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

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

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

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-

 🧪 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.

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

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 📊

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

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.

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

Comments
Releases(v1.1)
Owner
Ravi Prakash
Cyber Security | @IIITMK
Ravi Prakash
A simple and efficient tool to parallelize Pandas operations on all available CPUs

Pandaral·lel Without parallelization With parallelization Installation $ pip install pandarallel [--upgrade] [--user] Requirements On Windows, Pandara

Manu NALEPA 2.8k Dec 31, 2022
Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data.

Hatchet Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data. It is intended for analyzing

Lawrence Livermore National Laboratory 14 Aug 19, 2022
Efficient matrix representations for working with tabular data

Efficient matrix representations for working with tabular data

QuantCo 70 Dec 14, 2022
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation [ECCV2020]

MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation [ECCV2020] by Kaisiyuan Wang, Qianyi Wu, Linsen Song, Zhuoqian Yang, Wa

112 Dec 28, 2022
WithPipe is a simple utility for functional piping in Python.

A utility for functional piping in Python that allows you to access any function in any scope as a partial.

Michael Milton 1 Oct 26, 2021
GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors

GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors. GWpy provides a user-f

GWpy 342 Jan 07, 2023
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
MIR Cheatsheet - Survival Guidebook for MIR Researchers in the Lab

MIR Cheatsheet - Survival Guidebook for MIR Researchers in the Lab

SeungHeonDoh 3 Jul 02, 2022
ped-crash-techvol: Texas Ped Crash Tech Volume Pack

ped-crash-techvol: Texas Ped Crash Tech Volume Pack In conjunction with the Final Report "Identifying Risk Factors that Lead to Increase in Fatal Pede

Network Modeling Center; Center for Transportation Research; The University of Texas at Austin 2 Sep 28, 2022
An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify.

An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify. The ETL process flows from AWS's S3 into staging tables in AWS Redshift.

1 Feb 11, 2022
Containerized Demo of Apache Spark MLlib on a Data Lakehouse (2022)

Spark-DeltaLake-Demo Reliable, Scalable Machine Learning (2022) This project was completed in an attempt to become better acquainted with the latest b

8 Mar 21, 2022
WaveFake: A Data Set to Facilitate Audio DeepFake Detection

WaveFake: A Data Set to Facilitate Audio DeepFake Detection This is the code repository for our NeurIPS 2021 (Track on Datasets and Benchmarks) paper

Chair for Sys­tems Se­cu­ri­ty 27 Dec 22, 2022
PyPDC is a Python package for calculating asymptotic Partial Directed Coherence estimations for brain connectivity analysis.

Python asymptotic Partial Directed Coherence and Directed Coherence estimation package for brain connectivity analysis. Free software: MIT license Doc

Heitor Baldo 3 Nov 26, 2022
Get mutations in cluster by querying from LAPIS API

Cluster Mutation Script Get mutations appearing within user-defined clusters. Usage Clusters are defined in the clusters dict in main.py: clusters = {

neherlab 1 Oct 22, 2021
Minimal working example of data acquisition with nidaqmx python API

Data Aquisition using NI-DAQmx python API Based on this project It is a minimal working example for data acquisition using the NI-DAQmx python API. It

Pablo 1 Nov 05, 2021
COVID-19 deaths statistics around the world

COVID-19-Deaths-Dataset COVID-19 deaths statistics around the world This is a daily updated dataset of COVID-19 deaths around the world. The dataset c

Nisa Efendioğlu 4 Jul 10, 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
Meltano: ELT for the DataOps era. Meltano is open source, self-hosted, CLI-first, debuggable, and extensible.

Meltano is open source, self-hosted, CLI-first, debuggable, and extensible. Pipelines are code, ready to be version c

Meltano 625 Jan 02, 2023
WAL enables programmable waveform analysis.

This repro introcudes the Waveform Analysis Language (WAL). The initial paper on WAL will appear at ASPDAC'22 and can be downloaded here: https://www.

Institute for Complex Systems (ICS), Johannes Kepler University Linz 40 Dec 13, 2022
HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets

HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets that can be described as multidimensional arrays o

HyperSpy 411 Dec 27, 2022