open-index/open-npm huggingface dataset:
npm package: @nib/soap
Description: A minimal node SOAP client
Author: Vinay Pulim
Latest version: 0.39.1

> A SOAP client and server for node.js.

This is a fork of https://github.com/vpulim/node-soap the only change is updated version of httpntlm package to (1.7.7) to avoid npm audit security errors and the npm name change to @nib/node.


https://www.npmjs.com/package/@nib/soap
npm package: @nib/validation-methods
Description: Various methods for validating objects
Latest version: 1.2.1

# validation-methods

[![Build Status](https://travis-ci.org/nib-health-funds/validation-methods.png?branch=master)](https://travis-ci.org/nib-health-funds/validation-methods)

  Various methods for validating objects

## Installation
    $ npm i @nib/validation-methods

## API

    var methods = require('validation-methods');
    methods.required('foo'); // true
    methods.equals(1,1); // true;
    methods.email('foo@mail.com'); // true
    methods.string(1); // false;
    methods.number('string'); // false

### Validating array contents
    var validateSubsetOf = methods.isSubsetOf([1,2,3]);
    validateSubsetOf([1]); // true
    validateSubsetOf([1,3]); // true
    validateSubsetOf([1,5]); // false

## License

  MIT
npm package: @nib/view-mixins
Description: A bunch of mixins for views that have a `.el` element.
Latest version: 0.2.0

# view-mixins

A bunch of mixins for views that have a `.el` element. Mixins include:

- visibility
    - `.isVisible() : bool` 
    - `.setVisible(bool)`
- focusable
    - `.focus()`
    - `.blur()`
npm package: @nibalee/n8n-nodes-niba-api
Description: n8n community node for Niba API (Chat & Image Generation)
Author: nibalee
Latest version: 0.1.2

# n8n-nodes-gemini-image

This is an n8n community node that lets you generate images using Google's Gemini models, with automatic upload to Cloudflare R2 or ImgBB.

## Features
- **Gemini Models**: Support for Gemini 1.5 Flash, Pro, and Pro Vision.
- **Reference Images**: Use existing images as prompts.
- **Automatic Upload**: Generated images are automatically uploaded to your configured storage (R2 or ImgBB) and a public URL is returned.
- **Markdown & Inline Parsing**: Automatically extracts images from Gemini's markdown responses or inline data.

## Credentials
You need to set up the following credentials in n8n:
1. **Gemini API**: API Key from [https://api.niba.vip](https://api.niba.vip).

*(Note: Image storage (Cloudflare R2 / ImgBB) is now configured internally and does not require user setup.)*

## Installation

### 1. Build the Project
```bash
npm install
npm run build
```

### 2. Local Development (Linking)
If you have n8n running locally:
```bash
# In this directory
npm link

# In your n8n directory (e.g. ~/.n8n/custom)
npm link n8n-nodes-gemini-image

# Start n8n
n8n start
```

### 3. Publishing to Community
To share this node with the community:
```bash
npm login
npm publish
```
Once published, anyone can install it via **Settings > Community Nodes > Install** in n8n.
npm package: @nibbs66/buttons-pkg
Description: Everything you need to build a Svelte project, powered by [`create-svelte`](https://github.com/sveltejs/kit/tree/main/packages/create-svelte).
Latest version: 0.0.1

# create-svelte

Everything you need to build a Svelte project, powered by [`create-svelte`](https://github.com/sveltejs/kit/tree/main/packages/create-svelte).

## Creating a project

If you're seeing this, you've probably already done this step. Congrats!

```bash
# create a new project in the current directory
npm create svelte@latest

# create a new project in my-app
npm create svelte@latest my-app
```

## Developing

Once you've created a project and installed dependencies with `npm install` (or `pnpm install` or `yarn`), start a development server:

```bash
npm run dev

# or start the server and open the app in a new browser tab
npm run dev -- --open
```

## Building

To create a production version of your app:

```bash
npm run build
```

You can preview the production build with `npm run preview`.

> To deploy your app, you may need to install an [adapter](https://kit.svelte.dev/docs/adapters) for your target environment.