{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/3"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"},{"label":"Database","url":"https://skillfed.io/packages/category/database/2"}],"enrichment":{"capability":"chDB is an in-process SQL OLAP engine powered by ClickHouse that executes SQL queries on local data without requiring a separate ClickHouse server installation.","skillfed_tags":["olap-analytics","embedded-sql","pandas-compatible"],"use_cases":["Analyze Parquet or CSV files with SQL queries without loading them entirely into memory.","Use familiar pandas syntax while getting ClickHouse SQL performance on large datasets.","Execute SQL queries on multiple file formats and data sources with a unified interface.","Build interactive data exploration workflows in Jupyter notebooks with lazy evaluation.","Perform aggregations and groupby operations on large datasets using ClickHouse's multi-threaded engine."],"what_it_does":"chDB embeds ClickHouse's SQL OLAP engine directly into Python, letting you run SQL queries on local files and in-memory data without installing a separate database server. It supports multiple input/output formats (Parquet, CSV, JSON, Arrow, ORC, and 60+ others) and offers two APIs: a low-level SQL interface for direct queries, and a pandas-compatible API that compiles operations to optimized SQL.\n\nThe package is designed for analytics workflows where you need SQL performance on moderately large datasets without the operational overhead of a database server. It uses lazy evaluation to defer execution until results are needed, and minimizes data transfer between C++ and Python through memory views. Runtime dependencies include chdb-core, pandas, and pyarrow.","worth_installing":"Yes. chDB is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. It fills a clear niche for developers who want SQL analytics performance without database infrastructure. The pandas-compatible API lowers the learning curve for existing pandas users, and the SQL API provides escape hatches for advanced ClickHouse features."},"id":"chdb","links":{"html":"https://skillfed.io/packages/chdb","md":"https://skillfed.io/packages/chdb.md","pypi":"https://pypi.org/project/chdb/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-13","license_spdx":null,"license_treatment":"permissive","name":"chdb","python_support":"supports_current","summary":"chDB is an in-process OLAP SQL Engine powered by ClickHouse"},"popularity":{"monthly_downloads":3493256,"position":2601,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"4.2.1"}