2 مستودعات
Tools that return distinct values for each column in a dataset without loading the full data, enabling quick exploration of filterable criteria.
Distinguishing note: No candidate covers the concept of exploring distinct column values for filtering without loading the full dataset.
Explore 2 awesome GitHub repositories matching data & databases · Filterable Column Explorers. Refine with filters or upvote what's useful.
The FinanceToolkit is an open-source Python library for quantitative finance that provides a unified framework for financial analysis, asset valuation, and risk management. It serves as a comprehensive platform for computing over 200 financial metrics and ratios, with capabilities spanning financial ratio analysis, fixed income analytics, macroeconomic data aggregation, options pricing, and portfolio risk management. The toolkit distinguishes itself through a modular architecture that separates data retrieval from computation, with stateless engines for financial models like Black-Scholes, GA
Enables quick exploration of distinct filterable criteria across asset classes without loading the full dataset.
Positron is a data science integrated development environment and AI-powered code editor designed for polyglot development, specifically supporting Python and R. It functions as a remote compute workspace that separates the user interface from the execution kernel via SSH or container integration. The environment features a deep integration of large language models that provide context-aware suggestions and automated data analysis by accessing real-time interpreter state, in-memory objects, and plot outputs. It distinguishes itself through a polyglot runtime bridge that enables cross-language
Allows searching for columns by name and organizing the column list by order, name, or type.