β‘ TabPFN: Foundation Model for Tabular Data β‘
A terminal spreadsheet multitool for discovering and arranging data
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
Open-source desktop SQL workspace with 3 built-in database drivers and 24 shipped driver plugins, including SQL Server, DuckDB, ClickHouse and Redis. Built-in MCP server for Claude, Cursor and Devin, SQL notebooks and visual EXPLAIN.
Fast and Accurate ML in 3 Lines of Code
A unified framework for Deep Learning Models on tabular data
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A zero-config, fast and small virtual list, grid and masonry component for React, Vue, Solid, Svelte and Angular.
Synthetic data generation for tabular data
Conditional GAN for generating synthetic tabular data.
TabICLv2: An open tabular foundation model
DAX Studio is a tool to write, execute, and analyze DAX queries in Power BI Desktop, Power Pivot for Excel, and Analysis Services Tabular.
React components for efficiently rendering large lists and tabular data
React components for efficiently rendering large lists and tabular data
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
Evidently is ββan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.
A Python library to extract tabular data from PDFs
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
A lightweight TUI application to view and query tabular data files, such as CSV, TSV, and parquet.
SDG is a specialized framework designed to generate high-quality structured tabular data.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
In-memory tabular data in Julia
Display tabular data in a visually appealing ASCII table format
A common, beautiful interface to tabular data, no matter the format
A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data
Tabular Deep Learning Library for PyTorch
Distributed version-control for geospatial and tabular data
A library to model multivariate data using copulas.
Early access to new features for Microsoft Fabric's Semantic Link.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
A pretrained tabular foundation model for classification and regression by Nums AI Inc.
EXAONE Tabular is a transformer-based foundation model for tabular data that solves classification and regression through in-context learning
Revisiting Tabular Deep Regression Paper Code