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Joblib

Appears in 5 awesome lists

A lightweight pipelining library for Python, particularly useful for saving and loading large NumPy arrays.

Open github.comjoblib/joblib

Found in these lists

Awesome Data Analysis

Section: Useful Python Tools for Data Analysis · A lightweight pipelining library for Python, particularly useful for saving and loading large NumPy arrays.

FreshScore 80

awesome-python

Section: Concurrency and Parallelism · Computing with Python functions.

FreshScore 81

Best Of Python

Section: joblib (34 · 4.4K · ) - Computing with Python functions. BSD-3 · (👨‍💻 160 · 🔀 470 · 📦 750K):

FreshScore 88

Awesome Python

Section: Distributed Computing · Parallel computing and disk-based caching for Python functions.

FreshScore 94

Awesome Systematic Trading

Section: Computation · | Python | - running Python functions as pipeline jobs

FreshScore 89

Ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

In 13 listsDetails

Dask

| Python | - Parallel computing with task scheduling in Python with a Pandas like API

In 11 listsDetails

Polars

| Rust, Python | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.

In 10 listsDetails

Pandas

(label: good first issue) Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

In 9 listsDetails

Vaex

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).

In 9 listsDetails

Numba

is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support…

In 8 listsDetails

Modin

| Python | - Modin: Speed up your Pandas workflows by changing a single line of code

In 8 listsDetails

CuPy

An implementation of NumPy-compatible multi-dimensional array on CUDA. CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it.

In 8 listsDetails