Auto_ViML VS Python-Schema-Matching

Compare Auto_ViML vs Python-Schema-Matching 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)

Python-Schema-Matching

A python tool using XGboost and sentence-transformers to perform schema matching task on tables. (by fireindark707)
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Auto_ViML Python-Schema-Matching
2 1
490 23
- -
4.2 3.5
5 months ago 9 months 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.
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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.

Python-Schema-Matching

Posts with mentions or reviews of Python-Schema-Matching. 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 Python-Schema-Matching 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

csvkit - A suite of utilities for converting to and working with CSV, the king of tabular file formats.

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

pymorphy2 - Morphological analyzer / inflection engine for Russian and Ukrainian languages.

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

kserve - Standardized Serverless ML Inference Platform on Kubernetes

evalml - EvalML is an AutoML library written in python.

mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

sapientml - Generative AutoML for Tabular Data

Kaitai Struct - Kaitai Struct: declarative language to generate binary data parsers in C++ / C# / Go / Java / JavaScript / Lua / Nim / Perl / PHP / Python / Ruby

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.

Language_Identifier - Language Identification classification using XGBoost