FeatureHub VS cascade

Compare FeatureHub vs cascade and see what are their differences.

FeatureHub

The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide (by FeatureHub-AI)

cascade

Lightweight and modular MLOps library targeted at small teams or individuals (by Oxid15)
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FeatureHub cascade
1 9
6 16
- -
7.6 9.3
10 months ago 5 days ago
Python
MIT License Apache License 2.0
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.

FeatureHub

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

cascade

Posts with mentions or reviews of cascade. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-12.

What are some alternatives?

When comparing FeatureHub and cascade you can also consider the following projects:

Deep-Learning-Machine-Learning-Stock - Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders. [Moved to: https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock]

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

evalml - EvalML is an AutoML library written in python.

NVTabular - NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials

powershap - A power-full Shapley feature selection method.

upgini - Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

ds2 - Easiest way to use AI models without coding (Web UI & API support)

desbordante-core - Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle