FeatureHub VS evalml

Compare FeatureHub vs evalml 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)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
FeatureHub evalml
1 2
6 713
- 1.1%
7.6 8.7
10 months ago 9 days ago
Python
MIT License BSD 3-clause "New" or "Revised" License
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.

evalml

Posts with mentions or reviews of evalml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-19.

What are some alternatives?

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

cascade - Lightweight and modular MLOps library targeted at small teams or individuals

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

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]

easyopt - zero-code hyperparameters optimization framework

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

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

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

SAP-HANA-AutoML - Python Automated Machine Learning library for tabular data.

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.

Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.