semvec/pypi-packages huggingface dataset:
djangoviz 0.1.1
A visualization tool.
Requires Python: >=3.6.0
Keywords: django,erd,visualization

# djangoviz

DjangoViz is a Django app that helps you visualize your models and their relationships using [Atlas Cloud](https://gh.atlasgo.cloud).

![alt text](https://entgo.io/images/assets/erd/edges-quick-summary.png)


## Installation

1. Install the `djangoviz` package:

```bash
pip install djangoviz
```

## Configuration

2. Add `djangoviz` to your Django project's `INSTALLED_APPS` in `settings.py`:

```python
INSTALLED_APPS = [
    ...,
    'djangoviz',
    ...
]
```

## Usage

3. Generate the visualization by running the `djangoviz` management command:

```bash
python manage.py djangoviz
```

```python
'Here is a public link to your schema visualization: https://gh.atlasgo.cloud/explore/13b2e709'
```

This command will create a visual representation of your projects database schema using Atlas Cloud. You can now easily view and explore the relationships between your models.

**Note**: Ensure that your Django project is properly configured and connected to a database before running the `djangoviz` command.
streamlit-seqviz 0.0.5
This library is a streamlit app for chemical or medical use that show DNA sequences effectively
Requires Python: >=3.6
Keywords: dna,streamlit,chemistry

[![Open in Streamlit](https://huggingface.co/datasets/huggingface/badges/raw/refs%2Fpr%2F11/open-in-hf-spaces-md-dark.svg)](https://huggingface.co/spaces/z-uo/DNASequenceVisualization)

# Streamlit seqviz

This library is a streamlit app for chemical or medical use that show DNA sequences effectively based on [seqviz](https://github.com/Lattice-Automation/seqviz) js library.

|white theme | dark theme |
|------------|------------|
|![Streamlit sample white theme](https://gitlab.com/nicolalandro/streamlit-seqviz/-/raw/main/imgs/white_screen.png)|![Streamlit sample dark theme](https://gitlab.com/nicolalandro/streamlit-seqviz/-/raw/main/imgs/black_screen.png)|

Install with:

```bash
pip install streamlit-seqviz
```

Usage example:

```python
from streamlit_seqviz import streamlit_seqviz

streamlit_seqviz(
    name = "J23100",
    seq = "TTGACGGCTAGCTCAGTCCTAGGTACAGTGCTAGC",
    annotations = [{ "name": "promoter", "start": 0, "end": 30, "direction": 1 }],
    style =  { "height": "100vh", "width": "100vw" },
    highlights = [{ "start": 0, "end": 10 }],
    enzymes = [
        "EcoRI",
        "PstI",
        {
            "name": "Cas9",
            "rseq": "NGG", # recognition sequence
            "fcut": 0, # cut index on FWD strand, relative to start of rseq
            "rcut": 1, # cut index on REV strand, relative to start of rseq
            "color": "#D7E5F0", # color to highlight recognition site with
            "range": {
                "start": 4,
                "end": 8,
            },
        },
    ],
)
```