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An open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less error-prone user experience.
Section: Data Frames · Xarray combines the best features of NumPy and pandas for multidimensional data selection by supplementing numerical axis labels with named dimensions for more intuitive, concise, and less error-prone indexing routines.
Section: xarray (32 · 4.2K) - N-D labeled arrays and datasets in Python. Apache-2 · (👨💻 640 · 🔀 1.3K · 📦 46K):
Section: Climate Data Standards · An open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less error-prone user experience.
Section: Data Science and Analytics · N-D labeled arrays and datasets in Python
| Rust, Python | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.
Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted).
| Python | - Modin: Speed up your Pandas workflows by changing a single line of code
Provides a pandas-like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming.
Provides an efficient, scalable, and flexible way to store and access large, multi-dimensional arrays, the core data format used in climate models and observational datasets.
NumPy and Pandas interface to Big Data.
Data.table for Python.
The Unidata network Common Data Form (netCDF) in Fortran is an interface for scientific data access and a set of freely-distributed software libraries that provide an implementation of the interface.