tabnet VS ExtractTable-py

Compare tabnet vs ExtractTable-py and see what are their differences.

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tabnet ExtractTable-py
8 1
2,480 240
0.7% -
4.8 0.0
3 months ago 12 months ago
Python Python
MIT License 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.

tabnet

Posts with mentions or reviews of tabnet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-03.

ExtractTable-py

Posts with mentions or reviews of ExtractTable-py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-02.

What are some alternatives?

When comparing tabnet and ExtractTable-py you can also consider the following projects:

tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch

img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing

pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

pdfplumber - Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

autogluon - Fast and Accurate ML in 3 Lines of Code

Camelot - A Python library to extract tabular data from PDFs

Linear-Multihead-Attention - Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)

visidata - A terminal spreadsheet multitool for discovering and arranging data

Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.

vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

PyMuPDF - PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.