causalgraph VS SAP-HANA-AutoML

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

causalgraph

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

SAP-HANA-AutoML

Python Automated Machine Learning library for tabular data. (by dan0nchik)
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causalgraph SAP-HANA-AutoML
1 1
41 48
- -
4.1 1.5
5 months ago over 1 year ago
Python Python
MIT 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.

causalgraph

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

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 causalgraph and SAP-HANA-AutoML you can also consider the following projects:

dowhy - DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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.

CleverCSV - CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

evalml - EvalML is an AutoML library written in python.

audio-plot-lib - This library provides graph sonification functions and has been developed for a project named "Data science and machine learning resources for screen reader users". Please refer to the project page for more details.

ds2ai-python - The MLOps platform for innovators 🚀

sematic - An open-source ML pipeline development platform

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

OSDT - Optimal Sparse Decision Trees

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.

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

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