open-index/open-npm huggingface dataset:
npm package: @semantic-icons/simple-icons
Description: Angular components for Simple Icons v16.9.0 - 3397 icons
Author: Khalil LAGRIDA
Latest version: 0.58.0

# @semantic-icons/simple-icons

`@semantic-icons/simple-icons` helps developers to use [Simple icons](https://simpleicons.org/) inside [Angular](https://angular.dev) projects.

## Supported versions

| @semantic-icons/simple-icons | Angular   | Simple Icons |
| ---------------------------- | --------- | ------------ |
| 0.x.x                        | >= 17.1.0 | 14.0.1       |

## Usage

First, install `@semantic-icons/simple-icons` from npm:

```sh
npm install @semantic-icons/simple-icons
```

Now each icon can be imported individually as an Angular component:

```js
import { ChangeDetectionStrategy, Component, ViewEncapsulation } from '@angular/core';

import { SiGithubIcon } from '@semantic-icons/simple-icons';

@Component({
  selector: 'app-home-page',
  imports: [SiGithubIcon],
  template: `
    <svg class="size-36" siGithubIcon></svg>
  `,
  styles: ``,
  encapsulation: ViewEncapsulation.None,
  changeDetection: ChangeDetectionStrategy.OnPush,
})
export default class HomePage {}
```

The icons can be imported from `@semantic-icons/simple-icons`.

Icons use the Angular naming convention and are always prefixed with the word `si` and suffixed with the word `icon`.

## License

MIT © 2024-2026 Khalil LAGRIDA
npm package: @semantic-icons/tabler-icons
Description: Icons generated based on tabler-icons v3.36.1
Author: Khalil LAGRIDA
Latest version: 0.56.0

# @semantic-icons/tabler-icons

`@semantic-icons/tabler-icons` helps developers to use [Tabler icons](https://tabler.io/icons) inside [Angular](https://angular.dev) projects.

## Supported versions

| @semantic-icons/tabler-icons | Angular   | Tabler-icons |
| ---------------------------- | --------- | ------------ |
| 0.x.x                        | >= 17.1.0 | 3.24.0       |

## Usage

First, install `@semantic-icons/tabler-icons` from npm:

```sh
npm install @semantic-icons/tabler-icons
```

Now each icon can be imported individually as an Angular component:

```js
import { ChangeDetectionStrategy, Component, ViewEncapsulation } from '@angular/core';

import { SiCakeIcon } from '@semantic-icons/tabler-icons/outline';

@Component({
  selector: 'app-home-page',
  standalone: true,
  imports: [SiCakeIcon],
  template: `
    <svg class="text-blue-500 size-6" siCakeIcon></svg>
  `,
  styles: ``,
  encapsulation: ViewEncapsulation.None,
  changeDetection: ChangeDetectionStrategy.OnPush,
})
export default class HomePage {}
```

The outline icons can be imported from `@semantic-icons/tabler-icons/outline`, the filled icons can be imported from `@semantic-icons/tabler-icons/filled`.

Icons use the Angular naming convention and are always prefixed with the word `si` and suffixed with the word `icon`.

## License

MIT © 2024-2026 Khalil LAGRIDA
npm package: @semantic-kernel-typescript/agents
Description: Semantic Kernel Typescript - Agents
Author: Kizito Egeonu
Latest version: 0.0.2

<img alt="Semantic kernel typescript" src="/website/static/img/logo.png" width="75">

# Semantic Kernel Typescript

![process](./website/docs/assets/skts.jpeg)

Semantic Kernel Typescript is an **unofficial** port of Microsoft's [Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel) SDK. It lets you easily build AI agents and integrate the latest AI models into your Typescript codebase. It serves as an efficient middleware that enables rapid delivery of AI solutions in Typescript.

This port is modelled specifically after Semantic Kernel Java. It is designed to be future proof, easily connecting your code to the latest AI models evolving with the technology as it advances. When new models are released, you’ll simply swap them out without needing to rewrite your entire codebase.

It combines prompts with existing APIs to perform actions. By describing your existing code to AI models, they’ll be called to address requests. When a request is made the model calls a function, and Semantic Kernel Typescript is the middleware translating the model's request to a function call and passes the results back to the model.

## Docs
- [Documentation Website](https://lordkiz.github.io/semantic-kernel-typescript/)
npm package: @semantic-kernel-typescript/core
Description: Semantic Kernel Typescript - Core
Author: Kizito Egeonu
Latest version: 0.0.2

<img alt="Semantic kernel typescript" src="/website/static/img/logo.png" width="75">

# Semantic Kernel Typescript

![process](./website/docs/assets/skts.jpeg)

Semantic Kernel Typescript is an **unofficial** port of Microsoft's [Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel) SDK. It lets you easily build AI agents and integrate the latest AI models into your Typescript codebase. It serves as an efficient middleware that enables rapid delivery of AI solutions in Typescript.

This port is modelled specifically after Semantic Kernel Java. It is designed to be future proof, easily connecting your code to the latest AI models evolving with the technology as it advances. When new models are released, you’ll simply swap them out without needing to rewrite your entire codebase.

It combines prompts with existing APIs to perform actions. By describing your existing code to AI models, they’ll be called to address requests. When a request is made the model calls a function, and Semantic Kernel Typescript is the middleware translating the model's request to a function call and passes the results back to the model.

## Docs
- [Documentation Website](https://lordkiz.github.io/semantic-kernel-typescript/)
npm package: @semantic-kernel-typescript/gemini
Description: Semantic Kernel Typescript - Gemini
Author: Kizito Egeonu
Latest version: 0.0.2

<img alt="Semantic kernel typescript" src="/website/static/img/logo.png" width="75">

# Semantic Kernel Typescript

![process](./website/docs/assets/skts.jpeg)

Semantic Kernel Typescript is an **unofficial** port of Microsoft's [Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel) SDK. It lets you easily build AI agents and integrate the latest AI models into your Typescript codebase. It serves as an efficient middleware that enables rapid delivery of AI solutions in Typescript.

This port is modelled specifically after Semantic Kernel Java. It is designed to be future proof, easily connecting your code to the latest AI models evolving with the technology as it advances. When new models are released, you’ll simply swap them out without needing to rewrite your entire codebase.

It combines prompts with existing APIs to perform actions. By describing your existing code to AI models, they’ll be called to address requests. When a request is made the model calls a function, and Semantic Kernel Typescript is the middleware translating the model's request to a function call and passes the results back to the model.

## Docs
- [Documentation Website](https://lordkiz.github.io/semantic-kernel-typescript/)
npm package: @semantic-kernel-typescript/huggingface
Description: Semantic Kernel Typescript - HuggingFace
Author: Kizito Egeonu
Latest version: 0.0.2

<img alt="Semantic kernel typescript" src="/website/static/img/logo.png" width="75">

# Semantic Kernel Typescript

![process](./website/docs/assets/skts.jpeg)

Semantic Kernel Typescript is an **unofficial** port of Microsoft's [Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel) SDK. It lets you easily build AI agents and integrate the latest AI models into your Typescript codebase. It serves as an efficient middleware that enables rapid delivery of AI solutions in Typescript.

This port is modelled specifically after Semantic Kernel Java. It is designed to be future proof, easily connecting your code to the latest AI models evolving with the technology as it advances. When new models are released, you’ll simply swap them out without needing to rewrite your entire codebase.

It combines prompts with existing APIs to perform actions. By describing your existing code to AI models, they’ll be called to address requests. When a request is made the model calls a function, and Semantic Kernel Typescript is the middleware translating the model's request to a function call and passes the results back to the model.

## Docs
- [Documentation Website](https://lordkiz.github.io/semantic-kernel-typescript/)
npm package: @semantic-kernel-typescript/openai
Description: Semantic Kernel Typescript - OpenAI
Author: Kizito Egeonu
Latest version: 0.0.2

<img alt="Semantic kernel typescript" src="/website/static/img/logo.png" width="75">

# Semantic Kernel Typescript

![process](./website/docs/assets/skts.jpeg)

Semantic Kernel Typescript is an **unofficial** port of Microsoft's [Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel) SDK. It lets you easily build AI agents and integrate the latest AI models into your Typescript codebase. It serves as an efficient middleware that enables rapid delivery of AI solutions in Typescript.

This port is modelled specifically after Semantic Kernel Java. It is designed to be future proof, easily connecting your code to the latest AI models evolving with the technology as it advances. When new models are released, you’ll simply swap them out without needing to rewrite your entire codebase.

It combines prompts with existing APIs to perform actions. By describing your existing code to AI models, they’ll be called to address requests. When a request is made the model calls a function, and Semantic Kernel Typescript is the middleware translating the model's request to a function call and passes the results back to the model.

## Docs
- [Documentation Website](https://lordkiz.github.io/semantic-kernel-typescript/)