- StochasticDiffEq.jl VS SciMLTutorials.jl
- StochasticDiffEq.jl VS DiffEqBase.jl
- StochasticDiffEq.jl VS SciMLSensitivity.jl
- StochasticDiffEq.jl VS OrdinaryDiffEq.jl
- StochasticDiffEq.jl VS DiffEqSensitivity.jl
- StochasticDiffEq.jl VS DiffEqOperators.jl
- StochasticDiffEq.jl VS DifferentialEquations.jl
- StochasticDiffEq.jl VS Clapeyron.jl
StochasticDiffEq.jl Alternatives
Similar projects and alternatives to StochasticDiffEq.jl
-
SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
-
DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
SciMLSensitivity.jl
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
-
OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
-
DiffEqSensitivity.jl
Discontinued A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc. [Moved to: https://github.com/SciML/SciMLSensitivity.jl]
-
DiffEqOperators.jl
Discontinued Linear operators for discretizations of differential equations and scientific machine learning (SciML)
-
DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
Clapeyron.jl
Clapeyron provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC.
StochasticDiffEq.jl reviews and mentions
-
Writing unit tests in scientific computing
For stochastic processes you have to work a little bit more. However maybe the StochasticDiffEq.jl package can give some guiding there https://github.com/SciML/StochasticDiffEq.jl/tree/master/test
Stats
SciML/StochasticDiffEq.jl is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of StochasticDiffEq.jl is Julia.
Popular Comparisons
Sponsored