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Tweepy Alternatives
Similar projects and alternatives to Tweepy
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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connexion
Swagger/OpenAPI First framework for Python on top of Flask with automatic endpoint validation & OAuth2 support
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twitter-api-typescript-sdk
A TypeScript SDK for the Twitter API
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PEP 8 Speaks
A GitHub :octocat: app to automatically review Python code style over Pull Requests
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textual
Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.
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getting-started-with-the-twitter-api-v2-for-academic-research
A course on getting started with the Twitter API v2 for academic research
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deepgram-python-sdk
Official Python SDK for Deepgram's automated speech recognition APIs.
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twitter_list_mgmt
A python package for improving your lists on Twitter by using lists from others
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deepwordle
deepwordle is a wordle clone game powered by deepgram, textual, tweepy, and friends. (by wiseaidev)
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AWS-CICD
Examples of setting up CI-CD pipelines using AWS code pipeline for software delivery automation. Using CodeCommit, CodeBuild and CodeDeploy for versioning, building, testing and deploying applications in the cloud.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Tweepy reviews and mentions
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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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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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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.
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A guide to working with the Batch Compliance endpoints in the Twitter API v2
The batch compliance endpoints allow Twitter developers to to upload large datasets of Tweet or User IDs to get their compliance status in order to determine what data requires action in order to keep their datasets in compliance with Twitter's developer policy. In this guide, I will show you how to use these batch compliance endpoints in Python using the Tweepy library.
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Level Up Your Wordle Game With Deepgram AI.
Then I had that moment: "This is it. This is my purpose. This is why I need to participate in this event." And deepwordle was born: A TUI based wordle clone powered by Python, Deepgram, Textual, Tweepy, and friends :-).
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Using Twitter's API to Gather Tweet Stats (and Follower Data) in Python
Since the Twitter API is a well-documented REST-API, we could build all our queries to it ourselves. However, there are Python packages that allow us to access the Twitter API in a much more comfortable way. The most prominent packages for that purpose are tweepy and TwitterAPI. For this guide, we use the latter.
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Twitter Analytics and data storage via API - some help needed
Depending on the rigor you need out of this, a simple process like running twarc against your list of Twitter handles or IDs on a set interval may be sufficient. Then just process the output into whichever database you want it in. For my own process I run a custom scraper based on tweepy, but I'm ingesting around 80M tweets per month. This is all well within the API limits set out by Twitter, using just 1 account.
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A comprehensive guide for using the Twitter API v2 with Tweepy in Python
Tweepy is a popular package in Python used by students, researchers and developers for interacting with the Twitter API. Recently, the version 4.0 of this package was released that supports the Twitter API v2 and the academic research product track. In this guide, we will learn how to use the various functionality available in the Twitter API v2, using Tweepy.
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A note from our sponsor - InfluxDB
www.influxdata.com | 1 Feb 2023
Stats
tweepy/tweepy is an open source project licensed under MIT License which is an OSI approved license.