semvec/pypi-packages huggingface dataset:
cdef-sas7bdat2parquet 0.1.0
Fast, ergonomic CLI for converting SAS7BDAT files into Parquet.
License: MIT
Requires Python: >=3.9
Keywords: sas7bdat, parquet, sas, cli, data

# sas2parquet

Fast, ergonomic CLI for converting SAS7BDAT files into Parquet using
`sas7bdat-parser-rs`.

## Usage

```bash
sas2parquet convert path/to/file.sas7bdat
```

Convert a directory recursively:

```bash
sas2parquet convert path/to/dir
```

Convert without recursion:

```bash
sas2parquet convert --recursive never path/to/dir
```

Globbing patterns:

```bash
sas2parquet convert "data/**/*.sas7bdat"
```

Inspect metadata:

```bash
sas2parquet inspect path/to/file.sas7bdat
```

## Notes

- Use `--progress [auto|always|never]` to control progress bars.
- Use `--jobs N` to cap parallelism.
datafold-sdk 0.2.1
The datafold SDK
License: MIT
Requires Python: <4.0,>=3.11

# datafold-sdk

An SDK library for the datafold application.

### Installation

First, create your virtual environment for python:

```shell
> python3 -m venv venv
> source venv/bin/activate
> pip install --upgrade pip setuptools wheel
```

Now, you're ready to install the datafold SDK:

```shell
> pip install datafold-sdk
```

### MCP Server Support

The Datafold MCP (Model Context Protocol) server is included in `datafold-sdk`. To use it, install with the `[mcp]` extra to include the required dependencies:

```shell
> pip install datafold-sdk[mcp]
```

Once installed, you can use the `datafold-mcp` command to run the MCP server.

### Datafold CLI

Please visit us 🙏 for detailed documentation:
https://docs.datafold.com/reference/cloud/datafold-sdk