React components for efficiently rendering large lists and tabular data
- react
- react-components
- windowing
- virtualization
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React components for efficiently rendering large lists and tabular data
Fast and Accurate ML in 3 Lines of Code
A terminal spreadsheet multitool for discovering and arranging data
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
- dataframe
- python
- bigdata
- tabular-data
Evidently is an 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.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
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.
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
Automatic architecture search and hyperparameter optimization for PyTorch
- automl
- deep-learning
- tabular-data
- pytorch
A Python package for manipulating 2-dimensional tabular data structures
- python
- data-analysis
- data-structure
- performance
Graph and network visualization using tabular data in R
- r
- network-graph
- graph
- visualization
Synthetic data generators for tabular and time-series data
- gan-architectures
- gan
- deep-learning
- synthetic-data
What's in your data? Extract schema, statistics and entities from datasets
- python
- privacy
- pii
- npi
eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
Spreadsheet Architect is a library that allows you to create XLSX, ODS, or CSV spreadsheets super easily from ActiveRecord relations, plain Ruby objects, or tabular data.
A go library to improve readability in terminal apps using tabular data
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
- tabular-data
- gans
- train-dataframe
- adversarial-filtering
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.
- data-analytics
- data-cleaning
- data-cleansing
- data-engineering
Data validation toolkit for assessing and monitoring data quality.
- data-validation
- tabular-data
- data-testing
- data-quality
A Python toolkit for processing tabular data
zsv+lib: tabular data swiss-army knife CLI + world's fastest (simd) CSV parser
Reactive datatables for large or small datasets
- blaze
- datatable
- meteorjs
- tabular
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework