MillerMiller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
DeeptablesDeepTables: Deep-learning Toolkit for Tabular data
TadA desktop application for viewing and analyzing tabular data
MiradorTool for visual exploration of complex data.
TganGenerative adversarial training for generating synthetic tabular data.
Csvreadercsvreader library / gem - read tabular data in the comma-separated values (csv) format the right way (uses best practices out-of-the-box with zero-configuration)
TableprintPretty console printing 📋 of tabular data in python 🐍
Tui.grid🍞🔡 The Powerful Component to Display and Edit Data. Experience the Ultimate Data Transformer!
TableqaAI Tool for querying natural language on tabular data.
SnoDistributed version-control for geospatial and tabular data
Tsv UtilseBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
Multimodal ToolkitMultimodal model for text and tabular data with HuggingFace transformers as building block for text data
Csvpackcsvpack library / gem - tools 'n' scripts for working with tabular data packages using comma-separated values (CSV) datafiles in text with meta info (that is, schema, datatypes, ..) in datapackage.json; download, read into and query CSV datafiles with your SQL database (e.g. SQLite, PostgreSQL, ...) of choice and much more
TabnetPyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Ktrainktrain is a Python library that makes deep learning and AI more accessible and easier to apply
RowsA common, beautiful interface to tabular data, no matter the format
VaexOut-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀
Lightning FlashCollection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.
React VirtualizedReact components for efficiently rendering large lists and tabular data
Pytorch WidedeepA flexible package to combine tabular data with text and images using Wide and Deep models in Pytorch
TabulizerBindings for Tabula PDF Table Extractor Library
VisidataA terminal spreadsheet multitool for discovering and arranging data
MezaA Python toolkit for processing tabular data
DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
Active importerDefine importers that load tabular data from spreadsheets or CSV files into any ActiveRecord-like ORM.
Carefree LearnA minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch
CtganConditional GAN for generating synthetic tabular data.
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
SwiftdatatablesA Swift Data Table package, display grid-like data sets in a nicely formatted table for iOS. Subclassing UICollectionView that allows ordering, and searching with extensible options.
HyperGBMA full pipeline AutoML tool for tabular data
saintThe official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
node-sheetsread rows from google spreadsheet with google's sheets api
react-keyviewReact components to display the list, table, and grid, without scrolling, use the keyboard keys to navigate through the data
Tabula🈸 Pretty printer for maps/structs collections (Elixir)
DataProfilerWhat's in your data? Extract schema, statistics and entities from datasets
tabular-streamDetects tabular data (spreadsheets, dsv or json, 20+ different formats) and emits normalized objects.
tv📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment.
fastapi-csv🏗️ Create APIs from CSV files within seconds, using fastapi
SchemaMapperA .NET class library that allows you to import data from different sources into a unified destination
SDGymBenchmarking synthetic data generation methods.
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
DataTables.jl(DEPRECATED) A rewrite of DataFrames.jl based on Nullable
msdaLibrary for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
TabFormerCode & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
winterWInte.r is a Java framework for end-to-end data integration. The WInte.r framework implements well-known methods for data pre-processing, schema matching, identity resolution, data fusion, and result evaluation.
cgpmLibrary of composable generative population models which serve as the modeling and inference backend of BayesDB.
datapackage-mPower Query M functions for working with Tabular Data Packages (Frictionless Data) in Power BI and Excel
AI4Waterframework for developing machine (and deep) learning models for structured data