ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Las características principales de man-group/arcticdb son: Data Science and Databases, Bases de datos, Bibliotecas numéricas.
Las alternativas de código abierto para man-group/arcticdb incluyen: numpy/numpy — NumPy is a foundational library for scientific computing in Python, providing a comprehensive framework for managing… pymc-devs/pymc — PyMC is a Bayesian probabilistic programming framework used for building probabilistic models and performing Bayesian… 0b01/tectonicdb — Database for L2 orderbook. alpacahq/marketstore. pandas-dev/pandas — Pandas is a high-performance data analysis library that provides a comprehensive framework for manipulating, cleaning,… scipy/scipy — SciPy is a scientific computing library for Python that provides a comprehensive collection of mathematical algorithms…
NumPy is a foundational library for scientific computing in Python, providing a comprehensive framework for managing and manipulating large-scale numerical information. It centers on high-performance multidimensional array objects that serve as the primary data structure for complex mathematical operations and data analysis workflows. The library distinguishes itself through specialized mechanisms for handling multidimensional data, including advanced indexing, slicing, and broadcasting techniques that allow for efficient operations across arrays of varying shapes. It utilizes strided metadat
Pandas is a high-performance data analysis library that provides a comprehensive framework for manipulating, cleaning, and transforming structured datasets. It centers on labeled one-dimensional and two-dimensional data structures, allowing users to construct, filter, and reshape tabular information while performing complex arithmetic and logical operations. The library distinguishes itself through a sophisticated indexing engine that enables automatic data alignment during calculations and relational merges. By utilizing a block-based memory layout, it optimizes cache locality for vectorized
