open-index/open-npm huggingface dataset:
npm package: @jupyterlab/fasta-extension
Description: Fasta renderer for JupyterLab
Author: Project Jupyter
Latest version: 3.3.0

# jupyterlab-fasta

A JupyterLab extension for rendering
[Fasta](https://en.wikipedia.org/wiki/FASTA_format) data. This extension uses the
[MSA Fasta viewer](http://msa.biojs.net/).

![demo](http://g.recordit.co/temizjae9X.gif)

## Requirements

- JupyterLab >= 3.0

## Install

```bash
pip install jupyterlab-fasta
```

## Usage

To render fasta output in IPython:

```python
from IPython.display import display

def Fasta(data=''):
    bundle = {}
    bundle['application/vnd.fasta.fasta'] = data
    bundle['text/plain'] = data
    display(bundle, raw=True)

Fasta(""">SEQUENCE_1
MTEITAAMVKELRESTGAGMMDCKNALSETNGDFDKAVQLLREKGLGKAAKKADRLAAEG
LVSVKVSDDFTIAAMRPSYLSYEDLDMTFVENEYKALVAELEKENEERRRLKDPNKPEHK
IPQFASRKQLSDAILKEAEEKIKEELKAQGKPEKIWDNIIPGKMNSFIADNSQLDSKLTL
MGQFYVMDDKKTVEQVIAEKEKEFGGKIKIVEFICFEVGEGLEKKTEDFAAEVAAQL
>SEQUENCE_2
SATVSEINSETDFVAKNDQFIALTKDTTAHIQSNSLQSVEELHSSTINGVKFEEYLKSQI
ATIGENLVVRRFATLKAGANGVVNGYIHTNGRVGVVIAAACDSAEVASKSRDLLRQICMH""")
```

To render a `.fasta` file, simply open it.

## Contributing

### Development install

Note: You will need NodeJS to build the extension package.

The `jlpm` command is JupyterLab's pinned version of
[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
`yarn` or `npm` in lieu of `jlpm` below.

```bash
# Clone the repo to your local environment
# Change directory to the jupyterlab-fasta directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build
```

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

```bash
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab
```

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

```bash
jupyter lab build --minimize=False
```

### Uninstall

```bash
pip uninstall jupyterlab-fasta
```
npm package: @jupyterlab/filebrowser
Description: JupyterLab - FileBrowser Widget
Author: Project Jupyter
Latest version: 4.5.6

# @jupyterlab/filebrowser

A JupyterLab package which provides a file browser to the application.
Document operations (such as opening, closing, renaming and moving),
are delegated to the [document manager](../docmanager).
npm package: @jupyterlab/fileeditor
Description: JupyterLab - Editor Widget
Author: Project Jupyter
Latest version: 4.5.6

# @jupyterlab/fileeditor

A JupyterLab package which provides a text editor. The default text editor wraps
a [codemirror](../codemirror) instance, but others may be substituted by
implementing the [@jupyterlab/codeeditor](../codeeditor) interface.
npm package: @jupyterlab/geojson-extension
Description: GeoJSON renderer for JupyterLab
Author: Project Jupyter
Latest version: 3.4.0

# jupyterlab-geojson

A JupyterLab extension for rendering GeoJSON

![demo](http://g.recordit.co/SsWJCpKIJy.gif)

## Requirements

- JupyterLab >= 3.0

## Install

```bash
pip install jupyterlab-geojson
```

## Usage

To render GeoJSON output in IPython:

```python
from IPython.display import GeoJSON

GeoJSON({
    "type": "Feature",
    "geometry": {
        "type": "Point",
        "coordinates": [-118.4563712, 34.0163116]
    }
})
```

To use a specific tileset:

```python
GeoJSON(
    data={
        "type": "Feature",
        "geometry": {
            "type": "Point",
            "coordinates": [-118.4563712, 34.0163116]
        }
    }, url_template="https://api.tiles.mapbox.com/v4/{id}/{z}/{x}/{y}.png?access_token=[MAPBOX_ACCESS_TOKEN]",
    layer_options={
        "id": "mapbox.streets",
        "attribution" : '&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a>'
    }
)
```

To render GeoJSON on Mars:

```python
GeoJSON(
  data={
      "type": "Feature",
      "geometry": {
          "type": "Point",
          "coordinates": [11.8, -45.04]
      }
  }, url_template="http://s3-eu-west-1.amazonaws.com/whereonmars.cartodb.net/{basemap_id}/{z}/{x}/{y}.png",
  layer_options={
      "basemap_id": "celestia_mars-shaded-16k_global",
      "attribution" : "Celestia/praesepe",
      "tms": True,
      "minZoom" : 0,
      "maxZoom" : 5
  }
)
```

To render a `.geojson` or `.geo.json` file, simply open it.

