The Best quanteda Alternatives in 2026

OpenPose detects body, face, hand, and foot keypoints for multiple people in real time.

SandboxAQ applies artificial intelligence and computing to challenges including quantitative models and scientific research.

OpenRouter publishes language model rankings based on real usage through its API.

Orange Data Mining provides open-source machine learning and data visualization tools.

Rainbow Weather provides local precipitation forecasts with minute-by-minute timing and an app with a live weather map.

H2O AutoML automatically generates features and selections, with a no code AutoML offering.

DrivenData hosts data science competitions where participants build predictive models for organizations addressing social challenges.

Scinito lets users chat with, search, analyze, and manage scholarly data using AI tools.

BigML provides a platform for creating machine learning models and working with data.

oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.

REP provides an IPython-based machine learning environment for consistent, reproducible data-driven research.

pytorch tabular provides a unified framework for deep learning models on tabular data.

mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation.

rapaio offers a toolbox for statistical analysis, data mining, and machine learning tasks.

tsfresh automatically extracts relevant features from time series data.

Snorkel helps generate training data programmatically through weak supervision.

This project profiles data quality and supports exploratory analysis of Pandas and Spark DataFrames.

DVC tracks data versions and machine learning experiments for collaborative development.

Optimus supports agile data preparation workflows across Pandas, Dask, cuDF, Vaex, and PySpark.

Lance provides an open lakehouse format for multimodal AI, with vector indexing and data versioning.

Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.

NuExtract extracts structured JSON and Markdown from documents using multimodal language models.

This TabGAN repository reviews research on applying GANs to generate tabular data.

Carbon.ai estimates the carbon impact of daily activities from photos and provides personalized climate recommendations.