semvec/pypi-packages huggingface dataset:
gconfid 0.0.0
Coming soon ... G-Confid, Disclosure Avoidance Software from Statistics Canada.

# Overview

G-Confid is Statistics Canada’s Disclosure Avoidance software. It consists of 4 main modules:

- **Sensitivity**, which aggregates micro data into table cells then calculates the sensitivity of the cells as well as the combination of cells.
- **Suppression**, which identifies cells to be suppressed in a table, in addition to the sensitive cells, to prevent confidential data disclosure. This is referred to as a suppression pattern.
- **Auditing**, which verifies the validity of a suppression pattern primarily used when adjustments are made to the recommended pattern.
- **Optimized Rounding**, which rounds multi-dimensional tables, creating uncertainty while providing a solution that is as close to the given table as possible that respects the provided constraints.
tsmorz123 0.1.1
An extended Kalman filter for SLAM and localization.
Requires Python: <4.0,>=3.12

# state-estimation
![controls-example](https://github.com/user-attachments/assets/f2abb831-2cf8-4599-95b8-127963a9e981)

# ekf-localization
![ekf-localization](https://github.com/user-attachments/assets/c441e3ec-4151-473b-be20-dd3ba98de8b4)

# setup
1. `make init`
2. `make format`
3. `make test`
tsmorz1234 0.1.0
An extended Kalman filter for SLAM and localization.
Requires Python: <4.0,>=3.12

# state-estimation
![controls-example](https://github.com/user-attachments/assets/f2abb831-2cf8-4599-95b8-127963a9e981)

# ekf-localization
![ekf-localization](https://github.com/user-attachments/assets/c441e3ec-4151-473b-be20-dd3ba98de8b4)

# setup
1. `make init`
2. `make format`
3. `make test`
colson 1.0.2
ColSON parser for Python 3.
Requires Python: >=3.13
Keywords: colson, parser, python

# ColSON pip

[ColSON](https://github.com/shushtain/colson-vscode) parser for Python 3.

> ⚠️ **In per-issue development**  
> Any help or critique is encouraged.

## Features

- `colson.loads(x)` parses ColSON data into Python object.
- `colson.dumps(x)` parses Python object into ColSON data.

## Installation

Run:

```bash
pip install colson
```

Import:

```python
import colson
```