## Contributing

### Development install

Note: You will need NodeJS to build the extension package.

The `jlpm` command is JupyterLab's pinned version of
[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
`yarn` or `npm` in lieu of `jlpm` below.

```bash
# Clone the repo to your local environment
# Change directory to the jupyterlab-geojson directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build
```

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

```bash
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab
```

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

```bash
jupyter lab build --minimize=False
```

### Uninstall

```bash
pip uninstall jupyterlab-geojson
```
npm package: @jupyterlab/google-drive
Description: Cloud storage with JupyterLab through Google Drive
Author: Ian Rose
Latest version: 2.0.0

# jupyterlab-google-drive

[![Build Status](https://travis-ci.org/jupyterlab/jupyterlab-google-drive.svg?branch=master)](https://travis-ci.org/jupyterlab/jupyterlab-google-drive)

## Cloud storage for JupyterLab through Google Drive.

**NOTE: this is beta software and is rapidly changing.**

This extension adds a Google Drive file browser to the left sidebar of JupyterLab.
When you are logged into your Google account, you will have the
files stored in your GDrive available to JupyterLab.

If you run into trouble, see if the [troubleshooting guide](docs/troubleshooting.md) has a solution for you.

## Prerequisites

- JupyterLab 1.0
- A Google Drive account

## Setting up credentials with Google

To run this extension you need to authenticate your JupyterLab deployment
(whether institutional or individual) with Google.
In order to identify yourself to Google, you will need to register a web application
with their Developers Console.
Detailed instructions for setting up your application credentials can be found in
[setup.md](docs/setup.md).

## Installation

To install this extension into JupyterLab (requires node 6 or later), do the following:

```bash
jupyter labextension install @jupyterlab/google-drive
```

## Development

For a development install, do the following in the repository directory:

```bash
jlpm install
jlpm run build
jupyter labextension install .
```

You can then run JupyterLab in watch mode to automatically pick up changes to `@jupyterlab/google-drive`.
Open a terminal in the `@jupyterlab/google-drive` repository directory and enter

```bash
jlpm run watch
```

Then launch JupyterLab using

```bash
jupyter lab --watch
```

This will automatically recompile `@jupyterlab/google-drive` upon changes,
and JupyterLab will rebuild itself. You should then be able to refresh the
page and see your changes.

## Getting Started from Scratch

- Install JupyterLab

  ```
  pip install jupyterlab
  ```

- Install the jupyterlab-google-drive extension

  ```
  jupyter labextension install @jupyterlab/google-drive
  ```

- Set up your application credentials according to [this](docs/setup.md) guide.

- Start JupyterLab

  ```
  jupyter lab
  ```

- Click on the Google Drive tab in the left sidebar in the JupyterLab interface
  and log in to your Google Drive account.

- Have someone share a notebook or markdown file with you.

- You should now see the file in the **Shared with Me** folder in the file browser.
  Double-click to open the file and begin editing!
npm package: @jupyterlab/hub-extension
Description: JupyterLab integration for JupyterHub
Author: Project Jupyter
Latest version: 4.5.6

# @jupyterlab/hub-extension

[JupyterLab](https://github.com/jupyterlab/jupyterlab) integration for
[JupyterHub](https://github.com/jupyterhub/jupyterhub).

This adds a "Hub" menu to JupyterLab that allows a user to log out of JupyterHub
or access their JupyterHub control panel.
npm package: @jupyterlab/inspector-extension
Description: JupyterLab - Code Inspector Extension
Author: Project Jupyter
Latest version: 4.5.6

# @jupyterlab/inspector-extension

An extension for JupyterLab which provides an entry point, commands, and keyboard shortcuts for the [@jupyterlab/inspector](../inspector) package.

It is used in both the [@jupyterlab/notebook](../notebook) and [@jupyterlab/console](../console) packages.
npm package: @jupyterlab/javascript-extension
Description: JupyterLab - Javascript Renderer
Author: Project Jupyter
Latest version: 4.5.6

# javascript-extension

A JupyterLab extension for running Javascript from a notebook in JupyterLab.

This extension is in the official JupyterLab distribution.

