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/
Describing statistical models in Python using symbolic formulas

Patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design mat

Python for Data 866 Dec 16, 2022
Hue Editor: Open source SQL Query Assistant for Databases/Warehouses

Hue Editor: Open source SQL Query Assistant for Databases/Warehouses

Cloudera 759 Jan 07, 2023
Manage large and heterogeneous data spaces on the file system.

signac - simple data management The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, and reproduc

Glotzer Group 109 Dec 14, 2022
Analyze the Gravitational wave data stored at LIGO/VIRGO observatories

Gravitational-Wave-Analysis This project showcases how to analyze the Gravitational wave data stored at LIGO/VIRGO observatories, using Python program

1 Jan 23, 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
Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.

Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.

2 Nov 20, 2021
Stitch together Nanopore tiled amplicon data without polishing a reference

Stitch together Nanopore tiled amplicon data using a reference guided approach Tiled amplicon data, like those produced from primers designed with pri

Amanda Warr 14 Aug 30, 2022
Tokyo 2020 Paralympics, Analytics

Tokyo 2020 Paralympics, Analytics Thanks for checking out my app! It was built entirely using matplotlib and Tokyo 2020 Paralympics data. This applica

Petro Ivaniuk 1 Nov 18, 2021
The Master's in Data Science Program run by the Faculty of Mathematics and Information Science

The Master's in Data Science Program run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data a

Amir Ali 2 Jun 17, 2022
Analysis scripts for QG equations

qg-edgeofchaos Analysis scripts for QG equations FIle/Folder Structure eigensolvers.py - Spectral and finite-difference solvers for Rossby wave eigenf

Norman Cao 2 Sep 27, 2022
The official pytorch implementation of ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias

ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias Introduction | Updates | Usage | Results&Pretrained Models | Statement | Intr

104 Nov 27, 2022
This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP.

Overview Welcome to the Step-X repository. This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP. Be

Keanu Pang 0 Jan 20, 2022
Using approximate bayesian posteriors in deep nets for active learning

Bayesian Active Learning (BaaL) BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components

ElementAI 687 Dec 25, 2022
This project is the implementation template for HW 0 and HW 1 for both the programming and non-programming tracks

This project is the implementation template for HW 0 and HW 1 for both the programming and non-programming tracks

Donald F. Ferguson 4 Mar 06, 2022
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
bigdata_analyse 大数据分析项目

bigdata_analyse 大数据分析项目 wish 采用不同的技术栈，通过对不同行业的数据集进行分析，期望达到以下目标： 了解不同领域的业务分析指标 深化数据处理、数据分析、数据可视化能力 增加大数据批处理、流处理的实践经验 增加数据挖掘的实践经验

Way 2.4k Dec 30, 2022
A set of functions and analysis classes for solvation structure analysis

SolvationAnalysis The macroscopic behavior of a liquid is determined by its microscopic structure. For ionic systems, like batteries and many enzymes,

MDAnalysis 19 Nov 24, 2022
BIGDATA SIMULATION ONE PIECE WORLD CENSUS

ONE PIECE is a Japanese manga of great international success. The story turns inhabited in a fictional world, tells the adventures of a young man whose body gained rubber properties after accidentall

Maycon Cypriano 3 Jun 30, 2022
Project under the certification "Data Analysis with Python" on FreeCodeCamp

Sea Level Predictor Assignment You will anaylize a dataset of the global average sea level change since 1880. You will use the data to predict the sea

Bhavya Gopal 3 Jan 31, 2022
CubingB is a timer/analyzer for speedsolving Rubik's cubes, with smart cube support

CubingB is a timer/analyzer for speedsolving Rubik's cubes (and related puzzles). It focuses on supporting "smart cubes" (i.e. bluetooth cubes) for recording the exact moves of a solve in real time.

Zach Wegner 5 Sep 18, 2022