semvec/pypi-packages huggingface dataset:
mlcheck 0.0.1
Pre-flight validation and reliability checks for ML pipelines
Requires Python: >=3.9

# MLCheck

**MLCheck** is an open-source Python library for pre-flight validation and reliability checks in machine learning pipelines.

It helps ML engineers detect silent failures such as:
- Data leakage
- Schema mismatches
- Shape inconsistencies
- Invalid training setups

## Why MLCheck?

Most ML failures happen **before deployment** and go unnoticed.
MLCheck acts like a **linter for ML systems**.

## Installation

```bash
pip install mlcheck
```


## Quick Example

```python
from mlcheck import check

report = check(X_train, X_test, y_train)
report.show()
```

## Project Status

🚧 Early development (v0.0.1)
APIs may change until v1.0.
pyravelry 0.0.5
Python wrapper for the Ravelry API, which is a database of knitting / crocheting patterns.
Requires Python: <4.0,>=3.10
Keywords: python

# pyravelry

[![Release](https://img.shields.io/github/v/release/theuerc/pyravelry)](https://img.shields.io/github/v/release/theuerc/pyravelry)
[![Build status](https://img.shields.io/github/actions/workflow/status/theuerc/pyravelry/main.yml?branch=main)](https://github.com/theuerc/pyravelry/actions/workflows/main.yml?query=branch%3Amain)
[![codecov](https://codecov.io/gh/theuerc/pyravelry/branch/main/graph/badge.svg)](https://codecov.io/gh/theuerc/pyravelry)
[![Commit activity](https://img.shields.io/github/commit-activity/m/theuerc/pyravelry)](https://img.shields.io/github/commit-activity/m/theuerc/pyravelry)
[![License](https://img.shields.io/github/license/theuerc/pyravelry)](https://img.shields.io/github/license/theuerc/pyravelry)

This is python wrapper for the Ravelry API (a database of knitting / crocheting patterns).

- **Github repository**: <https://github.com/theuerc/pyravelry/>
- **Documentation** <https://theuerc.github.io/pyravelry/>
- **Official Ravelry API Documentation** <https://www.ravelry.com/api>

Use of this API wrapper requires a [Ravelry Account](https://www.ravelry.com/) and a username and apikey as specified in the [HTTP Basic Auth](https://www.ravelry.com/api#authenticating) section of the Ravelry API Documentation.

Quick Start:

```bash
$pip install pyravelry
$python -i
>>> from pyravelry import Client, Settings
>>> settings = Settings(RAVELRY_USERNAME=..., RAVELRY_API_KEY=...)
>>> client = Client(settings=settings)
>>> results = client.search.query(query="merino", limit=10, types="Yarn")
>>> results[0].title
'MerinoSeide'
```

More information about this API wrapper can be found in the [pyravelry documentation](https://theuerc.github.io/pyravelry/).
kerttula 0.1.24
Juha's home automation application
Requires Python: >=3.8
Keywords: home, automation, juham, masterpiece

Kerttula
========

`Kerttula™` is a home automation application built on top of 'Juham™' framework.
It controls Juha's home.


Motivation
----------

Yes, existing home automation solutions exist — for example, Home Assistant.
I decided not to use any of them, because that would be incredibly boring.
Instead, I chose to build one from scratch, because it seemed like a much more exciting way to learn Python and the GitLab ecosystem.

It hasn’t been all fun, though.

Sphinx and its extremely fragile .rst syntax have haunted me from day one.
Python has tried to drive me crazy too — with its indentation-based structure, endless deprecations, random bugs, and the limitations of its type annotation system.

At several points I seriously regretted not writing everything in C/C++.
But in the end, I don’t regret anything.
Despite all the ups and downs, this project has been exactly what I needed to avoid wasting my spare time on something even more pointless.




Project Status
--------------

**Current State**: **Alpha (Status 3)**  
In its current form, Kerttula™ may still resemble more of a distant mission (or even a "mess") than a "masterpiece," but I'm actively developing it to reach that goal!

Please check out the `CHANGELOG <CHANGELOG.rst>`_ file for changes in this release.


Installation
------------

The installation is two stage process

1. To install:

.. code-block:: python

    pip install kerttula


2. Configure

   OpenWeatherMap and various other services require you to register and obtain web keys and things like
   that. Most importantly, Influx DB and Graphana cloud accounts must be created for data visualization.
   Please consult 'juham' documentation for more information.



License
-------

This project is licensed under the MIT License - see the `LICENSE <LICENSE.rst>`_ file.
effdim 0.1.1
A unified library for estimating effective dimensionality.
Requires Python: >=3.8

# EffDim

**EffDim** is a unified, research-oriented Python library designed to compute "effective dimensionality" (ED) across diverse data modalities.


## Installation

```bash
pip install effdim
```

## Usage

```python
import numpy as np
import effdim

data = np.random.randn(100, 50)
results = effdim.compute_dim(data)
print(f"Results : {results}")
```