The International Trade Administration's Top Markets Series is meant to help exporters determine their next export market by comparing opportunities across borders. Each report ranks future export opportunities within a particular industry based on a sector-specific methodology. The reports provide a detailed assessment of the competitiveness landscape within a sector, as well as the opportunities and challenges facing U.S. exporters in key markets

The U.S. Department of Commerce, Department of Homeland Security, and Department of State prepare these performance indicators for international travel to the United States and for travel facilitation programs.

Statistics and reports on how much U.S. tourists spend and the prices they pay for lodging, airfare, souvenirs, and other travel-related items.

Information on international air traffic between the United States and other countries. Provides publications for a fee.

Statistics on imports of textile and apparel products into the U.S. under free trade agreements.

Statistics and reports on U.S. imports under trade preference programs.

The International Visitor Arrivals Program provides the U.S. government and the public with the official monthly and annual overseas visitor arrivals to the United States. The National Travel and Tourism Office (NTTO) manages the program in cooperation with the Department of Homeland Security, Customs and Border Protection (CBP).

The NIST scan framework is a framework that greatly simplifies the process of writing and maintaining scans of experimental parameters using the ARTIQ control system and language. The framework adopts the philosophy of convention over configuration where datasets are stored for analysis and plotting in a standard directory structure. The framework provides a number of useful features such as automatic calculation of statistics, fitting, validation of fits, and plotting that do not need to be performed by the user.

The library multicomplex is an implementation of multicomplex algebra in C++ to allow for higher-order derivatives of numerical functions. Many (though not all) mathematical functions are implemented, allowing for calculation of derivatives (straight and mixed) to approximately numerical precision, which is difficult or impossible to achieve in conventional double precision

Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given a parametric model - analogous to a fitting function - Bayesian inference uses each measurement "data point" to refine model parameters. Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties. A TCP socket interface allows the software to be used from experimental control software written in other programming languages.