semvec/pypi-packages huggingface dataset:
klaudlytics 0.2.2
Cloud cost optimization tool
Requires Python: >=3.6

# **AWS Cost Optimization Tool**

This tool helps you optimize costs for AWS services, including **EC2**, **RDS**, **DynamoDB**, and **S3**. It analyzes resource utilization and provides recommendations to reduce costs, such as downsizing underutilized instances, transitioning storage to cheaper classes, and switching DynamoDB tables to on-demand pricing.

## **Features**

- **RDS Optimization**:
  - Identifies underutilized RDS instances based on CPU and storage usage.
  - Recommends downsizing or switching to Reserved Instances.
  - Analyzes RDS snapshots for potential cleanup.
  
- **DynamoDB Optimization**:
  - Reviews read/write capacity utilization.
  - Suggests scaling down or switching to on-demand pricing.
  
- **S3 Optimization**:
  - Detects empty or rarely accessed buckets.
  - Recommends transitioning objects to cheaper storage classes like Glacier.

## **Installation**

Install the required Python libraries:

```bash
pip install boto3 termcolor
```

## **Usage**

Call the `klaudlytics` command:

```python
klaudlytics
```

## **Requirements**
- Python 3.x
- AWS credentials with appropriate permissions (RDS, DynamoDB, S3, CloudWatch, Pricing API)
peakrdl-halcpp 0.4.1
Generate CPP Hardware Abstraction Layer libraries
Requires Python: >=3.6

# PeakRDL-halcpp

## Description

PeakRDL-halcpp is a generator for hardware abstraction layer for peripherals that enables low-level interaction with hardware.
It is based on C++ 17<br/>

### Jump straight to project [documentation](https://risto97.github.io/PeakRDL-halcpp/) to learn more.

#### For installation instruction click [here](https://risto97.github.io/PeakRDL-halcpp/docs/getting_started/installation).
#### For an instruction on how to run a simple example click [here](https://risto97.github.io/PeakRDL-halcpp/docs/getting_started/example)
liblab 1.0.0
A sample API that uses a petstore as an example to demonstrate features in the swagger-2.0 specification
Requires Python: >=3.7

# Liblab Python SDK 1.0.0

[![Acme Corporation](https://1000logos.net/wp-content/uploads/2016/10/ACME-Logo-1984-768x433.png)](https://looneytunes.fandom.com/wiki/ACME)

Welcome to the Liblab SDK documentation. This guide will help you get started with integrating and using the Liblab SDK in your project.

## Versions

- API version: `1.0.0`
- SDK version: `1.0.0`

## About the API

A sample API that uses a petstore as an example to demonstrate features in the swagger-2.0 specification

## Table of Contents

- [Setup & Configuration](#setup--configuration)
  - [Supported Language Versions](#supported-language-versions)
  - [Installation](#installation)
- [Authentication](#authentication)
  - [Access Token Authentication](#access-token-authentication)
- [Setting a Custom Timeout](#setting-a-custom-timeout)
- [Sample Usage](#sample-usage)
- [Services](#services)
- [Models](#models)

## Setup & Configuration

### Supported Language Versions

This SDK is compatible with the following versions: `Python >= 3.7`

### Installation

To get started with the SDK, we recommend installing using `pip`:

```bash
pip install liblab
```

## Authentication

### Access Token Authentication

The Liblab API uses an Access Token for authentication.

This token must be provided to authenticate your requests to the API.

#### Setting the Access Token

When you initialize the SDK, you can set the access token as follows:

```py
Liblab(
    access_token="YOUR_ACCESS_TOKEN",
    timeout=10000
)
```

If you need to set or update the access token after initializing the SDK, you can use:

```py
sdk.set_access_token("YOUR_ACCESS_TOKEN")
```

## Setting a Custom Timeout

You can set a custom timeout for the SDK's HTTP requests as follows:

```py
from liblab import Liblab

sdk = Liblab(timeout=10000)
```

# Sample Usage

Below is a comprehensive example demonstrating how to authenticate and call a simple endpoint:

```py
from liblab import Liblab, Environment

sdk = Liblab(
    access_token="YOUR_ACCESS_TOKEN",
    base_url=Environment.DEFAULT.value,
    timeout=10000
)

result = sdk.pets.list_pets(limit=8)

print(result)

```

## Services

The SDK provides various services to interact with the API.

<details> 
<summary>Below is a list of all available services:</summary>

| Name |
| :--- |
| pets |

</details>

## Models

The SDK includes several models that represent the data structures used in API requests and responses. These models help in organizing and managing the data efficiently.

<details> 
<summary>Below is a list of all available models:</summary>

| Name   | Description |
| :----- | :---------- |
| Pet    |             |
| NewPet |             |

</details>