open-index/open-npm huggingface dataset:
npm package: @oawofolu/plugin-mlworkflows
Description: Welcome to the mlworkflows plugin!
Latest version: 0.1.0

# mlworkflows

Welcome to the mlworkflows plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn start` in the root directory, and then navigating to [/mlworkflows](http://localhost:3000/mlworkflows).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](./dev) directory.
npm package: @oawofolu/plugin-mlworkflows-backend
Description: Welcome to the mlworkflows backend plugin!
Latest version: 0.4.10

# mlworkflows

Welcome to the mlworkflows backend plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn
start` in the root directory, and then navigating to [/mlworkflows](http://localhost:3000/mlworkflows).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](/dev) directory.
npm package: @oawofolu/plugin-mlworkflows-base
Description: Welcome to the mlworkflows-base plugin!
Latest version: 0.1.6

# mlworkflows-base

Welcome to the mlworkflows-base plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn start` in the root directory, and then navigating to [/mlworkflows-base](http://localhost:3000/mlworkflows-base).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](./dev) directory.
npm package: @oawofolu/plugin-mlworkflows-card
Description: Welcome to the mlworkflows-card plugin!
Latest version: 0.1.7

# mlworkflows-card

Welcome to the mlworkflows-card plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn start` in the root directory, and then navigating to [/mlworkflows-card](http://localhost:3000/mlworkflows-card).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](./dev) directory.
npm package: @oawofolu/plugin-mlworkflows-clusters
Description: Welcome to the mlworkflows-clusters plugin!
Latest version: 0.1.6

# mlworkflows-clusters

Welcome to the mlworkflows-clusters plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn start` in the root directory, and then navigating to [/mlworkflows-clusters](http://localhost:3000/mlworkflows-clusters).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](./dev) directory.
npm package: @oawofolu/plugin-mlworkflows-data
Description: Welcome to the mlworkflows-data plugin!
Latest version: 0.1.6

# mlworkflows-data

Welcome to the mlworkflows-data plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn start` in the root directory, and then navigating to [/mlworkflows-data](http://localhost:3000/mlworkflows-data).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](./dev) directory.
npm package: @oawofolu/plugin-mlworkflows-dialog
Description: Welcome to the mlworkflows-dialog plugin!
Latest version: 0.1.6

# mlworkflows-dialog

Welcome to the mlworkflows-dialog plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn start` in the root directory, and then navigating to [/mlworkflows-dialog](http://localhost:3000/mlworkflows-dialog).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](./dev) directory.
npm package: @oawofolu/plugin-mlworkflows-experiments
Description: Welcome to the mlworkflows-experiments plugin!
Latest version: 0.1.6

# mlworkflows-experiments

Welcome to the mlworkflows-experiments plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn start` in the root directory, and then navigating to [/mlworkflows-experiments](http://localhost:3000/mlworkflows-experiments).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](./dev) directory.
npm package: @oawofolu/plugin-mlworkflows-main
Description: Welcome to the mlworkflows-main plugin!
Latest version: 0.4.18

# mlworkflows-main

Welcome to the mlworkflows-main plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn start` in the root directory, and then navigating to [/mlworkflows-main](http://localhost:3000/mlworkflows-main).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](./dev) directory.
npm package: @oawofolu/plugin-mlworkflows-main-wrapper
Description: Welcome to the mlworkflows-main-wrapper plugin!
Latest version: 0.1.12

# mlworkflows-main-wrapper

Welcome to the mlworkflows-main-wrapper plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn start` in the root directory, and then navigating to [/mlworkflows-main-wrapper](http://localhost:3000/mlworkflows-main-wrapper).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](./dev) directory.
npm package: @oawofolu/plugin-mlworkflows-main-wrapper-backend
Description: Welcome to the mlworkflows-main-wrapper backend plugin!
Latest version: 0.1.7

# mlworkflows-main-wrapper

Welcome to the mlworkflows-main-wrapper backend plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn
start` in the root directory, and then navigating to [/mlworkflows-main-wrapper](http://localhost:3000/mlworkflows-main-wrapper).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](/dev) directory.
npm package: @oawofolu/plugin-mlworkflows-models
Description: Welcome to the mlworkflows-models plugin!
Latest version: 0.1.6

# mlworkflows-models

Welcome to the mlworkflows-models plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn start` in the root directory, and then navigating to [/mlworkflows-models](http://localhost:3000/mlworkflows-models).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](./dev) directory.
npm package: @oawofolu/plugin-mlworkflows-pipelines
Description: Welcome to the mlworkflows-pipelines plugin!
Latest version: 0.1.6

# mlworkflows-pipelines

Welcome to the mlworkflows-pipelines plugin!

_This plugin was created through the Backstage CLI_

## Getting started

Your plugin has been added to the example app in this repository, meaning you'll be able to access it by running `yarn start` in the root directory, and then navigating to [/mlworkflows-pipelines](http://localhost:3000/mlworkflows-pipelines).

You can also serve the plugin in isolation by running `yarn start` in the plugin directory.
This method of serving the plugin provides quicker iteration speed and a faster startup and hot reloads.
It is only meant for local development, and the setup for it can be found inside the [/dev](./dev) directory.