semvec/pypi-packages huggingface dataset:
gwax 0.1.0
Gravitational-wave astronomy in JAX
Requires Python: >=3.11

# gwax

Gravitational-wave astronomy in JAX.

## Install

1. Install JAX following their [instructions](https://github.com/google/jax#installation) for your platform and hardware.
2. `pip install gwax`.

To install the latest development: `pip install git+https://github.com/mdmould/gwax`.

## Implementations

- Flow-based variational inference for gravitational-wave population analysis.

## Usage

See the [examples](https://github.com/mdmould/gwax/tree/main/examples).

## Current limitations

- gwax is being actively developed and the interface is likely to undergo breaking changes.
- Currently the only thing implemented is variation inference of gravitational-wave populations.
- Variational population inference only interfaces with [gwpopulation](https://github.com/ColmTalbot/gwpopulation).
- Only univariate uniform priors are supported.
e2b-fastmcp-server 0.2.2
E2B sandbox-backed FastMCP server
Requires Python: >=3.12

# e2b-fastmcp-server

基于 E2B 沙箱与 FastMCP 的 MCP 服务器。


## PyPI包
快速使用：
```bash
npx @modelcontextprotocol/inspector uvx e2b-fastmcp-server@latest
```

## 环境变量
支持通过 `.env` 或系统环境变量配置，需要 E2B (https://e2b.dev/) 提供的api-key。

## 开发与构建
在项目根（包含 `pyproject.toml` 的目录）执行：
```bash
uv add build twine
uv run -m build
```
产物位于 `dist/` 目录，包含 `.whl` 与 `.tar.gz`。