CaterApp is a cross platform, remotely data sharing tool created for sharing files in a quick and secured manner.

Related tags

Data Analysispythonapplicationdatapipdata-sharingcatercaterapp
Overview

CaterApp - v1.1

Installation    |    Usage    |    Contributing

icon banner

Python minimum version cater minimum version License: MIT Website Twitter current version

✉️ Description

CaterApp is a cross platform, remotely data sharing tool created for sharing files in a quick and secured manner. It is aimed to integrate this tool with several more features including providing a User Interface.
The version 1.1 of the CaterApp currently works with command line interface i.e. CLI.

💥 What's so exciting ?

CaterApp comes with a range of fantastic features for you:

  1. Share any type of file, including large videos and compressed documents.
  2. You can choose as much files as you want.
  3. Keeps you updated with the file, i.e. being shared in real time.
  4. Also, it displays the size of files (in bytes).
  5. Automatically detects sender's IP.
  6. Compresses multiple files before sending, if asked to do that.
  7. Tells the speed at which the data got delivered and a lot more...

📌 Installation

This is a python application that relies on its cater module.

❓ Requirements

  1. A device with any operating system having bash / zsh terminal or python shell(preferred Linux)
  2. Python 3.2 or higher version
  3. pip (latest recommended)

➡ Steps to Install

Installation can be done through CLI in just a few of the simple steps:

  1. Either clone this repository or simply download the CaterApp-v1.1 here (tar, zip)
  2. Extract the compressed file (if you have cloned/downloaded) and navigate into CaterApp directory
  3. Execute the installer.sh to install the application through following terminal command:
$ ./installer.sh

Alternate Method

If you love the terminal than following method is indeed for you:

$ wget https://github.com/ravi-prakash1907/CaterApp/archive/refs/tags/v1.1.zip
$ unzip v1.1.zip
$ cd CaterApp-1.1
$ sh ./installer.sh

After successful installation, you should see something like this:
installing screenshot

🤔 Usage

Once you have installed the application on your system, you can simply access CaterApp tool with a single command as follows:

$ cater-app

As an alternative, you can also follow the following:

$ cd ~/CaterApp/caterapp
$ python cater.py

You can find a brief and perfect usage demo at this Medium article.

Remember

  1. Keep the file(s) in current working directory, that you want to share.
  2. All your received files will appear in received/ directory at the current location.
  3. Both - the sender and receiver must be at the same network.
  4. To know your current location before sharing / receiving the files, run:
$ pwd

To use the app without installation, please refer to this link.

🤝 Contributing

If you wish to contribute in this project, you can always fork this repo and generate a pull request with new changes. You may also raise issues, if any.

🌟 Happy sharing!!! 🌟

Developed by ravi with ❤️ in 🐍

You might also like...
nrgpy is the Python package for processing NRG Data Files

nrgpy nrgpy is the Python package for processing NRG Data Files Website and source: https://github.com/nrgpy/nrgpy Documentation: https://nrgpy.github

NRG Tech Services 23 Dec 8, 2022
Elementary is an open-source data reliability framework for modern data teams. The first module of the framework is data lineage.
Elementary is an open-source data reliability framework for modern data teams. The first module of the framework is data lineage.

Data lineage made simple, reliable, and automated. Effortlessly track the flow of data, understand dependencies and analyze impact. Features Visualiza

null 898 Jan 9, 2023
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

PyStan PyStan is a Python interface to Stan, a package for Bayesian inference. Stan® is a state-of-the-art platform for statistical modeling and high-

Stan 229 Dec 29, 2022
🧪 Panel-Chemistry - exploratory data analysis and build powerful data and viz tools within the domain of Chemistry using Python and HoloViz Panel.
🧪 Panel-Chemistry - exploratory data analysis and build powerful data and viz tools within the domain of Chemistry using Python and HoloViz Panel.

🧪📈 🐍. The purpose of the panel-chemistry project is to make it really easy for you to do DATA ANALYSIS and build powerful DATA AND VIZ APPLICATIONS within the domain of Chemistry using using Python and HoloViz Panel.

Marc Skov Madsen 97 Dec 8, 2022
This tool parses log data and allows to define analysis pipelines for anomaly detection.
This tool parses log data and allows to define analysis pipelines for anomaly detection.

logdata-anomaly-miner This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis wit

AECID 32 Nov 27, 2022
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python

Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊

Thomas 2 May 26, 2022
PrimaryBid - Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift
PrimaryBid - Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift

Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift This project is composed of two parts: Part1 and Part2

Emmanuel Boateng Sifah 1 Jan 19, 2022
ForecastGA is a Python tool to forecast Google Analytics data using several popular time series models.
ForecastGA is a Python tool to forecast Google Analytics data using several popular time series models.

ForecastGA is a tool that combines a couple of popular libraries, Atspy and googleanalytics, with a few enhancements.

JR Oakes 36 Jan 3, 2023
Flenser is a simple, minimal, automated exploratory data analysis tool.

