semvec/pypi-packages huggingface dataset:
InstagramReelDownloader 1.1
Instagram reel downloader using Selenium WebDriver.
Requires Python: >=3.8
Keywords: InstagramReelDownloader, Instagram, Reel Downloader, Instagram Reel

# Instagram Reel Downloader

## Overview
This project aims to build a headless Instagram reel downloader using Selenium WebDriver.

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[//]: # ([![Downloads]&#40;https://static.pepy.tech/badge/ActiveCollab&#41;]&#40;https://pepy.tech/project/ActiveCollab&#41; <br>)

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## Installation

```console
pip install InstagramReelDownloader
```
InstagramReelDownloader officially supports Python 3.8+.

## Usage

### Default
```python
from InstagramReelDownloader import ReelDownload

ReelDownload(reel_url) # url can be in any format can also pass file name else it will use "reel.mp4"
```
LimeNDAdecoder 1.3.0
Python Package for working with NDA files, specifically for people at Lime.AI
Requires Python: >=3.8

# NDA
This is a module created by Lime.AI to read nda files and recreate the excel sheet produced by the BTS software. 

This includes two files nda_version_8_0.py & nda_functions.py.
# nda_version_8_0.py
 File to decode data from .nda file to usable form.
# nda_functions.py
File that includes lot of functions that allows users to get data from the decoded data. Below are the function names to call and the arguments to pass.

# Functions to be used and called:  
### records
Args: (nda file path)
- Returns a Dataframe record-wise for the nda file.
- Add second arguement as True if you want the coloumns renamed (data units converted) to same as that produced in the NEWARE excel file
### cycle
Args: (records dataframe or nda file path)<br>
When passed an nda file or the records data, it returns Cycle-wise data identical to the cycle sheet in the excel file of the test.
### step
Args: (records dataframe or nda file path)<br>
When passed an nda file or the records data, it returns Step-wise data identical to the cycle sheet in the excel file of the test.

### get_process_name
Args: (nda file path)<br>
returns Recipe Name for passed NDA file
### get_barcode
Args: (nda file path)<br
returns Barcode for passed NDA file
### get_start_time
Args: (nda file path)<br>
returns Start Time for passed NDA file