WallStreetBets_BigDataAnalysis VS reddit-streaming

Compare WallStreetBets_BigDataAnalysis vs reddit-streaming and see what are their differences.

WallStreetBets_BigDataAnalysis

Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏 (by Fryingpannn)

reddit-streaming

streaming eight subreddits from reddit api using kafka producer & spark structured streaming. (by stevenhurwitt)
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WallStreetBets_BigDataAnalysis reddit-streaming
1 1
165 18
- -
0.0 0.0
9 months ago 3 months ago
Jupyter Notebook Jupyter Notebook
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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.

WallStreetBets_BigDataAnalysis

Posts with mentions or reviews of WallStreetBets_BigDataAnalysis. We have used some of these posts to build our list of alternatives and similar projects.

reddit-streaming

Posts with mentions or reviews of reddit-streaming. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing WallStreetBets_BigDataAnalysis and reddit-streaming you can also consider the following projects:

amazon-denseclus - Clustering for mixed-type data

journalist - Journalist. An RSS aggregator.

project - Predict how many points an European football team will end the season with, according to the characteristics of its players. Project for the Big Data Computing course at Sapienza University of Rome (2021-22)

Hello-AWS-Data-Services - AWS Data/MLServices sample code & notes for my LinkedIn Learning courses

dracula - a brief analysis to the most common words in Dracula, by Bram Stoker

firehose - Firehose is an extensible, no-code, and cloud-native service to load real-time streaming data from Kafka to data stores, data lakes, and analytical storage systems.

ESG-AI-investment-by-streamlit - ESG-investment AI

tag-youre-it-backend - 🌐 A real world FastAPI example

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Gather-Deployment - Gathers Python deployment, infrastructure and practices.

NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.

materialize - The data warehouse for operational workloads.