semvec/pypi-packages huggingface dataset:
monsterclient 1.2.1
client for monster
Requires Python: >=3.8

#### How to use?

Set these variables in .bashrc or export them in your favourite terminal app:

for AUTH version 1

```
export ST_AUTH=http://127.0.0.1:8080/auth/v1.0
export ST_USER=test:tester
export ST_KEY=testing
export ST_URL=http://127.0.0.1:8080/v1/AUTH_test

```
all `Domain` variables are id not name

for AUTH version 3 (Project Name)
```
export OS_MONSTER_URL=http://127.0.0.1:8080  
export OS_USERNAME=tester
export OS_PASSWORD=testing
export OS_AUTH_URL="http://127.0.0.1:5000"
export OS_USER_DOMAIN="default"
export OS_PROJECT_NAME="test"
export OS_PROJ_DOMAIN="default"
```

for AUTH version 3 (Project ID)
```
export OS_MONSTER_URL=http://127.0.0.1:8080  
export OS_USERNAME=tester
export OS_PASSWORD=testing
export OS_USER_DOMAIN="default"
export OS_AUTH_URL="http://127.0.0.1:5000"
export OS_PROJECT_ID="test"
```


`apt install pipx`

`pipx install monsterclient`

enjoy :)


##### commands

1. put

```
monster put <container>
monster put <container> <object>
```

2. delete

```
monster delete <container>
monster delete <container> <object>
```

3. get

```
monster get
monster get <container>
monster get <container> <object>
```

4. head

```
monster head
monster head <container>
monster head <container> <object>
```

5. post

```
monster post --header key:value
monster post <container> --header key:value
monster post <container> <object> --header key:value
```

6. info

```
monster info
```

* to see curl command use `-c` or `--curl` option. for example:

```
monster put <container> --curl
```
streamfy 0.3.5
Modern frontend web components based on Buefy for Streamlit.
Requires Python: >=3.6

# Streamfy — Buefy for Streamlit

Modern frontend web components based on [Bulma](https://bulma.io/) and [Buefy](https://buefy.org/) for [Streamlit](https://streamlit.io/).

[![](images/streamfy.gif)](https://streamfy.streamlit.app/)

Live demo at [streamfy.streamlit.app](https://streamfy.streamlit.app/)

## Getting Started

Install `streamfy`:

```bash
pip install streamfy
```

Create a simple application `app.py`:

```py
import streamlit as st
import streamfy as sy

sy.carousel(items=[
  "https://picsum.photos/id/1051/1230/500",
  "https://picsum.photos/id/1052/1230/500",
  "https://picsum.photos/id/1053/1230/500",
])
```

Run this application:

```
streamlit run app.py
```

![](images/carousel.png)

A file with all components is available in [examples/all.py](examples/all.py):

![](images/components.png)

Take a look at [Buefy's documentation](https://buefy.org/documentation) for a list of all properties and examples available.

[![](images/buefy.png)](https://buefy.org/documentation)

## Contributing

Ensure you have [Python 3.6+](https://www.python.org/downloads/), [Node.js](https://nodejs.org), and [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) installed.

Clone this repo and create a new Python virtual environment:

```
$ python3 -m venv venv  # create venv
$ . venv/bin/activate   # activate venv
$ pip install streamlit # install streamlit
```

Initialize and run the component frontend:

```
$ cd streamfy/frontend
$ npm install    # Install npm dependencies
$ npm run serve  # Start the Webpack dev server
```

From a separate terminal, run the Streamlit app:

```
$ . venv/bin/activate  # activate the venv you created earlier
$ streamlit run streamfy/__init__.py  # run the example
```

If all goes well, you should see something like this:

![](images/development.png)

Modify the frontend code at `streamfy/frontend/src/Streamfy.vue` and the Python code at `streamfy/__init__.py`.

## Resources

- [Buefy Documentation](https://buefy.org/documentation/steps)