semvec/pypi-packages huggingface dataset:
virgui 0.1.15
Prototype for the Virgo control room GUI
Requires Python: >=3.8

# virgo-gui

Prototype for the virgo control room gui

## Installation via package

Currently available on [pypi](https://pypi.org/project/virgui/)

Recommend to use in a fresh conda/python environment, you might mess up existing environments.

If using conda

```bash
conda create -n virgui-test python=3.12
conda activate virgui-test
```

Then

```bash
pip install virgui
virgui
```

Will start up the program. Keep an eye out for the terminal, this is where any errors will appear.

For updating:

```bash
pip install -U virgui
```

## Development install

Recommended to use in a fresh conda/python environment, you might mess up existing environments.

If using conda

```bash
conda create -n virgui-test python=3.12
conda activate virgui-test
```

```bash
# ssh
git clone git@gitlab.com:ifosim/finesse/virgo-gui.git
# or https
# git clone https://gitlab.com/ifosim/finesse/virgo-gui.git
cd virgo-gui
pip install -e .
```

For updating:

```bash
git pull
```

## Usage

Currently there is only one layout available, a simple cavity.

Click on the different components to see the parameter values (no editing so far)

In the 'calculate' tab, you should be able to run an Xaxis and see the plot.

Currently I hardcoded in three powerdetectors.

![layout screen](layout.png)

![calculate screen](calculate.png)
mcp-gen 0.1.0
YAML-based Model Context Protocol MCP configuration generator with template interpolation and secret management
Requires Python: >=3.8

# MCP Configuration Generator

Standalone YAML-based MCP configuration generator with template interpolation and secret management.

## Why This Tool Exists

**Problem:** MCP configurations contain hardcoded paths and secrets, making them impossible to version control or share across teams/environments.

**Solution:** Separate configuration structure from secrets and environment-specific values:

- **Version control** YAML configs without exposing secrets
- **Team sharing** of standardized MCP server setups  
- **Environment portability** via template variables
- **Secret isolation** in git-ignored files

Transform this unmaintainable config:
```json
{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/Users/alice/dev/project"]
    },
    "github": {
      "command": "docker",
      "args": ["run", "-e", "GITHUB_TOKEN=ghp_actual_secret123", "github-server"]
    }
  }
}
```

Into maintainable, shareable YAML:
```yaml
variables:
  project_root: "/Users/alice/dev/project"

servers:
  filesystem:
    command: "npx"
    args: ["-y", "@modelcontextprotocol/server-filesystem", "{{ variables.project_root }}"]
  github:
    command: "docker" 
    args: ["run", "-e", "GITHUB_TOKEN={{ secrets.GITHUB_TOKEN }}", "github-server"]
```

## Installation

```bash
pip install -e .
```

## Quick Start

### Using the Examples

1. Navigate to project root:
```bash
cd /path/to/mcp-gen
```

2. Generate MCP JSON from example configuration:
```bash
python -m mcp_gen.cli generate \
  --config examples/mcp.config.yaml \
  --secrets examples/mcp.secrets.yaml
```

3. View the generated files (automatically written to configured outputs):
```bash
cat .amazonq/mcp.json
cat claude-desktop/mcp.json
```

### CLI Commands

**Generate configuration:**
```bash
python -m mcp_gen.cli generate --config config.yaml --secrets secrets.yaml --output mcp.json
```

**Generate to configured outputs (no --output needed):**
```bash
python -m mcp_gen.cli generate --config config.yaml --secrets secrets.yaml
```

**Validate configuration:**
```bash
python -m mcp_gen.cli validate --config config.yaml
```

## Configuration Format

**mcp.config.yaml:**
```yaml
version: "1.0"

outputs:
  - "{{ variables.project_root }}/.amazonq/mcp.json"
  - "{{ variables.project_root }}/claude-desktop/mcp.json"

variables:
  project_root: "/path/to/project"

servers:
  filesystem:
    command: "npx"
    args: ["-y", "@modelcontextprotocol/server-filesystem", "{{ variables.project_root }}"]
```

**mcp.secrets.yaml:**
```yaml
secrets:
  API_TOKEN: "your_secret_token"
```

## Features

- Template interpolation with Jinja2 (variables, secrets, environment)
- Multiple output paths with variable support
- Secret management (git-ignored files)
- JSON Schema validation
- Optional outputs configuration (CLI --output overrides)
ZAmino.sor 9.1.1
By Sor. https://t.me/Tearedeyes
Requires Python: >=3.6
Keywords: ZAmino, ZAmino.fix, aminoapps, ZAminofix, amino, amino-bot

### Telegram
`https://t.me/ZAminoZ`
### About lib
`Fix amino.fix`
### How to install?
`pip install ZAmino.fix`
### API Reference
[Read the Docs Link](https://aminopy.readthedocs.io/en/latest/)