semvec/pypi-packages huggingface dataset:
flex-streaming-sdk 0.2.4
Handy tools for streaming data
Requires Python: >=3.9

Flexitricity Streaming Tools 🛶

🛠️ Note, this library is still under development, and not yet published!

Development tools for streaming, install via pip install flexitricity-stream-tools and import with from flex import stream.

Tools in here are designed to support streaming onto Azure event hubs, grids etc, as well as to create standards for consistent message formats for easier sending/recieving.
x402mail 0.2.5
Send and receive emails with crypto micropayments via x402
Requires Python: >=3.10
Keywords: crypto, email, mcp, micropayments, x402

# x402mail

Send and receive emails with crypto micropayments. No accounts, no API keys - just a wallet.

Built on the [x402 protocol](https://www.x402.org/) - every API call is paid with USDC on Base.

## Install

```bash
pip install x402mail[cdp]
```

## Quick Start

```bash
export CDP_API_KEY_ID="your-key-id"          # from cdp.coinbase.com
export CDP_API_KEY_SECRET="your-key-secret"
export CDP_WALLET_SECRET="your-wallet-secret"
```

```python
from x402mail import X402Mail

mail = X402Mail.from_cdp()

mail.send(
    to="alice@example.com",
    subject="Hello from x402mail",
    body="Sent with 3 lines of Python!"
)

mail.inbox()
mail.messages(limit=5)
mail.read(message_id=1)
```

Or with a private key: `X402Mail(private_key=os.getenv("EVM_PRIVATE_KEY"))`

## MCP Server for AI Agents

Run a local MCP server so LLMs (Claude, GPT, etc.) can send and receive emails:

```bash
x402mail mcp
```

Add to your MCP config (Claude Desktop / Cursor / Claude Code):

```json
{
  "mcpServers": {
    "x402mail": {
      "command": "x402mail",
      "args": ["mcp"],
      "env": {
        "CDP_API_KEY_ID": "your-key-id",
        "CDP_API_KEY_SECRET": "your-key-secret",
        "CDP_WALLET_SECRET": "your-wallet-secret"
      }
    }
  }
}
```

### MCP Tools

| Tool | Cost | Description |
|------|------|-------------|
| `send_email` | $0.005 | Send an email to any address |
| `get_inbox` | $0.001 | Get your inbox address and message counts |
| `list_messages` | $0.002 | List inbox messages |
| `read_message` | $0.001 | Read a specific message |

## Pricing

| Action | Cost |
|--------|------|
| Send email | $0.005 |
| Check inbox | $0.001 |
| List messages | $0.002 |
| Read message | $0.001 |

$1 USDC covers ~200 emails.

## Wallet Setup

**CDP Server Wallet (recommended):** Follow the [CDP quickstart guide](https://docs.cdp.coinbase.com/x402/quickstart-for-buyers) to get API keys. No private keys to manage.

**Private Key:** Use any EVM wallet with USDC on Base. `pip install x402mail` (without `[cdp]`).

## Links

- [Website](https://x402mail.com)
- [Docs](https://x402mail.com/docs)
- [GitHub](https://github.com/MuzsaiLajos/x402mail)

## License

MIT
jcmoptimizer 3.0.2
The JCMoptimizer interface for Python
Requires Python: >=3.9

# JCMoptimizer Python Client #

This package implements a python client for interacting with the JCMoptimizer server. It provides a convenient interface to set up, run, and analyze numerical studies of expensive black box functions.

## Getting Started

### Cloud Service
The easiest way to get started is to use the free tier of the JCMwave's cloud service for JCMoptimizer:
* Install the `jcmoptimizer` package into your python environmentm, e.g. by runing `pip install jcmoptimizer`.
* Signup to [optimizer.jcmwave.com](https://optimizer.jcmwave.com).
* Create an [API access token](https://optimizer.jcmwave.com/cloud/tokens/list/)

### Run JCMoptimizer Locally
For a self-hosted version, you need install JCMsuite and the JCMoptimizer extension for JCMsuite:
* Browse to the [JCMsuite download](https://installation.jcmwave.com/fb13885794fc64c42531c9656f8f6f73.php) page to install JCMsuite and to retrieve a demo or commercial license.
* Browse to the [JCMoptimizer download](https://optimizer.jcmwave.com/download) page to install JCMoptimzizer.

### First Example
A basic usage example of the python package is given in the tutorial on a [Bayesian Optimization](https://optimizer.jcmwave.com/documentation/python/latest/tutorials/vanilla_bayesian_optimization.html).

## Documentation

For a comprehensive overview of all available classes, methods, and their parameters, please refer to the official JCMoptimizer Python documentation:

*   [JCMoptimizer Python Interface Documentation](https://optimizer.jcmwave.com/documentation/python/latest/interface/index.html)
*   [JCMoptimizer Python Tutorials](https://optimizer.jcmwave.com/documentation/python/latest/tutorials/index.html)

These resources provide detailed explanations and examples for advanced usage, including different drivers.