stac-validator is a library and cli tool for validating SpatioTemporal Asset Catalogs (STAC). It is written in Python and can be used to validate STAC Items, Collections, and Catalogs.

The STochastic OPTimization library (StOpt) aims at providing tools in C++ for solving some stochastic optimization problems encountered in finance or in the industry. Different methods are available: - dynamic programming methods based on Monte Carlo with regressions (global, local, kernel and sparse regressors), for underlying states following some uncontrolled Stochastic Differential Equations; - dynamic programming with a representation of uncertainties with a tree: transition problems are here solved by some discretizations of the commands, resolution of LP with cut representation of the Bellman values; - Semi-Lagrangian methods for Hamilton Jacobi Bellman general equations for underlying states following some controlled Stochastic Differential Equations; - Stochastic Dual Dynamic Programming methods to deal with stochastic stock management problems in high dimension. Uncertainties can be given by Monte Carlo and can be represented by a state with a finite number of values (tree); - Some branching nesting methods to solve very high dimensional non linear PDEs and some appearing in HJB problems. Besides some methods are provided to solve by Monte Carlo some problems where the underlying stochastic state is controlled. For each method, a framework is provided to optimize the problem and then simulate it out of the sample using the optimal commands previously computed. Parallelization methods based on OpenMP and MPI are provided in this framework permitting to solve high dimensional problems on clusters. The library should be flexible enough to be used at different levels depending on the user's willingness.

LLVM is a collection of libraries and tools that make it easy to build compilers, optimizers, just-in-time code generators, and many other compiler-related programs.

DPDK is a set of libraries for fast packet processing. Applications run in user-space and communicate directly with dedicated network interfaces.

DPDK is a set of libraries for fast packet processing. Applications run in user-space and communicate directly with dedicated network interfaces.

This library enables interaction with IoTaWatt, a versatile energy monitoring device. It facilitates communication over a network, allowing for data collection and analysis from connected energy meters. Users can retrieve power usage metrics, monitor different circuit channels, and manage the device's settings remotely through a simple and structured interface. By utilizing the device's capabilities, this library provides the tools for efficient and effective energy management, making real-time energy data accessible and manageable through a Wi-Fi connection.