python
import stackit.sfs
```

## Getting Started

[Examples](https://github.com/stackitcloud/stackit-sdk-python/tree/main/examples) for the usage of the package can be found in the [GitHub repository](https://github.com/stackitcloud/stackit-sdk-python) of the SDK.
qdrive 0.2.57
Dataset management and measurement library for scientific data
Requires Python: >=3.10
Keywords: dataset, qcodes, data-management, hdf5, scientific-data, measurement, xarray

# qdrive

**Dataset management and measurement library for the qHarbor data platform.**

qdrive is the Python interface for creating, managing, and syncing scientific datasets with [qHarbor](https://qharbor.nl).

## Features

- 📦 **Create & manage datasets** — Store measurements with rich metadata (tags, attributes, descriptions)
- 📁 **Multi-file support with versioning** — Attach xarray, NumPy, JSON, HDF5 or any file, with automatic version tracking
- 🔍 **Powerful search** — Filter datasets by attributes, date range, tags, or text
- ☁️ **Cloud sync** — Automatic synchronization via the sync agent
- 📊 **Measurement tools** — Built-in `do0D`, `do1D`, `do2D` sweep functions using native qHarbor format, compatible with QCoDeS parameters

## Installation

```bash
pip install qdrive
```

## Quick Start

### Log in

```python 
import qdrive
qdrive.launch_GUI()
```

### Create a dataset

```python
from qdrive import dataset

ds = dataset.create(
    'Qubit T2* measurement',
    tags=['calibration'],
    attributes={'sample': 'Q7-R3', 'fridge': 'BlueFors-1'}
)
```

### Add files to a dataset

```python
import numpy as np
import xarray as xr

# Add various file types
ds['config.json'] = {'param1': 42, 'param2': 'value'}
ds['raw_data.npz'] = np.random.rand(100, 100)
ds['measurement.hdf5'] = xr.Dataset({'signal': (['time'], np.sin(np.linspace(0, 10, 100)))})
ds['script.py'] = __file__  # Attach the current script
```

### Retrieve and access data

```python
from qdrive import dataset

ds = dataset('59c40af3-cef3-49aa-8747-64707a9b080a')  # Load by UUID

# Access files in multiple formats
xr_data = ds['measurement.hdf5'].xarray
json_data = ds['config.json'].json
```

### Search datasets

```python
from qdrive.dataset.search import search_datasets

results = search_datasets(
    search_query='T2*',
    attributes={'sample': 'Q7-R3'},
    ranking=1
)

for ds in results:
    print(ds.name, ds.uuid)
```

## Documentation

- 📖 [Full Documentation](https://docs.qharbor.nl)
- 🖥️ [DataQruiser App](https://docs.qharbor.nl/dataqruiser_releases.html) — Browse and visualize your data
- 💬 [Support](mailto:support@qharbor.nl)

## License

GPL-3.0 — © 2024-2026 QHarbor B.V. See [LICENCE](LICENCE) for details.
etiket-client 0.2.57
Python client library to interact with the eTiKeT/qHarbor platform
Requires Python: >=3.10
Keywords: etiket, qharbor, client, api, scientific-data, data-management

# Etiket Client

A Python client for interacting with the Etiket data management platform. Provides seamless access to datasets with automatic synchronization between local and remote storage.

## Installation

```bash
pip install etiket_client
```

**Requirements:** Python 3.10+

> **Note:** This is a library, not intended for direct end-user use. It serves as the backbone for QDrive

## Architecture

The client is organized into several modules:

| Module | Description |
|--------|-------------|
| `local` | Local SQLite database that mirrors part of the remote database, enabling full offline workflow for downloaded datasets |
| `python_api` | High-level API for scopes, datasets, and files |
| `remote` | HTTP client, authentication, and server communication |
| `settings` | Configuration and user preferences |
| `sync` | Synchronization logic between local and remote data |


## License

See [LICENCE](LICENCE) for details.