{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database"}],"enrichment":{"capability":"PyExasol is the official Python connector for Exasol databases, optimized for high-throughput data transfer using WebSocket protocol and supporting parallel data streams for multi-core scalability.","skillfed_tags":["database-connector","parallel-io","data-pipeline"],"use_cases":["Bulk data import and transfer from Exasol into Python data processing workflows.","High-throughput ETL pipelines that need to move large datasets between Exasol and Python tools.","Multi-process data loading to fully utilize multi-core systems and achieve linear performance scaling.","Integration of Exasol queries into data science workflows.","Replacing ODBC-based connectors when single-process performance becomes a bottleneck."],"what_it_does":"PyExasol is the officially maintained Python driver for Exasol databases, built on the WebSocket protocol to minimize overhead and maximize throughput. It handles large data volumes efficiently and integrates with data processing tools via HTTP transport. The package's core strength is its support for parallel data streams across separate processes, allowing you to move beyond single-core limitations and achieve linear scalability by fully utilizing available hardware.\n\nThe connector compresses data to reduce network bottleneck and provides an API for reading and writing multiple streams in parallel. It requires Python >= 3.10 and Exasol >= 7.1, and depends on cryptography, packaging, and websocket-client for its core functionality. The project is actively maintained by Exasol and marked as Production/Stable.","worth_installing":"Yes. PyExasol is the official, actively maintained connector for Exasol with low install friction, no known vulnerabilities, and a permissive MIT license. It is production-stable and designed specifically for high-performance parallel data transfer. Install it if you work with Exasol and need Python connectivity; the parallel-stream architecture makes it the natural choice over generic ODBC drivers for this DBMS."},"id":"pyexasol","links":{"html":"https://skillfed.io/packages/pyexasol","md":"https://skillfed.io/packages/pyexasol.md","pypi":"https://pypi.org/project/pyexasol/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-05","license_spdx":"MIT","license_treatment":"permissive","name":"pyexasol","python_support":"supports_current","summary":"Exasol python driver with extra features"},"popularity":{"monthly_downloads":5404276,"position":2109,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2.3.1"}