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
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis. You write a high level configuration file specifying your in

Blue Collar Bioinformatics 917 Jan 03, 2023
First and foremost, we want dbt documentation to retain a DRY principle. Every time we repeat ourselves, we waste our time. Second, we want to understand column level lineage and automate impact analysis.

dbt-osmosis First and foremost, we want dbt documentation to retain a DRY principle. Every time we repeat ourselves, we waste our time. Second, we wan

Alexander Butler 150 Jan 06, 2023
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
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

898 Jan 09, 2023
Very useful and necessary functions that simplify working with data

Additional-function-for-pandas Very useful and necessary functions that simplify working with data random_fill_nan(module_name, nan) - Replaces all sp

Alexander Goldian 2 Dec 02, 2021
This creates a ohlc timeseries from downloaded CSV files from NSE India website and makes a SQLite database for your research.

NSE-timeseries-form-CSV-file-creator-and-SQL-appender- This creates a ohlc timeseries from downloaded CSV files from National Stock Exchange India (NS

PILLAI, Amal 1 Oct 02, 2022
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
Useful tool for inserting DataFrames into the Excel sheet.

PyCellFrame Insert Pandas DataFrames into the Excel sheet with a bunch of conditions Install pip install pycellframe Usage Examples Let's suppose that

Luka Sosiashvili 1 Feb 16, 2022
A crude Hy handle on Pandas library

Quickstart Hyenas is a curde Hy handle written on top of Pandas API to allow for more elegant access to data-scientist's powerhouse that is Pandas. In

Peter Výboch 4 Sep 05, 2022
Two phase pipeline + StreamlitTwo phase pipeline + Streamlit

Two phase pipeline + Streamlit This is an example project that demonstrates how to create a pipeline that consists of two phases of execution. In betw

Rick Lamers 1 Nov 17, 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
PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

PandaPy "I came across PandaPy last week and have already used it in my current project. It is a fascinating Python library with a lot of potential to

Derek Snow 527 Jan 02, 2023
Zipline, a Pythonic Algorithmic Trading Library

Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backte

Quantopian, Inc. 15.7k Jan 07, 2023
🌍 Create 3d-printable STLs from satellite elevation data 🌏

mapa 🌍 Create 3d-printable STLs from satellite elevation data Installation pip install mapa Usage mapa uses numpy and numba under the hood to crunch

Fabian Gebhart 13 Dec 15, 2022
Spaghetti: an open-source Python library for the analysis of network-based spatial data

pysal/spaghetti SPAtial GrapHs: nETworks, Topology, & Inference Spaghetti is an open-source Python library for the analysis of network-based spatial d

Python Spatial Analysis Library 203 Jan 03, 2023
Snakemake workflow for converting FASTQ files to self-contained CRAM files with maximum lossless compression.

Snakemake workflow: name A Snakemake workflow for description Usage The usage of this workflow is described in the Snakemake Workflow Catalog. If

Algorithms for reproducible bioinformatics (Koesterlab) 1 Dec 16, 2021
A data structure that extends pyspark.sql.DataFrame with metadata information.

MetaFrame A data structure that extends pyspark.sql.DataFrame with metadata info

Invent Analytics 8 Feb 15, 2022
🧪 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 a

Marc Skov Madsen 97 Dec 08, 2022
Convert tables stored as images to an usable .csv file

Convert an image of numbers to a .csv file This Python program aims to convert images of array numbers to corresponding .csv files. It uses OpenCV for

711 Dec 26, 2022
A Python package for modular causal inference analysis and model evaluations

Causal Inference 360 A Python package for inferring causal effects from observational data. Description Causal inference analysis enables estimating t

International Business Machines 506 Dec 19, 2022