semvec/pypi-packages huggingface dataset:
data-butler 0.0.9
A data cataloguing package
Requires Python: >=3.6

# DataButler
##### A python-based software for automatic data profiling and cataloging

It takes a lot of man-hours and energy to transform data dumps into forms that are more understandable and suitable for databases. The objective of DataButler is to model a framework that performs data profiling and cataloging, thereby providing more efficient search/discover functionalities.

### Process Flow
![Methodology](https://github.com/DataButler/Data-Butler/blob/master/Processflow.png)

### Installation

```sh
$ pip install --index-url https://test.pypi.org/simple/ db_st
```
### Directions
```sh
import data_butler

data_butler.db('file directory/filename.csv')
```
### Authors
Keerthi Pullela, Rahul Madhu, Rukmini Sunil, Sagar Kurada, Xema Pathak

### Acknowledgments
Professor Matthew Lanham, 
Krannert School of Management,
Purdue University\
Mike Lutz, Caleb Keller, 
Samtec Inc.
kinmspytest 2.0.10
Kinematic molecular simulation tool for astronomers
Requires Python: >=3.5

The KinMS (KINematic Molecular Simulation) package can be used to simulate observations of arbitary molecular/atomic cold gas distributions. The routines are written with flexibility in mind, and have been used in various different applications, including investigating the kinematics of molecular gas in early-type galaxies (Davis et al, MNRAS, Volume 429, Issue 1, p.534-555, 2013), and determining supermassive black-hole masses from CO interfermetric observations (Davis et al., Nature, 2013). They are also useful for creating input datacubes for further simulation in e.g. CASA's sim_observe tool.