cryptostore VS tweets-docker-pipeline

Compare cryptostore vs tweets-docker-pipeline and see what are their differences.

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cryptostore tweets-docker-pipeline
35 2
382 2
- -
5.4 0.0
13 days ago over 2 years ago
Python Python
GNU General Public License v3.0 or later 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.

cryptostore

Posts with mentions or reviews of cryptostore. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-06.

tweets-docker-pipeline

Posts with mentions or reviews of tweets-docker-pipeline. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-04.
  • Building a dockerized ETL pipeline for streaming positive tweets
    2 projects | dev.to | 4 Feb 2022
    First, I created an app on Twitter and got my credentials (API key and Access Token). Then, I wrote the Python code for streaming live tweets, using tweepy with my Twitter credentials. I chose to stream the hashtag #OnThisDay (thought it would be interesting to get a daily notification of what happened years ago) and collected the tweet text and user handle.
  • Automate your data processing pipeline in 9 steps ⚙️
    8 projects | dev.to | 4 May 2021
    I was really excited, though also a bit overwhelmed by all the things I had to set up for this project. In total, I spent five days learning the tools, debugging, and building this pipeline with Python (including libraries like Tweepy, TextBlob, VADER, and SQLAlchemy), Postgres, MongoDB, Docker, and Airflow (most frustrating part...). If you're interested to see how I did this, you can check out the project on GitHub and read this blog post.

What are some alternatives?

When comparing cryptostore and tweets-docker-pipeline you can also consider the following projects:

cryptofeed - Cryptocurrency Exchange Websocket Data Feed Handler

twurl - OAuth-enabled curl for the Twitter API

dev-setup - macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.

vaderSentiment - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

guane-intern-fastapi - FastAPI-PostgreSQL-Celery-RabbitMQ-Redis bakcend with Docker containerization

redditcoins-backend - Pull reddit data from APIs and store it in local db

DataEngineeringProject - Example end to end data engineering project.

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

NewsBlur - NewsBlur is a personal news reader that brings people together to talk about the world. A new sound of an old instrument.

Docker Compose - Define and run multi-container applications with Docker

FeedHQ - FeedHQ is a web-based feed reader

PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch