Python-Schema-Matching VS Auto_ViML

Compare Python-Schema-Matching vs Auto_ViML and see what are their differences.

Python-Schema-Matching

A python tool using XGboost and sentence-transformers to perform schema matching task on tables. (by fireindark707)

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)
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Python-Schema-Matching Auto_ViML
1 2
24 490
- -
3.5 4.2
9 months ago 5 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.
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.

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.

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.

What are some alternatives?

When comparing Python-Schema-Matching and Auto_ViML you can also consider the following projects:

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

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

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

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

kserve - Standardized Serverless ML Inference Platform on Kubernetes

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

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

evalml - EvalML is an AutoML library written in python.

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

sapientml - Generative AutoML for Tabular Data

Language_Identifier - Language Identification classification using XGBoost

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.