Python-Schema-Matching VS Language_Identifier

Compare Python-Schema-Matching vs Language_Identifier 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)
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Python-Schema-Matching Language_Identifier
1 1
24 1
- -
3.5 0.0
9 months ago about 3 years ago
Python Python
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.

Language_Identifier

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

What are some alternatives?

When comparing Python-Schema-Matching and Language_Identifier 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.

LightAutoML - LAMA - automatic model creation framework

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

py3langid - Faster, modernized fork of the language identification tool langid.py

kserve - Standardized Serverless ML Inference Platform on Kubernetes

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

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

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

beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

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

nalcos - Search Git commits in natural language