Leverage Twitter API v2 to analyze tweet metrics such as impressions and profile clicks over time.

Overview

Tweetmetric

Tweetmetric allows you to track various metrics on your most recent tweets, such as impressions, retweets and clicks on your profile.

example image

The code is in Python, and the frontend uses Dash (a Plotly web interface). Tweetmetric uses Redis as a fast database

Install and run

Installation

Run the following commands to install the project and start Redis:

pip install redis dash pandas tweepy pytz
sudo apt install redis
redis-server

If you want the database to be persistent after reboots, enable Redis AOF by adding appendonly yes to your Redis configuration file (usually in /etc/redis/redis.conf)

Getting Twitter tokens

Tweetmetric uses private metrics that can only be accessed by the Tweet's owner. You need to provide your API keys to the program so it can work.

  • Request a Twitter API key on The Twitter developer portal. This only takes a couple minutes, you need to have a verified phone number on your account.
  • Generate a user token for the app you just created on the developer dashboard
  • You should now have 5 secrets provided by Twitter. Store them in their corresponding strings inside api_secrets.py

Start

Your environment should be ready now. To run the server in background :

./launch.sh

This command displays server logs, but exiting with Ctrl-C will not kill the server.

Owner
Mathis HAMMEL
Competitive programmer, CTF player
Mathis HAMMEL
Using Python to derive insights on particular Pokemon, Types, Generations, and Stats

Pokémon Analysis Andreas Nikolaidis February 2022 Introduction Exploratory Analysis Correlations & Descriptive Statistics Principal Component Analysis

Andreas 1 Feb 18, 2022
Integrate bus data from a variety of sources (batch processing and real time processing).

Purpose: This is integrate bus data from a variety of sources such as: csv, json api, sensor data ... into Relational Database (batch processing and r

1 Nov 25, 2021
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
CleanX is an open source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological images.

cleanX CleanX is an open source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological

Candace Makeda Moore, MD 20 Jan 05, 2023
Flood modeling by 2D shallow water equation

hydraulicmodel Flood modeling by 2D shallow water equation. Refer to Hunter et al (2005), Bates et al. (2010). Diffusive wave approximation Local iner

6 Nov 30, 2022
Code for the DH project "Dhimmis & Muslims – Analysing Multireligious Spaces in the Medieval Muslim World"

Damast This repository contains code developed for the digital humanities project "Dhimmis & Muslims – Analysing Multireligious Spaces in the Medieval

University of Stuttgart Visualization Research Center 2 Jul 01, 2022
A Python package for the mathematical modeling of infectious diseases via compartmental models

A Python package for the mathematical modeling of infectious diseases via compartmental models. Originally designed for epidemiologists, epispot can be adapted for almost any type of modeling scenari

epispot 12 Dec 28, 2022
Processo de ETL (extração, transformação, carregamento) realizado pela equipe no projeto final do curso da Soul Code Academy.

Processo de ETL (extração, transformação, carregamento) realizado pela equipe no projeto final do curso da Soul Code Academy.

Débora Mendes de Azevedo 1 Feb 03, 2022
Python library for creating data pipelines with chain functional programming

PyFunctional Features PyFunctional makes creating data pipelines easy by using chained functional operators. Here are a few examples of what it can do

Pedro Rodriguez 2.1k Jan 05, 2023
Using Python to scrape some basic player information from www.premierleague.com and then use Pandas to analyse said data.

PremiershipPlayerAnalysis Using Python to scrape some basic player information from www.premierleague.com and then use Pandas to analyse said data. No

5 Sep 06, 2021
small package with utility functions for analyzing (fly) calcium imaging data

fly2p Tools for analyzing two-photon (2p) imaging data collected with Vidrio Scanimage software and micromanger. Loading scanimage data relies on scan

Hannah Haberkern 3 Dec 14, 2022
BasstatPL is a package for performing different tabulations and calculations for descriptive statistics.

BasstatPL is a package for performing different tabulations and calculations for descriptive statistics. It provides: Frequency table constr

Angel Chavez 1 Oct 31, 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
Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences

Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences. Copula and functional Principle Component Analysis (fPCA) are st

32 Dec 20, 2022
Flexible HDF5 saving/loading and other data science tools from the University of Chicago

deepdish Flexible HDF5 saving/loading and other data science tools from the University of Chicago. This repository also host a Deep Learning blog: htt

UChicago - Department of Computer Science 255 Dec 10, 2022
Python-based Space Physics Environment Data Analysis Software

pySPEDAS pySPEDAS is an implementation of the SPEDAS framework for Python. The Space Physics Environment Data Analysis Software (SPEDAS) framework is

SPEDAS 98 Dec 22, 2022
[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
Analytical view of olist e-commerce in Brazil

Analysis of E-Commerce Public Dataset by Olist The objective of this project is to propose an analytical view of olist e-commerce in Brazil. For this

Gurpreet Singh 1 Jan 11, 2022
ToeholdTools is a Python package and desktop app designed to facilitate analyzing and designing toehold switches, created as part of the 2021 iGEM competition.

ToeholdTools Category Status Repository Package Build Quality A library for the analysis of toehold switch riboregulators created by the iGEM team Cit

0 Dec 01, 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