semvec/pypi-packages huggingface dataset:
cloe-fabric-connector 0.1.1
Provides basic interface for connecting to and interacting with a Fabric instance.
License: MIT
Requires Python: <3.14,>=3.12

# cloe-fabric-connector

[![Copier](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/copier-org/copier/master/img/badge/badge-grayscale-inverted-border-orange.json)](https://github.com/copier-org/copier)
[![python](https://img.shields.io/badge/Python-3.11-3776AB.svg?style=flat&logo=python&logoColor=white)](https://www.python.org)
[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)
[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v0.json)](https://github.com/charliermarsh/ruff)
[![Checked with mypy](https://www.mypy-lang.org/static/mypy_badge.svg)](https://mypy-lang.org/)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)

Owner: initions

A new cool package.
anansi-compute 0.1.0
Secure multi-cloud compute orchestration with TEE and GPU CC support
License: MIT
Requires Python: >=3.7
Keywords: confidential-computing, tee, gpu, multi-cloud, secure-compute

# Anansi Compute

Secure multi-cloud compute orchestration with CPU TEE and GPU Confidential Computing support.

## Quick Start (30 seconds)

```python
# 1) Install
%pip install anansi-compute==0.1.0

# 2) Configure
import anansi
anansi.configure(
    endpoint="https://api.rewsr.com",
    api_key="your_api_key_here"
)

# 3) Run secure computation
result = anansi.compute(
    fn="vec_add",
    args=([1, 2, 3], [10, 20, 30]),
    policy={"min_trust": "GPU_CC", "allowed_clouds": ["azure", "gcp"]}
)
print(result["result"])  # [11, 22, 33]
```

## Features

- **CPU TEE Support**: AMD SEV-SNP, Intel TDX protection
- **GPU Confidential Computing**: NVIDIA H100 with attestation
- **Multi-cloud**: Auto-route across AWS, Azure, GCP based on policy
- **Cost Control**: Built-in budget limits and optimization
- **Verifiable**: Cryptographic attestation and audit trails

## Supported Platforms

- **Databricks**: Drop-in replacement for compute workloads
- **Snowflake**: External functions for SQL integration
- **Jupyter/Python**: Direct API access
- **REST**: Universal HTTP interface

## Documentation

- [Getting Started Guide](https://docs.rewsr.com/getting-started)
- [API Reference](https://docs.rewsr.com/api)
- [Examples](https://github.com/rewsr/anansi-compute/tree/main/examples)

## License

MIT License - see [LICENSE](LICENSE) file.
lxd-io 0.4.10
Read leveLXData datasets without boilerplate code
License: MIT
Requires Python: >=3.8

# lxd-io

Read [leveLXData](https://levelxdata.com/) datasets without boilerplate code.

Supported datasets are
* [exiD](https://www.exid-dataset.com/)
* [highD](https://highd-dataset.com/)
* [inD](https://www.ind-dataset.com/)
* [rounD](https://www.round-dataset.com/)
* [uniD](https://www.unid-dataset.com/)

## Install

Install with pip

```bash
python -m pip install lxd-io
```

## Use

Check [the tutorial notebook](https://github.com/lenvt/lxd-io/blob/main/tutorial.ipynb) or the tests to see usage examples.