tweets-docker-pipeline VS MongoDB

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

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tweets-docker-pipeline MongoDB
2 250
2 25,487
- 0.8%
0.0 10.0
over 2 years ago 6 days ago
Python C++
MIT License GNU General Public License v3.0 or later
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.

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.

MongoDB

Posts with mentions or reviews of MongoDB. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-05.

What are some alternatives?

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

twurl - OAuth-enabled curl for the Twitter API

mongo-express - Web-based MongoDB admin interface, written with Node.js and express

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.

Marten - .NET Transactional Document DB and Event Store on PostgreSQL

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

LiteDB - LiteDB - A .NET NoSQL Document Store in a single data file

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

LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

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

SQLAlchemy - The Database Toolkit for Python

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

Apache Ignite - Apache Ignite