advertools
advertools - online marketing productivity and analysis tools (by eliasdabbas)
Tweepy
Twitter for Python! (by tweepy)
| advertools | Tweepy | |
|---|---|---|
| 1 | 29 | |
| 1,058 | 10,258 | |
| - | 0.5% | |
| 9.2 | 4.6 | |
| 4 days ago | 11 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
advertools
Posts with mentions or reviews of advertools.
We have used some of these posts to build our list of alternatives
and similar projects.
Tweepy
Posts with mentions or reviews of Tweepy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-10.
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Twitter API Reverse Engineered
How is this much different than what tweepy does?
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question about the excitability of a project
There are plenty of open source modules you can use, such as tweepy, which will make it a lot easier for you.
- How can do I grow my Newsletter?
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Measuring World Cup sentiment with Twitter and Tinybird
I chose Python as a language to handle the streaming, because a) it’s the language I’m strongest in, and b) because of tweepy.
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Creating a twitter bot to automatically post Bitcoin and Ethereum prices.
· Tweepy. An easy-to-use Python library for accessing the Twitter API.
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How to analyze edited Tweets with the Twitter API v2 using Python
As announced in this blog post, the Twitter API v2 supports the ability to get metadata about edited Tweets. In this short guide, I will showcase how developers and researchers can get information about edited Tweets from the Twitter API v2 in Python using Tweepy.
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Setting up AWS Code Pipeline to automate deployment of tweets streaming application
In this tutorial, we will configure AWS CodePipeline to build an ECR image and deploy the latest version to lambda container. The application code will stream tweets using Tweepy, a Python library for accessing the Twitter API. First we need to setup CodePipeline and the various stages to deploy application code to lambda image which will stream tweets when invoked. The intended devops architecture is as below.
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Deployment for Twitter bots: 3 Alternatives to Traditional Cloud
That means you need a requirements.txt file in your repo somewhere, and it needs to list the dependencies for your project. A good way of knowing what the dependencies are is to check what you imported at the beginning of your python file. For my bots, I need Tweepy, config, and Python-dotenv Requirements.txt looks like this for Divas, my Twitter Bot Collection.
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Is there a tool that can automatically extract information about posts on Twitter (content, likes, comments, etc) 24h after an account has posted it?
you can easily make a simple script with tweepy that scrapes the data and puts it into whatever file you need
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Analyzing images using the Twitter API v2 and AWS
In order to use the Twitter API v2, you need to apply for a Twitter developer account. Once you have an approved Twitter developer account, follow the instruction here to obtain your BEARER TOKEN that you will use to connect to the Twitter API v2 in you code in Python. We will be using the Tweepy package in Python to get images from the Twitter API v2, so you will need to have Python as well as the Tweepy package installed on your machine. Instructions on installing the Tweepy package can be found in this tutorial.
What are some alternatives?
When comparing advertools and Tweepy you can also consider the following projects:
Social-Amnesia - Forget the past. Social Amnesia makes sure your social media accounts only show your posts from recent history, not from "that phase" 5 years ago.
twarc - A command line tool (and Python library) for archiving Twitter JSON
TwitterAPI - Minimal python wrapper for Twitter's REST and Streaming APIs
cornice - Build Web Services with Pyramid.
local-google-serp - Google Search Engine Results Pages (SERP) in local (WIP)
Python Blogs - A curated list of python programming language blogs
pleroma-bot - Bot for mirroring one or multiple Twitter accounts in Pleroma/Mastodon/Misskey.
doccano - Open source annotation tool for machine learning practitioners.
dfp-prebid-setup - Automated line item generator for Prebid.js and Google Ad Manager
django-rest-framework - Web APIs for Django. 🎸
webscraping-from-0-to-hero - The web scraping open project repository aims to share knowledge and experiences about web scraping with Python
twurl - OAuth-enabled curl for the Twitter API
advertools vs Social-Amnesia
Tweepy vs twarc
advertools vs TwitterAPI
Tweepy vs cornice
advertools vs local-google-serp
Tweepy vs Python Blogs
advertools vs pleroma-bot
Tweepy vs doccano
advertools vs dfp-prebid-setup
Tweepy vs django-rest-framework
advertools vs webscraping-from-0-to-hero
Tweepy vs twurl