10539 Repositories
Python Amazing-Python-Scripts Libraries
Streaming pivot visualization via WebAssembly
Perspective is an interactive visualization component for large, real-time datasets. Originally developed for J.P. Morgan's trading business, Perspect
Missing data visualization module for Python.
missingno Messy datasets? Missing values? missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities tha
Main repository for Vispy
VisPy: interactive scientific visualization in Python Main website: http://vispy.org VisPy is a high-performance interactive 2D/3D data visualization
Simple Python interface for Graphviz
Graphviz This package facilitates the creation and rendering of graph descriptions in the DOT language of the Graphviz graph drawing software (master
Create HTML profiling reports from pandas DataFrame objects
Pandas Profiling Documentation | Slack | Stack Overflow Generates profile reports from a pandas DataFrame. The pandas df.describe() function is great
Declarative statistical visualization library for Python
Altair http://altair-viz.github.io Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understa
A little word cloud generator in Python
Linux macOS Windows PyPI word_cloud A little word cloud generator in Python. Read more about it on the blog post or the website. The code is tested ag
🎨 Python Echarts Plotting Library
pyecharts Python ❤️ ECharts = pyecharts English README 📣 简介 Apache ECharts (incubating) 是一个由百度开源的数据可视化,凭借着良好的交互性,精巧的图表设计,得到了众多开发者的认可。而 Python 是一门富有表达
Interactive Data Visualization in the browser, from Python
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords hi
Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
Dash Dash is the most downloaded, trusted Python framework for building ML & data science web apps. Built on top of Plotly.js, React and Flask, Dash t
Statistical data visualization using matplotlib
seaborn: statistical data visualization Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing
The interactive graphing library for Python (includes Plotly Express) :sparkles:
plotly.py Latest Release User forum PyPI Downloads License Data Science Workspaces Our recommended IDE for Plotly’s Python graphing library is Dash En
NeuPy is a Tensorflow based python library for prototyping and building neural networks
NeuPy v0.8.2 NeuPy is a python library for prototyping and building neural networks. NeuPy uses Tensorflow as a computational backend for deep learnin
matplotlib: plotting with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Check out our home page for more inform
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
DISCONTINUATION OF PROJECT. This project will no longer be maintained by Intel. Intel will not provide or guarantee development of or support for this
Lightweight library to build and train neural networks in Theano
Lasagne Lasagne is a lightweight library to build and train neural networks in Theano. Its main features are: Supports feed-forward networks such as C
A toolkit for making real world machine learning and data analysis applications in C++
dlib C++ library Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real worl
Fast and Easy Infinite Neural Networks in Python
Neural Tangents ICLR 2020 Video | Paper | Quickstart | Install guide | Reference docs | Release notes Overview Neural Tangents is a high-level neural
fklearn: Functional Machine Learning
fklearn: Functional Machine Learning fklearn uses functional programming principles to make it easier to solve real problems with Machine Learning. Th
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Overview | Tutorials | Examples | Installation | FAQ | How to Cite Welcome to ktrain News and Announcements 2020-11-08: ktrain v0.25.x is released and
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
TL;DR Ignite is a high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Click on the image to
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
CNTK Chat Windows build status Linux build status The Microsoft Cognitive Toolkit (https://cntk.ai) is a unified deep learning toolkit that describes
Turi Create simplifies the development of custom machine learning models.
Quick Links: Installation | Documentation | WWDC 2019 | WWDC 2018 Turi Create Check out our talks at WWDC 2019 and at WWDC 2018! Turi Create simplifie
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
English | 简体中文 Welcome to the PaddlePaddle GitHub. PaddlePaddle, as the only independent R&D deep learning platform in China, has been officially open
A flexible framework of neural networks for deep learning
Chainer: A deep learning framework Website | Docs | Install Guide | Tutorials (ja) | Examples (Official, External) | Concepts | ChainerX Forum (en, ja
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
Thinc: A refreshing functional take on deep learning, compatible with your favorite libraries From the makers of spaCy, Prodigy and FastAPI Thinc is a
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
JAX: Autograd and XLA Quickstart | Transformations | Install guide | Neural net libraries | Change logs | Reference docs | Code search News: JAX tops
The fastai deep learning library
Welcome to fastai fastai simplifies training fast and accurate neural nets using modern best practices Important: This documentation covers fastai v2,
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. Website • Key Features • How To Use • Docs •
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
============================================================================================================ `MILA will stop developing Theano https:
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Apache MXNet (incubating) for Deep Learning Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to m
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
eXtreme Gradient Boosting Community | Documentation | Resources | Contributors | Release Notes XGBoost is an optimized distributed gradient boosting l
Deep Learning for humans
Keras: Deep Learning for Python Under Construction In the near future, this repository will be used once again for developing the Keras codebase. For
Statsmodels: statistical modeling and econometrics in Python
About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an
Apache Spark - A unified analytics engine for large-scale data processing
Apache Spark Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an op
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch is a Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration Deep neural networks b
scikit-learn: machine learning in Python
scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started
An Open Source Machine Learning Framework for Everyone
Documentation TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, a
A caching extension for Flask
Flask-Caching Adds easy cache support to Flask. This is a fork of the Flask-Cache extension. Flask-Caching also includes the cache module from werkzeu
Serverless Python
Zappa - Serverless Python About Installation and Configuration Running the Initial Setup / Settings Basic Usage Initial Deployments Updates Rollback S
Fully featured framework for fast, easy and documented API development with Flask
Flask RestPlus IMPORTANT NOTICE: This project has been forked to Flask-RESTX and will be maintained by by the python-restx organization. Flask-RESTPlu
Swagger/OpenAPI First framework for Python on top of Flask with automatic endpoint validation & OAuth2 support
Connexion Connexion is a framework that automagically handles HTTP requests based on OpenAPI Specification (formerly known as Swagger Spec) of your AP
Distributed Task Queue (development branch)
Version: 5.0.5 (singularity) Web: http://celeryproject.org/ Download: https://pypi.org/project/celery/ Source: https://github.com/celery/celery/ Keywo
Adds GraphQL support to your Flask application.
