2 个仓库
Awesome GitHub RepositoriesPolicy-Driven Transformations
Transformation logic governed by configurable strategy objects to determine how to handle specific data conditions like missing values.
Distinct from Data Transformers: Candidates focus on infrastructure orchestration or coordinate mapping, not data-level transformation policies for tabular datasets.
Explore 2 awesome GitHub repositories matching data & databases · Policy-Driven Transformations. Refine with filters or upvote what's useful.
Awesome Policy-Driven Transformations GitHub Repositories
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- uscilab/cereal
USCiLab/cereal
4,676在 GitHub 上查看Cereal 是一个 C++ 序列化库和对象持久化工具，用于将数据类型和容器转换为存储或传输格式。它以仅头文件（header-only）库的形式实现，允许直接包含在源代码中，无需编译二进制文件。 该库支持多种数据表示形式，包括二进制、XML 和 JSON。它提供了定义自定义归档（archive）的能力，从而能够开发专门的输出格式来控制数据的编码和存储方式。 该系统通过基于模板的序列化和递归树遍历来处理复杂对象的转换。这些能力支持应用程序状态持久化以及进程间的二进制数据交换。
Allows switching between binary, JSON, and XML representations using a policy-driven architecture.
C++c-plus-pluscerealserialization - hosseinmoein/dataframe
hosseinmoein/DataFrame
2,917在 GitHub 上查看DataFrame is a C++ tabular data library and manipulation engine designed for managing heterogeneous data in contiguous memory. It functions as a statistical analysis framework and time series analysis toolkit, providing the means to store, index, and transform multidimensional datasets. The project distinguishes itself through a high-performance execution model that utilizes column-major storage, SIMD-aligned memory allocation, and a thread-pool for parallel computations. It employs a visitor-based algorithm dispatch system and policy-driven transformations to decouple data processing logic f
Employs configurable strategy objects to standardize how missing values, interpolation, and ranking logic are handled.
C++aicppdata-analysis
