Auto_ViML VS sapientml

Compare Auto_ViML vs sapientml and see what are their differences.

Auto_ViML

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request. (by AutoViML)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Auto_ViML sapientml
2 1
490 426
- 3.3%
4.2 8.5
5 months 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.

Auto_ViML

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

sapientml

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

What are some alternatives?

When comparing Auto_ViML and sapientml you can also consider the following projects:

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

archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

AutoViz - Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

featuretools - An open source python library for automated feature engineering

Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

evalml - EvalML is an AutoML library written in python.

autokeras - AutoML library for deep learning

Auto_TS - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

autogluon - Fast and Accurate ML in 3 Lines of Code