Flask-GraphQL Adds GraphQL support to your Flask application. Usage Just use the GraphQLView view from flask_graphql from flask import Flask from flas
Socket.IO integration for Flask applications.
Flask-SocketIO Socket.IO integration for Flask applications. Installation You can install this package as usual with pip: pip install flask-socketio
Mixer -- Is a fixtures replacement. Supported Django, Flask, SqlAlchemy and custom python objects.
The Mixer is a helper to generate instances of Django or SQLAlchemy models. It's useful for testing and fixture replacement. Fast and convenient test-
Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automatically use request headers such as x-request-id or x-correlation-id.
starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat
Utils for fastapi based services.
Installation pip install fastapi-serviceutils Usage For more details and usage see: readthedocs Development Getting started After cloning the repo
fastapi-mqtt is extension for MQTT protocol
fastapi-mqtt MQTT is a lightweight publish/subscribe messaging protocol designed for M2M (machine to machine) telemetry in low bandwidth environments.
A dynamic FastAPI router that automatically creates CRUD routes for your models
⚡ Create CRUD routes with lighting speed ⚡ A dynamic FastAPI router that automatically creates CRUD routes for your models Documentation: https://fast
pprofile + matplotlib = Python program profiled as an awesome heatmap!
pyheat Profilers are extremely helpful tools. They help us dig deep into code, find and understand performance bottlenecks. But sometimes we just want
Monitor Memory usage of Python code
Memory Profiler This is a python module for monitoring memory consumption of a process as well as line-by-line analysis of memory consumption for pyth
Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.
Diamond Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory,
Was an interactive continuous Python profiler.
☠ This project is not maintained anymore. We highly recommend switching to py-spy which provides better performance and usability. Profiling The profi
Scalene: a high-performance, high-precision CPU and memory profiler for Python
scalene: a high-performance CPU and memory profiler for Python by Emery Berger 中文版本 (Chinese version) About Scalene % pip install -U scalene Scalen
Visual profiler for Python
vprof vprof is a Python package providing rich and interactive visualizations for various Python program characteristics such as running time and memo
Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.
README for pympler Before installing Pympler, try it with your Python version: python setup.py try If any errors are reported, check whether your Pyt
🚴 Call stack profiler for Python. Shows you why your code is slow!
pyinstrument Pyinstrument is a Python profiler. A profiler is a tool to help you 'optimize' your code - make it faster. It sounds obvious, but to get
Line-by-line profiling for Python
line_profiler and kernprof NOTICE: This is the official line_profiler repository. The most recent version of line-profiler on pypi points to this repo
Yet Another Python Profiler, but this time thread&coroutine&greenlet aware.
Yappi Yet Another Python Profiler, but this time thread&coroutine&greenlet aware. Highlights Fast: Yappi is fast. It is completely written in C and lo
Monitor Memory usage of Python code
Memory Profiler This is a python module for monitoring memory consumption of a process as well as line-by-line analysis of memory consumption for pyth
Sampling profiler for Python programs
py-spy: Sampling profiler for Python programs py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spe
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
Glances - An eye on your system Summary Glances is a cross-platform monitoring tool which aims to present a large amount of monitoring information thr
Cross-platform lib for process and system monitoring in Python
Home Install Documentation Download Forum Blog Funding What's new Summary psutil (process and system utilities) is a cross-platform library for retrie
A pynt of Python build.
A pynt of Python build. Raghunandan Rao Features Easy to learn. Build tasks are just python funtions. Manages dependencies between tasks. Automaticall
Buildout is a deployment automation tool written in and extended with Python
Buildout Buildout is a project designed to solve 2 problems: Application-centric assembly and deployment Assembly runs the gamut from stitching togeth
Python-based project scripting.