Flenser Have you ever been handed a dataset you've never seen before? Flenser is a simple, minimal, automated exploratory data analysis tool. It runs

John McCambridge 79 Sep 20, 2022
Comments
Releases(v1.1)
Owner
Ravi Prakash
Cyber Security | @IIITMK
Ravi Prakash
GitHub Repository https://ravi-prakash1907.github.io/CaterApp/
An Indexer that works out-of-the-box when you have less than 100K stored Documents

U100KIndexer An Indexer that works out-of-the-box when you have less than 100K stored Documents. U100K means under 100K. At 100K stored Documents with

Jina AI 7 Mar 15, 2022
PyEmits, a python package for easy manipulation in time-series data.

PyEmits, a python package for easy manipulation in time-series data. Time-series data is very common in real life. Engineering FSI industry (Financial

Thompson 5 Sep 23, 2022
Spectacular AI SDK fuses data from cameras and IMU sensors and outputs an accurate 6-degree-of-freedom pose of a device.

Spectacular AI SDK examples Spectacular AI SDK fuses data from cameras and IMU sensors (accelerometer and gyroscope) and outputs an accurate 6-degree-

Spectacular AI 94 Jan 04, 2023
Detecting Underwater Objects (DUO)

Underwater object detection for robot picking has attracted a lot of interest. However, it is still an unsolved problem due to several challenges. We take steps towards making it more realistic by ad

27 Dec 12, 2022
PyClustering is a Python, C++ data mining library.

pyclustering is a Python, C++ data mining library (clustering algorithm, oscillatory networks, neural networks). The library provides Python and C++ implementations (C++ pyclustering library) of each

Andrei Novikov 1k Jan 05, 2023
Py-price-monitoring - A Python price monitor

A Python price monitor This project was focused on Brazil, so the monitoring is

Samuel 1 Jan 04, 2022
Python script for transferring data between three drives in two separate stages

Waterlock Waterlock is a Python script meant for incrementally transferring data between three folder locations in two separate stages. It performs ha

David Swanlund 13 Nov 10, 2021
Yet Another Workflow Parser for SecurityHub

YAWPS Yet Another Workflow Parser for SecurityHub "Screaming pepper" by Rum Bucolic Ape is licensed with CC BY-ND 2.0. To view a copy of this license,

myoung34 8 Dec 22, 2022
Pyspark project that able to do joins on the spark data frames.

SPARK JOINS This project is to perform inner, all outer joins and semi joins. create_df.py: load_data.py : helps to put data into Spark data frames. d

Joshua 1 Dec 14, 2021
Visions provides an extensible suite of tools to support common data analysis operations

Visions And these visions of data types, they kept us up past the dawn. Visions provides an extensible suite of tools to support common data analysis

168 Dec 28, 2022
DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN

DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN. Allowing for both categorical and numerical data, DenseClus makes it possible to incorporate all features in cluste

Amazon Web Services - Labs 53 Dec 08, 2022
PyPSA: Python for Power System Analysis

1 Python for Power System Analysis Contents 1 Python for Power System Analysis 1.1 About 1.2 Documentation 1.3 Functionality 1.4 Example scripts as Ju

758 Dec 30, 2022
Python Practicum - prepare for your Data Science interview or get a refresher.

Python-Practicum Python Practicum - prepare for your Data Science interview or get a refresher. Data Data visualization using data on births from the

Jovan Trajceski 1 Jul 27, 2021
Projects that implement various aspects of Data Engineering.

DATAWAREHOUSE ON AWS The purpose of this project is to build a datawarehouse to accomodate data of active user activity for music streaming applicatio

2 Oct 14, 2021
[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022

Nested Collaborative Learning for Long-Tailed Visual Recognition This repository is the official PyTorch implementation of the paper in CVPR 2022: Nes

Jun Li 65 Dec 09, 2022
Synthetic Data Generation for tabular, relational and time series data.

An Open Source Project from the Data to AI Lab, at MIT Website: https://sdv.dev Documentation: https://sdv.dev/SDV User Guides Developer Guides Github

The Synthetic Data Vault Project 1.2k Jan 07, 2023
CS50 pset9: Using flask API to create a web application to exchange stocks' shares.

C$50 Finance In this guide we want to implement a website via which users can “register”, “login” “buy” and “sell” stocks, like below: Background If y

1 Jan 24, 2022
A distributed block-based data storage and compute engine

Nebula is an extremely-fast end-to-end interactive big data analytics solution. Nebula is designed as a high-performance columnar data storage and tabular OLAP engine.

Columns AI 131 Dec 26, 2022
ForecastGA is a Python tool to forecast Google Analytics data using several popular time series models.

ForecastGA is a tool that combines a couple of popular libraries, Atspy and googleanalytics, with a few enhancements.

JR Oakes 36 Jan 03, 2023
Pypeln is a simple yet powerful Python library for creating concurrent data pipelines.

Pypeln Pypeln (pronounced as "pypeline") is a simple yet powerful Python library for creating concurrent data pipelines. Main Features Simple: Pypeln

Cristian Garcia 1.4k Dec 31, 2022