Analyze tabular data faster with familiar pandas patterns.
Speeds up pandas-style tabular analysis with a ClickHouse-backed DataStore.
When to use it
Use it when working with DataFrames, parquet, CSV, fast pandas, or cross-source DataFrame joins; skip it for raw SQL, ClickHouse administration, or non-Python DataStore work.
Give it tabular data and an analysis goal; it returns a pandas-compatible DataStore analysis using filtering, grouping, aggregation, joins, or related operations.
What you provide
Not yet reviewed.
Python 3.9 or newer is required.
The chdb package must be installed.
This skill
chdb
Installs chdb
MySQL
Reads MySQL data