A high-level Python library and CLI to make it easier to use Azure Data Explorer (aka Kusto), especially for data scientists.

Experimental, work-in-progress, unstable API.

Documentation

• .set-or-append table
• .set-or-replace table
• .drop table
• .append table
• .create table
• .create-merge table

• .create-or-alter function
• .drop function

• set notruncation etc.

• retention policy
• sharding policy

• .show [table|database] principals
• .add [table|database] [users|admins]

• project
• where
• distinct
• summarize
• join
• parenthesize or/and expressions
• extend
• order by, sort
• asc, desc
• evaluate
• take, limit
• mv-expand
• Inspect columns from table by querying
• sample
• sample-distinct
• mv-apply
• datatable
• facet
• find
• fork
• getschema
• invoke
• lookup
• parse
• partition
• pivot
• range
• search
• serialize
• top, top-hitters
• Kusto prefix function translator class
• special types (datetime, timespan, dynamic)
• nice error messages when column not found in table etc.

• sumif
• countif
• dcountif
• binary_all_and
• binary_all_or
• binary_all_xor
• make_bag / make_set / make_list
• arg_max, arg_min, take_any, take_anyif
• avgif
• hll, hll_merge
• max, maxif, min, minif
• percentiles, percentiles_array, percentilesw
• stdev, stdevif
• tdigest, tdigest_merge
• variance, variancep, varianceif

• [start|end]of[day|week|month|year]
• between
• typecasting: real(), long(), datetime() etc.
• math functions: log, sin, cos etc.
• string functions: strlen etc.
• null
• date functions: getyear, getmonth etc.
• case / iff
• hash
• welch_test
• array_ functions