Software Alternatives & Reviews

python-recsys VS RecoMind.io

Compare python-recsys VS RecoMind.io and see what are their differences

python-recsys logo python-recsys

python-recsys is a python library for implementing a recommender system.

RecoMind.io logo RecoMind.io

Personalized recommendations at scale
  • python-recsys Landing page
    Landing page //
    2023-10-07
  • RecoMind.io Landing page
    Landing page //
    2021-09-20

We increase the conversion of your e-commerce with AI Recommendations.

We offer a commission-based service, there is no upfront investment from your part, we only get a small fee when we get you a sale.

We have 4 modalities of recommenders: product recommendation (increase conversion), you might also like (increase chances of buying and up-selling), frequently bought together (cross-selling) and similar items (down-selling).

RecoMind.io

$ Details
freemium
Platforms
REST API Magento Wordpress Browser Web Cross Platform Cloud WooCommerce Shopify

Category Popularity

0-100% (relative to python-recsys and RecoMind.io)
Data Science And Machine Learning
eCommerce
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Data Dashboard
100 100%
0% 0

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What are some alternatives?

When comparing python-recsys and RecoMind.io, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

AWS Personalize - Real-time personalization and recommendation engine in AWS

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Google Recommender API - Google Recommender API is a service on Google Cloud that provides usage recommendations for Google Cloud resources.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

Microsoft Azure Recommendations - Predict what your customers want and increase catalog discoverability