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react-virtualized - React components for efficiently rendering large lists and tabular data
React components for efficiently rendering large, scrollable lists and tabular data
react react-components windowing virtualization list grid listview tabular-data performance reactjs react-component virtual scrolling infinite virtualized table fixed header flexbox spreadsheet table-view infinite-scrollmiller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, and positionally-indexed.
data-processing data-cleaning csv csv-files csv-format csv-reader streaming-data streaming-algorithms tsv json json-data data-reduction data-regression statistics statistical-analysis devops devops-tools tabular-data command-line command-line-toolsHandsontable - JavaScript/HTML5 UI Spreadsheet library for web apps. Available for React, Vue and Angular
Handsontable Community Edition (CE) is an open source JavaScript/HTML5 UI Spreadsheet component for web apps. It easily integrates with any data source and comes with a variety of useful features like data binding, validation, sorting or powerful context menu. It is available for Vue, React, Angular and Polymer.
spreadsheet data-grid grid-editor dynamic-table component data-binding data grid table editor data-table excel tabular-data edit-cell editable-table data-spreadsheettad - A desktop application for viewing and analyzing tabular data
Tad is a desktop application for viewing and analyzing tabular data such as CSV files. The easiest way to install Tad is to use a pre-packaged binary release. See The Tad Landing Page for information on the latest release and a download link.
desktop-application pivots tabular-data csv pivot-tables data-science data-analysisvaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀
Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted). HDF5 and Apache Arrow supported.
visualization machine-learning bigdata tabular-data hdf5 machinelearning dataframe memory-mapped-filerows - A common, beautiful interface to tabular data, no matter the format
Want to learn more? Read the documentation.
tabular-data convert-data data-science csv excel xlsx xls table datadaff - align and compare tables
This is a library for comparing tables, producing a summary of their differences, and using such a summary as a patch file. It is optimized for comparing tables that share a common origin, in other words multiple versions of the "same" table.
csv csv-diffs tabular-data comparing-tables diff-format table diff patch mergeactive_importer - Define importers that load tabular data from spreadsheets or CSV files into any ActiveRecord-like ORM
Define importers that load tabular data from spreadsheets or CSV files into any ActiveRecord-like ORM. Define classes that you instruct on how to import data into data models.
tabular-data spreadsheet csv-files activerecord orm data-import importermeza - A Python toolkit for processing tabular data
meza is a Python library for reading and processing tabular data. It has a functional programming style API, excels at reading/writing large files, and can process 10+ file types. meza has been tested and is known to work on Python 2.7, 3.5, and 3.6; PyPy2 5.8.0, and PyPy3 5.8.0.
pandas csv xml xlsx excel data tabular-data library functional-programming featuredvaex - Lazy Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second
Vaex is a python library for Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. It can calculate statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid up to a billion (109) objects/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted).
dataframe bigdata tabular-data visualization memory-mapped-file hdf5TableQA - AI Tool for querying natural language on tabular data.
AI Tool for querying natural language on tabular data.Built using QA models from transformers.
nlp qa machine-learning csv sql database ai tabular-data sql-query question-answering sql-generation nl2sql tableqa table-qa querying-natural-languagehandsontable-pro - Handsontable Pro - JavaScript/HTML5 Spreadsheet Component with Premium Features
Spreadsheet-like data grid editor that provides copy/paste functionality compatible with Excel/Google Docs
data grid table editor grid-editor data-grid data-table spreadsheet excel tabular-data edit-cell editable-table data-spreadsheetTabula - :u7533: Pretty printer for maps/structs collections (Elixir)
Tabula can transform a list of maps (structs too, e.g. Ecto models) or Keywords into an ASCII/GitHub Markdown table. It's a weekend-over-beer-project of mine, loosely based on clojure.pprint.print-table.
elixir pretty-printer tabular-datawq
wq.io is a Pythonic library for consuming (input), iterating over, and generating (output) external data resources in various formats. wq.io facilitates interoperability between the wq framework and other systems and formats. wq.io is designed to be customized, with a base class and modular mixin classes that handle loading, parsing, and mapping external data to a convenient API.
data-processing pythonic iterable pandas import export spreadsheet tabular-datanpm-pdfreader - 🚜 Read text and parse tables from PDF files
Read text and parse tables from PDF files. Supports tabular data with automatic column detection, and rule-based parsing.
data-extraction pdf-converter parsing tabular-data pdf-reader parse-tables rule-based-parsing pdf reader parser parse convert cli table data csv json rulestsv-utils - eBay's TSV Utilities: Command line tools for large, tabular data files
This is a set of command line utilities for manipulating large tabular data files. Files of numeric and text data commonly found in machine learning, data mining, and similar environments. Filtering, sampling, statistical calculations and other operations are supported. The tools were originally developed in Perl and used for day-to-day work in a large scale data mining environment. One of the tools was re-written in D as an exercise exploring the language. Significant performance gains and agreeable programmer characteristics soon led to writing additional utilities in D. Information on the D programming language is available at dlang.org.
csv command-line dlang data-science tabular-data cli delimited-files sampling data-wrangling tsv statistics reservoir-samplingtableprint - Pretty console printing :clipboard: of tabular data in python :snake:
tableprint lets you easily print formatted tables of data. Unlike other modules, you can print single rows of data at a time (useful for printing ongoing computation results). The header and row functions allow you to print just the header or just a row of data, respectively, which is useful for continuously updating a table during a long-running computation. Also, the banner function is useful for just printing out a nicely formatted message to the user.
terminal display print tabular-dataSwiftyTextTable - A lightweight library for generating text tables.
A lightweight Swift library for generating text tables. SwiftyTextTable is now Swift 4.0 compatible! The last release to support Swift 3.1 was 0.7.1. The last release to support Swift 2.3 was 0.3.1.
command-line tabular-data swift-package-manager carthage cocoapodsDataFrame - DataFrame in Pharo - tabular data structures for data analysis
Data frames are the essential part of the data science toolkit. They are the specialized data structures for tabular data sets that provide us with a simple and powerful API for summarizing, cleaning, and manipulating a wealth of data sources that are currently cumbersome to use. The DataFrame and DataSeries collections, stored in this repository, are specifically designed for working with structured data. The following script installs DataFrame and its dependencies into a Pharo image. Along with all the other code blocks in this tutorial, this script has been tested on Pharo-6.1 and Pharo64-6.1 for both Linux and OSX, and Pharo-6.1 for Windows.
pharo smalltalk gsoc data-science data-analysis data-frame tabular-data data-visualization statistics
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