Klipboard - Query Anything With Kusto

A Clipboard Companion for Kusto

Kilpboard aims to provide a simple and intuitive way for people to get insights on their data using KQL. Simply copy text, tables or files in windows, then use Klipboard to unleash KQL's power on your data.

Klipboard runs in the System Tray. When clicked it will display a menu of actions that can be done with the content that is currently placed in the operating system clipboard.

What's New

Installation and Quick Start Guide

Wiki with Instructions and Help

List of 3rd Parties and Open Source Resources Used

Query Anything With Ease

Klipboard Quick Actions helps you run queries on structured and unstructured data without having to go through the trouble of creating tables and uploading data to them.

Upload Anything With Ease

If you do need the power of Kusto tables, Klipboard will help you instantly upload structured and unstructured data to existing, new and even temporaty tables with just a few clicks.

Query Structured Data from Office Applications

Copy any tables from Excel to query them using Kusto. No need to manually select tables in Excel. If an Excel sheet contains a single table, select the entire sheet from the top left corenr to query it.

You can also copy tables from Word, Outlook and Power Point with some limitations. Tables with new lines or tabs in the content copied from these apps may fail parsing.

Query Structured Files and Text

Easily query CSV & TSV files. Copy *.csv and *.tsv files to query then with Kusto. You can also copy CSV and TSV structured text to query it.

Query Tables from HTML Pages

Select and copy tables from web pages to query them with KQL.

Be sure to only copy the table itself and not the surrounding content. Please mind table data in HTML may be represented in multiple ways, so parsing may not always succeed.

Query Free Text

Easily query unstructured text with Kusto. Copy any multiline text or text file to parse and query it with Kusto. If the data you commonly query has a fixed structure, you can set a Quick Actions predefined KQL to parse the data with.

Road Map

Milestone #2 - Project Maturity

Improved Notifications
Logs
Proper Testing and E2Es

Milestone #3 - Mass Ingestion & UX Improvements

Queued, Direct and Streaming ingestion to new or existing tables

Milestone #4 - Modern UX & Multi Platform

UX Overhaul using .NET MAUI
Multi platform support (Linux and Mac)

Milestone #5 - Functionality Improvements

Ingestion Improvements: Ingestion Tags, Creation Time, file name and extension filtering
Mapping file extensions to data formats
Supporting multiple free-text parsing rules

yogilad / Klipboard