Found 9 packages
Core CSOM (extension) methods to support modernizing your SharePoint sites. Has support for transform classic wiki pages and web part pages into modern client side pages
WPF matrix extensions.
Avalonia matrix extensions.
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL. AWS Glue generates the code to execute your data transformations and data loading processes. AWS Glue generates Python code that is entirely customizable, reusable, and portable. Once your ETL job is ready, you can schedule it to run on AWS Glue's fully managed, scale-out Spark environment. AWS Glue provides a flexible scheduler with dependency resolution, job monitoring, and alerting. AWS Glue is serverless, so there is no infrastructure to buy, set up, or manage. It automatically provisions the environment needed to complete the job, and customers pay only for the compute resources consumed while running ETL jobs. With AWS Glue, data can be available for analytics in minutes.
Class library implementing advanced mathematical algorithms, transforms, and time series manipulations. Implementations favour simplicity and correctness.
Provides extensions for the 2D array, graphs, contour, point transformations. Implements parallel FFT transform. Implements group matching.
Proj4Net is a C#/.Net library to transform point coordinates from one geographic coordinate system to another, including datum transformation. The core of this library is a port of the Proj4J library. See https://proj4net.codeplex.com/
Complete document processing SDK optimized for RAG systems. Transform PDF, DOCX, Excel, PowerPoint, Markdown and other formats into high-quality chunks with intelligent semantic boundary detection. Includes advanced chunking strategies, metadata extraction, and performance optimization.
Provides the ability to get a complete chunk of JSON given a valid starting point ("[" or "{") and then transform it into a tree structure that can be navidated.