evalml VS SAP-HANA-AutoML

Compare evalml vs SAP-HANA-AutoML and see what are their differences.

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
evalml SAP-HANA-AutoML
2 1
712 48
1.0% -
8.7 1.5
7 days ago over 1 year ago
Python Python
BSD 3-clause "New" or "Revised" License MIT 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.

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.

SAP-HANA-AutoML

Posts with mentions or reviews of SAP-HANA-AutoML. We have used some of these posts to build our list of alternatives and similar projects.
  • Introducing my AutoML library
    1 project | /r/datascience | 18 Jun 2021
    I'm excited to introduce you my (and another great developer) school diploma project. Fully open-source, Automated Machine Learning Library! We are beating built-in AutoML in SAP famous product. GitHub repository (waiting for your stars): https://github.com/dan0nchik/SAP-HANA-AutoML Web-application for users who don't want to code: https://share.streamlit.io/dan0nchik/sap-hana-automl/main/web.py

What are some alternatives?

When comparing evalml and SAP-HANA-AutoML you can also consider the following projects:

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

autoai - Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.

easyopt - zero-code hyperparameters optimization framework

ds2ai-python - The MLOps platform for innovators 🚀

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.

sigopt-server - Open Source version of SigOpt API, performing hyperparameter optimization and visualization

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

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

optuna-examples - Examples for https://github.com/optuna/optuna

powershap - A power-full Shapley feature selection method.

causalgraph - A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.