NVTabular VS cascade

Compare NVTabular vs cascade and see what are their differences.

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. (by NVIDIA-Merlin)
Deep Learning feature-engineering feature-selection GPU Machine Learning Nvidia preprocessing recommendation-system recommender-system
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cascade

Lightweight and modular MLOps library targeted at small teams or individuals (by Oxid15)
Machine Learning ML Mlops feature-selection model-selection model-lifecycle Deep Learning
Source Code
oxid15.github.io
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NVTabular cascade
1 9
1,006 16
1.2% -
5.5 9.5
4 days ago 16 days ago
Python Python
Apache License 2.0 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.

NVTabular

Posts with mentions or reviews of NVTabular. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-08.

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 NVTabular and cascade you can also consider the following projects:

dbt-expectations - Port(ish) of Great Expectations to dbt test macros

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

Scio - A Scala API for Apache Beam and Google Cloud Dataflow.

powershap - A power-full Shapley feature selection method.

cuetils - CLI and library for diff, patch, and ETL operations on CUE, JSON, and Yaml

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

federeco - implementation of federated neural collaborative filtering algorithm

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

daggy

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

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

NVTabular vs dbt-expectations cascade vs deeplake NVTabular vs Scio cascade vs powershap NVTabular vs cuetils cascade vs zenml NVTabular vs federeco cascade vs ds2 NVTabular vs daggy cascade vs FeatureHub NVTabular vs powershap cascade vs polyaxon