semvec/pypi-packages huggingface dataset:
colab-vscode-bridge 0.1.4
A utility package that fills functionality gaps in the Colab extension for VS Code. It provides helper functions for tasks not natively supported, including simplified Kaggle authentication, direct file uploads from Colab to Kaggle, and downloading small files from a Colab runtime to the local VS Code environment.
Requires Python: >=3.12
Keywords: colab, kaggle, jupyter, upload, download

```
Colab-VsCode-Bridge
```

A Python package to complete functionalities missing from the VS Code Colab extension.

## Overview

This package fills the gaps in VS Code's Colab extension by providing:

* Upload files from localhost to Colab kernel
* Download smaller files from Colab kernel to local PC
* Authenticate to Kaggle
* Upload from kernel to Kaggle datasets

## Features

* Upload local files to Colab kernel while connected via VS Code
* Download files from Colab kernel to local machine
* Kaggle authentication integration
* Upload datasets from Colab to Kaggle
* Control dataset visibility (public/private)

## Installation

```bash
pip install colab-vscode-bridge
```

## Quick Start

```python
from colab_vscode_bridge import upload_to_colab, ColabFileDownloader, authenticate_kaggle, upload_to_kaggle

# Upload local file to Colab
upload_to_colab(destination_folder='/content/data.csv')

# Download from Colab to local
ColabFileDownloader("data/my_plot.png")

# Authenticate Kaggle
authenticate_kaggle()

# Upload to Kaggle
upload_to_kaggle(
    file_path=file_path,
    dataset_slug="kaggle-dataset-slug",
    dataset_title="kaggle-dataset-title",
    public=False,
)
```

## Requirements

* Python >= 3.8
* VS Code with Colab extension
* Active connection to Colab kernel in VS Code
* Kaggle API credentials (for Kaggle features)

## Note

**Use the legacy Kaggle API token, as the Colab runtime currently uses Kaggle CLI v1.7.**

## Usage

**Read**
https://github.com/ranidz/Colab-VsCode-Bridge/blob/main/docs/useDetails.md

## Roadmap

* [X] Upload files from localhost to Colab kernel
* [X] Download files from Colab kernel to local PC
* [X] Kaggle authentication
* [X] Upload from kernel to Kaggle
* [ ] Batch file operations
* [ ] HuggingFace integration
* [ ] Google Drive support
* [ ] Compression for large files

## Contributing

This is an early-stage project. Bug reports and feature requests are welcome via GitHub issues.

## License

MIT License

---

 **Note** : This is v0.1.1 - early release bridging VS Code Colab extension gaps.
iron_sdk 0.1.0
Utilities for iron sdk
Requires Python: >=3.12
Keywords: fundamental, general-purpose

# Module :: iron_sdk

Utilities for iron sdk

<!--
### Basic use-case

```python
from iron_sdk import f1

def main():
  f1()
```

### To add to your project

```bash
uv add iron_sdk
```

### Try out from the repository

```shell
git clone <repository>
cd <repository>
uv sync
uv run python -m iron_sdk
```
-->

### Sample

<!-- Add usage examples here -->
ironcageai 0.1.0
AI and machine learning utilities built on the ironcage framework
Requires Python: >=3.12
Keywords: fundamental, general-purpose

# Module :: ironcageai

AI and machine learning utilities built on the ironcage framework

<!--
### Basic use-case

```python
from ironcageai import f1

def main():
  f1()
```

### To add to your project

```bash
uv add ironcageai
```

### Try out from the repository

```shell
git clone <repository>
cd <repository>
uv sync
uv run python -m ironcageai
```
-->

### Sample

<!-- Add usage examples here -->