How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
Computation of Sparse Eigenvectors of a Matrix
Time series implementation for the Julia language focused on efficiency and flexibility
The main features of scientificc/cmathl are: Numerical Libraries.
Open-source alternatives to scientificc/cmathl include: brotto/crng — Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence. 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! johnbywater/quantdsl — Quant DSL. bhftbootcamp/timearrays.jl — Time series library for Julia.
