stocksight VS tweets-docker-pipeline

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

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stocksight tweets-docker-pipeline
2 2
1,994 2
- -
0.0 0.0
5 months ago over 2 years ago
Python Python
Apache License 2.0 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.

stocksight

Posts with mentions or reviews of stocksight. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-17.

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 stocksight and tweets-docker-pipeline you can also consider the following projects:

freqtrade - Free, open source crypto trading bot

twurl - OAuth-enabled curl for the Twitter API

etf4u - 📊 Python tool to scrape real-time information about ETFs from the web and mixing them together by proportionally distributing their assets allocation

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.

WordDumb - A calibre plugin that generates Kindle Word Wise and X-Ray files for KFX, AZW3, MOBI and EPUB eBook.

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

trendet - :chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend:

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

nepse-api - NEPSE API wrapper fetches the data from Nepali Stock Site and provides them in a pythonic and usable way.

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

twitter-stock-sentiment - Use twitter to get live and trending stock sentiment!

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