Paver - Easy Scripting for Software Projects Web: https://pythonhosted.org/Paver/ Download: https://pypi.python.org/pypi/Paver/ Source: https://github
Simplified packaging of Python modules
Flit is a simple way to put Python packages and modules on PyPI. It tries to require less thought about packaging and help you avoid common mistakes.
task management & automation tool
README doit - automation tool doit comes from the idea of bringing the power of build-tools to execute any kind of task Sample Code Define functions r
SCons - a software construction tool
SCons - a software construction tool Welcome to the SCons development tree. The real purpose of this tree is to package SCons for production distribut
Python-based continuous integration testing framework; your pull requests are more than welcome!
Buildbot The Continuous Integration Framework Buildbot is based on original work from Brian Warner, and currently maintained by the Botherders. Visit
The official binary distribution format for Python
wheel This library is the reference implementation of the Python wheel packaging standard, as defined in PEP 427. It has two different roles: A setupt
Subpar is a utility for creating self-contained python executables. It is designed to work well with Bazel.
Subpar Subpar is a utility for creating self-contained python executables. It is designed to work well with Bazel. Status Subpar is currently owned by
A modern Python application packaging and distribution tool
PyOxidizer PyOxidizer is a utility for producing binaries that embed Python. The over-arching goal of PyOxidizer is to make complex packaging and dist
Build Windows installers for Python applications
Pynsist is a tool to build Windows installers for your Python applications. The installers bundle Python itself, so you can distribute your applicatio
Create standalone executables from Python scripts, with the same performance and is cross-platform.
About cx_Freeze cx_Freeze creates standalone executables from Python scripts, with the same performance, is cross-platform and should work on any plat
py2app is a Python setuptools command which will allow you to make standalone Mac OS X application bundles and plugins from Python scripts.
py2app is a Python setuptools command which will allow you to make standalone Mac OS X application bundles and plugins from Python scripts. py2app is
A distutils extension to create standalone Windows programs from Python code
py2exe for Python 3 py2exe is a distutils extension which allows to build standalone Windows executable programs (32-bit and 64-bit) from Python scrip
A library and tool for generating .pex (Python EXecutable) files
PEX Contents Overview Installation Simple Examples Integrating pex into your workflow Documentation Development Contributing Overview pex is a library
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, and 3.9. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
Nuitka User Manual Contents Overview Usage Requirements Command Line Installation License Tutorial Setup and build on Windows Setup Install Python Ins
Core utilities for Python packages
packaging Reusable core utilities for various Python Packaging interoperability specifications. This library provides utilities that implement the int
pytest plugin that let you automate actions and assertions with test metrics reporting executing plain YAML files
pytest-play pytest-play is a codeless, generic, pluggable and extensible automation tool, not necessarily test automation only, based on the fantastic
pytest plugin for manipulating test data directories and files
pytest-datadir pytest plugin for manipulating test data directories and files. Usage pytest-datadir will look up for a directory with the name of your
Simple assertion library for unit testing in python with a fluent API
assertpy Simple assertions library for unit testing in Python with a nice fluent API. Supports both Python 2 and 3. Usage Just import the assert_that
nose is nicer testing for python
On some platforms, brp-compress zips man pages without distutils knowing about it. This results in an error when building an rpm for nose. The rpm bui
It helps to use fixtures in pytest.mark.parametrize
pytest-lazy-fixture Use your fixtures in @pytest.mark.parametrize. Installation pip install pytest-lazy-fixture Usage import pytest @pytest.fixture(p
A rewrite of Python's builtin doctest module (with pytest plugin integration) but without all the weirdness
The xdoctest package is a re-write of Python's builtin doctest module. It replaces the old regex-based parser with a new abstract-syntax-tree based pa
Testinfra test your infrastructures
Testinfra test your infrastructure Latest documentation: https://testinfra.readthedocs.io/en/latest About With Testinfra you can write unit tests in P
The definitive testing tool for Python. Born under the banner of Behavior Driven Development (BDD).
mamba: the definitive test runner for Python mamba is the definitive test runner for Python. Born under the banner of behavior-driven development. Ins
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
airspeed velocity airspeed velocity (asv) is a tool for benchmarking Python packages over their lifetime. It is primarily designed to benchmark a sing
Python version of the Playwright testing and automation library.
🎭 Playwright for Python Docs | API Playwright is a Python library to automate Chromium, Firefox and WebKit browsers with a single API. Playwright del
Python wrapper of Android uiautomator test tool.
uiautomator This module is a Python wrapper of Android uiautomator testing framework. It works on Android 4.1+ (API Level 16~30) simply with Android d
Flexible test automation for Python
Nox - Flexible test automation for Python nox is a command-line tool that automates testing in multiple Python environments, similar to tox. Unlike to
Hamcrest matchers for Python
PyHamcrest Introduction PyHamcrest is a framework for writing matcher objects, allowing you to declaratively define "match" rules. There are a number
a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)
pytest-sugar pytest-sugar is a plugin for pytest that shows failures and errors instantly and shows a progress bar. Requirements You will need the fol
py.test fixture for benchmarking code
Overview docs tests package A pytest fixture for benchmarking code. It will group the tests into rounds that are calibrated to the chosen timer. See c
Data-Driven Tests for Python Unittest
DDT (Data-Driven Tests) allows you to multiply one test case by running it with different test data, and make it appear as multiple test cases. Instal