Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
A curated list of awesome Machine Learning frameworks, libraries and software.
Distributed Task Queue (development branch)
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a clo…
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
Event driven concurrent framework for Python
A Django application to manage tickets for an internal helpdesk. Formerly known as Jutda Helpdesk.
GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.
Serverless Ecommerce Platform is a sample implementation of a serverless backend for an e-commerce website. This sample is not meant to be used as an e-commerce platform as-is, but as an inspiratio…
Source for Google Click to Deploy solutions listed on Google Cloud Marketplace.
A small program to detect gibberish using a Markov Chain
Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
The Image Moderator Chatbot serverless reference architecture demonstrates how to leverage Amazon Rekognition's image moderation deep learning feature to automatically remove messages containing ex…
Item and User-based KNN recommendation algorithms using PySpark
☁🌐 wq's db library, extending Django REST framework to support apps for geospatial field data collection, citizen science, and crowdsourcing.
django-rest-framework-mongoengine-example
Final Project for IoT: Big Data Processing and Analytics class. Analyzing U.S nationwide temperature from IoT sensors in real-time
Real-time report dashboard with Apache Kafka, Apache Spark Streaming and Node.js
Demo of Asynchronous pattern (worker) using Python Flask & Celery
Provides a slash command to create polls in Mattermost
An experimental server-less BitTorrent tracker. Powered by Zappa, Flask and (DynamoDB or S3).