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AkShare is a Python financial data library and programmatic interface designed for fetching real-time and historical stock, currency, and economic market data. It serves as a quantitative data acquisition tool for gathering the large-scale financial datasets required for economic research and quantitative analysis. The library provides a unified interface to retrieve datasets from various official and commercial providers, removing the need to write custom scrapers for individual financial sources. It maps standardized function calls to diverse third-party sources to normalize varying respons
Computation of Sparse Eigenvectors of a Matrix
Time series implementation for the Julia language focused on efficiency and flexibility
AI-powered Bitcoin network intelligence in your terminal. Ask questions, get structured analysis.
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
The main features of brotto/crng are: Numerical Libraries, Quantitative Research Tools.
Open-source alternatives to brotto/crng include: jindaxiang/akshare — AkShare is a Python financial data library and programmatic interface designed for fetching real-time and historical… dppalomar/sparseeigen — Computation of Sparse Eigenvectors of a Matrix. dysonance/temporal.jl — Time series implementation for the Julia language focused on efficiency and flexibility. fumitoh/modelx — Use Python like a spreadsheet! bortlesboat/chainpulse — AI-powered Bitcoin network intelligence in your terminal. Ask questions, get structured analysis. bhftbootcamp/timearrays.jl — Time series library for Julia.