## Usage

```python
from IPython.display import Javascript

Javascript('alert("hello world");')
```

## Development

See the [JupyterLab Contributor Documentation](https://github.com/jupyterlab/jupyterlab/blob/4.5.x/CONTRIBUTING.md).
npm package: @jupyterlab/json-extension
Description: JupyterLab - JSON Renderer
Author: Project Jupyter
Latest version: 4.5.6

# json-extension

A JupyterLab extension for rendering JSON as a tree

This extension is in the official JupyterLab distribution.

## Usage

To render [JSON-able dict or list](https://ipython.org/ipython-doc/3/api/generated/IPython.display.html#IPython.display.JSON) in IPython:

```python
from IPython.display import JSON

JSON({
    "string": "string",
    "array": [1, 2, 3],
    "bool": True,
    "object": {
        "foo": "bar"
    }
})
```

To render a fully expanded tree:

```python
JSON({
    "string": "string",
    "array": [1, 2, 3],
    "bool": True,
    "object": {
        "foo": "bar"
    }
}, expanded=True)
```

To render a `.json` file, simply open it:

## Development

See the [JupyterLab Contributor Documentation](https://github.com/jupyterlab/jupyterlab/blob/4.5.x/CONTRIBUTING.md).
npm package: @jupyterlab/jupyterlab_apod
Description: Show a random NASA Astronomy Picture of the Day.
Author: Your Name
Latest version: 2.0.0

# JupyterLab Astronomy Picture of the Day extension

Show a random NASA Astronomy Picture of the Day.


## Prerequisites

* JupyterLab

## Installation

```bash
jupyter labextension install @jupyterlab/jupyterlab_apod
```

## Development

For a development install (requires npm version 4 or later), do the following in the repository directory:

```bash
npm install
npm run build
jupyter labextension link .
```

To rebuild the package and the JupyterLab app:

```bash
npm run build
jupyter lab build
```
npm package: @jupyterlab/katex-extension
Description: KaTeX math renderer for JupyterLab
Author: Project Jupyter
Latest version: 3.4.0

# jupyterlab-katex

A JupyterLab extension for rendering [KaTeX](https://khan.github.io/KaTeX/) math.

The default LaTeX renderer in JupyterLab uses [MathJax](https://www.mathjax.org/),
which, while powerful, can be slow to render complex equations.
This extension substitutes the MathJax renderer with the KaTeX renderer.
KaTeX is much faster, at the cost of being less full-featured than MathJax.
If you want faster math processing and the subset of LaTeX provided by KaTeX is
sufficient for your purposes, this may be the extension for you!

If you equations are not rendering properly with this extension,
you probably will want to fall back to MathJax.

## Requirements

- JupyterLab >= 3.0

## Install

```bash
pip install jupyterlab-katex
```

## Contributing

### Development install

Note: You will need NodeJS to build the extension package.

The `jlpm` command is JupyterLab's pinned version of
[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
`yarn` or `npm` in lieu of `jlpm` below.

```bash
# Clone the repo to your local environment
# Change directory to the jupyterlab-katex directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build
```

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

```bash
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab
```

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

```bash
jupyter lab build --minimize=False
```

### Uninstall

```bash
pip uninstall jupyterlab-katex
```
npm package: @jupyterlab/launcher
Description: JupyterLab - Launcher Panel
Author: Project Jupyter
Latest version: 4.5.6

# @jupyterlab/launcher

A JupyterLab package that provides a launcher for various activities,
including notebooks, consoles, text editors, and terminals.

JupyterLab extensions may register themselves with the launcher in order to show up as an activity when the application starts.
npm package: @jupyterlab/mathjax3-extension
Description: MathJax 3 math renderer for JupyterLab
Author: Project Jupyter
Latest version: 4.2.2

# jupyterlab-mathjax3

A JupyterLab extension for rendering math with [MathJax 3](https://github.com/mathjax/mathjax).

The default LaTeX renderer in JupyterLab uses [MathJax 2](https://www.mathjax.org/).
This extension substitutes the MathJax 2 renderer with the MathJax 3 renderer.

## Requirements

- JupyterLab >= 3.0

## Install

```bash
pip install jupyterlab-mathjax3
```

## Contributing

### Development install

Note: You will need NodeJS to build the extension package.

The `jlpm` command is JupyterLab's pinned version of
[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
`yarn` or `npm` in lieu of `jlpm` below.

```bash
# Clone the repo to your local environment
# Change directory to the jupyterlab-mathjax3 directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build
```

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

```bash
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab
```

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

```bash
jupyter lab build --minimize=False
```

### Uninstall

```bash
pip uninstall jupyterlab-mathjax3
```