Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Gemini 3 and 200+ AI Models on One Platform
Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.
Build generative AI apps with Vertex AI. Switch between models without switching platforms.
A Matlab toolbox for geostatistical modelling, prediction and simulation. It contains native matlab algorithms, and interfaces to SGeMS, GSTAT and VISIM.
The JTS Topology Suite is an API for modelling and manipulating 2-dimensional linear geometry. It provides numerous geometric predicates and functions. JTS conforms to the Simple Features Specification for SQL published by the Open GIS Consortium.
Wolfgang is a lightweight tool that allows users to easily create and edit Petri nets and check them against general and workflow specific net properties. Specifically, Wolfgang supports full PNML conform editing functionality of Place-Transition Nets (P/T-Nets) and Colored Petri Nets (CPN) as they are defined in the SEPIA package. Its simple and easy to use interface allows to quickly create Petri nets from scratch, edit them graphically in many ways, store and even export them as PDFs. Use...
A bunch of miscillaneous scientific simulation projects not important enough to have their own project. Includes Gaspard-Rice chaotic scattering simulation, sea ice emissivity modelling, IDL library and any others I create or find kicking around.
approximate Bayesian computation for stochastic differential equations
...It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated. Variance components for the "measurement error" affecting the data/observations can be estimated. A 50-pages Reference Manual is provided with two case-studies implemented and discussed. The methodology is based on the research article available at http://arxiv.org/abs/1204.5459
Author's research page is http://www.maths.lth.se/matstat/staff/umberto/
Anmech is a tool for symbolic calculations and mathematical modelling using Matlab. Its main functions are automated derivation of equations of motion of mechanical systems and derivation of system of differential equations with numeric parameters.
Digital graph 1.3 is an advanced JAVA SWING component for modelling, displaying, saving and loading graphs(using XML and XMLSchema). It is fully documented and requires jdk 1.5.x.Version 1.3 adds 9 bug fixs, 3 rengineering and 4 new features.
JVClifford is composed of Java/Java3D packages and executables jars that provide for Clifford element definition, Geometric Algebra operations and geometric scenes modelling and rendering using the n-dimensional geometric algebra affine model
Demetrix is a Java-based process modelling system. The goal of the project is to develop a flexible framework for managing complex process models using Petri-Net-oriented methodologies (state-task networks and resource-task networks).
Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Computational modelling is a interdisciplinary field spanning many techniques and programming languages. AgenTools is a project dedicated to establishing increased modularity in scientific computing packages and a portal linking to other existing project
The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining. Comprises useful routines for machine learning in general and for rough set theory in particular.