{"categories":[{"label":"Financial","url":"https://skillfed.io/packages/category/office-business-financial"}],"enrichment":{"capability":"Client library for accessing LSEG Data Platform financial data through multiple connection methods, providing abstraction layers for pricing, fundamental data, historical data, and real-time streaming.","skillfed_tags":["financial-data","market-data-streaming","lseg-platform"],"use_cases":["Retrieve current bid/ask prices and fundamental metrics like revenue for multiple instruments in a single call.","Fetch historical pricing and financial data across date ranges for backtesting or analysis.","Stream real-time market data updates with event callbacks for live trading or monitoring dashboards.","Search the LSEG instrument catalog by name or identifier to resolve RICs and metadata.","Build Jupyter-based prototypes using the simple Access layer, then scale to production with the Content layer."],"what_it_does":"lseg-data is a Python client for the LSEG Data Platform that abstracts away connection details and provides a uniform interface to financial market data regardless of how you connect\u2014directly, via Eikon, LSEG Workspace, CodeBook, or a local Real-Time Distribution System. It layers four abstraction levels: a simple Access layer for quick prototyping in Jupyter, a Content layer for advanced use cases with synchronous and async patterns, a Delivery layer for low-level service interaction, and a Session layer for connection management.\n\nThe library handles pricing snapshots, fundamental and reference data, historical time series, real-time streaming with event callbacks, and search across the LSEG catalog. It depends on common data-science and HTTP libraries (pandas, numpy, requests, httpx) plus event handling (pyee), retry logic (tenacity), and serialization (simplejson, pyhumps). It is designed for both quick experimentation and production financial applications.","worth_installing":"Yes, if you have LSEG Data Platform access and need a Python interface to financial data. The library is well-structured with multiple abstraction layers, low install friction, and no known vulnerabilities. However, the aging maintenance status (last release 497 days ago) means you should verify ongoing support and check that your use case aligns with the documented connection methods before committing to a production dependency."},"id":"lseg-data","links":{"html":"https://skillfed.io/packages/lseg-data","md":"https://skillfed.io/packages/lseg-data.md","pypi":"https://pypi.org/project/lseg-data/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-04-04","license_spdx":null,"license_treatment":"permissive","name":"lseg-data","python_support":"supports_current","summary":"Client for LSEG Data Platform API's"},"popularity":{"monthly_downloads":199157,"position":9714,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.1.1"}