Python Pandas-python Resources

python-ternary This is a plotting library for use with matplotlib to make ternary plots plots in the two dimensional simplex projected onto a two dime

Pandas-Bokeh provides a Bokeh plotting backend for Pandas, GeoPandas and Pyspark DataFrames, similar to the already existing Visualization feature of

PandasGUI A GUI for analyzing Pandas DataFrames. Demo Installation Install latest release from PyPi: pip install pandasgui Install directly from Githu

Multicore t-SNE This is a multicore modification of Barnes-Hut t-SNE by L. Van der Maaten with python and Torch CFFI-based wrappers. This code also wo

Chartify Chartify is a Python library that makes it easy for data scientists to create charts. Why use Chartify? Consistent input data format: Spend l

hvPlot A high-level plotting API for the PyData ecosystem built on HoloViews. Build Status Coverage Latest dev release Latest release Docs What is it?

"To deal with hyper-planes in a 14 dimensional space, visualize a 3D space and say 'fourteen' very loudly. Everyone does it." - Geoff Hinton Overview

PyVista Deployment Build Status Metrics Citation License Community 3D plotting and mesh analysis through a streamlined interface for the Visualization

Cufflinks This library binds the power of plotly with the flexibility of pandas for easy plotting. This library is available on https://github.com/san

Perspective is an interactive visualization component for large, real-time datasets. Originally developed for J.P. Morgan's trading business, Perspect

missingno Messy datasets? Missing values? missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities tha

VisPy: interactive scientific visualization in Python Main website: http://vispy.org VisPy is a high-performance interactive 2D/3D data visualization

Graphviz This package facilitates the creation and rendering of graph descriptions in the DOT language of the Graphviz graph drawing software (master

Pandas Profiling Documentation | Slack | Stack Overflow Generates profile reports from a pandas DataFrame. The pandas df.describe() function is great

Altair http://altair-viz.github.io Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understa

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

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

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords hi

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

seaborn: statistical data visualization Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing

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 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 is a comprehensive library for creating static, animated, and interactive visualizations in Python. Check out our home page for more inform

DISCONTINUATION OF PROJECT. This project will no longer be maintained by Intel. Intel will not provide or guarantee development of or support for this

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

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

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 uses functional programming principles to make it easier to solve real problems with Machine Learning. Th

What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin

Overview | Tutorials | Examples | Installation | FAQ | How to Cite Welcome to ktrain News and Announcements 2020-11-08: ktrain v0.25.x is released and

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

CNTK Chat Windows build status Linux build status The Microsoft Cognitive Toolkit (https://cntk.ai) is a unified deep learning toolkit that describes

Quick Links: Installation | Documentation | WWDC 2019 | WWDC 2018 Turi Create Check out our talks at WWDC 2019 and at WWDC 2018! Turi Create simplifie

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

Chainer: A deep learning framework Website | Docs | Install Guide | Tutorials (ja) | Examples (Official, External) | Concepts | ChainerX Forum (en, ja

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

Thinc: A refreshing functional take on deep learning, compatible with your favorite libraries From the makers of spaCy, Prodigy and FastAPI Thinc is a

JAX: Autograd and XLA Quickstart | Transformations | Install guide | Neural net libraries | Change logs | Reference docs | Code search News: JAX tops

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. Website • Key Features • How To Use • Docs •

============================================================================================================ `MILA will stop developing Theano https:

Apache MXNet (incubating) for Deep Learning Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to m

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

eXtreme Gradient Boosting Community | Documentation | Resources | Contributors | Release Notes XGBoost is an optimized distributed gradient boosting l

Keras: Deep Learning for Python Under Construction In the near future, this repository will be used once again for developing the Keras codebase. For

About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an

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

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 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

Documentation TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, a

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

Zappa - Serverless Python About Installation and Configuration Running the Initial Setup / Settings Basic Usage Initial Deployments Updates Rollback S

Flask RestPlus IMPORTANT NOTICE: This project has been forked to Flask-RESTX and will be maintained by by the python-restx organization. Flask-RESTPlu

Connexion Connexion is a framework that automagically handles HTTP requests based on OpenAPI Specification (formerly known as Swagger Spec) of your AP

Version: 5.0.5 (singularity) Web: http://celeryproject.org/ Download: https://pypi.org/project/celery/ Source: https://github.com/celery/celery/ Keywo

Flask-GraphQL Adds GraphQL support to your Flask application. Usage Just use the GraphQLView view from flask_graphql from flask import Flask from flas

Flask-SocketIO Socket.IO integration for Flask applications. Installation You can install this package as usual with pip: pip install flask-socketio

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-

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

Installation pip install fastapi-serviceutils Usage For more details and usage see: readthedocs Development Getting started After cloning the repo

fastapi-mqtt MQTT is a lightweight publish/subscribe messaging protocol designed for M2M (machine to machine) telemetry in low bandwidth environments.

⚡ Create CRUD routes with lighting speed ⚡ A dynamic FastAPI router that automatically creates CRUD routes for your models Documentation: https://fast

pyheat Profilers are extremely helpful tools. They help us dig deep into code, find and understand performance bottlenecks. But sometimes we just want

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 Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory,

☠ 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 CPU and memory profiler for Python by Emery Berger 中文版本 (Chinese version) About Scalene % pip install -U scalene Scalen

vprof vprof is a Python package providing rich and interactive visualizations for various Python program characteristics such as running time and memo

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

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_profiler and kernprof NOTICE: This is the official line_profiler repository. The most recent version of line-profiler on pypi points to this repo

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

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

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 Summary Glances is a cross-platform monitoring tool which aims to present a large amount of monitoring information thr

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. Raghunandan Rao Features Easy to learn. Build tasks are just python funtions. Manages dependencies between tasks. Automaticall

Buildout Buildout is a project designed to solve 2 problems: Application-centric assembly and deployment Assembly runs the gamut from stitching togeth

Paver - Easy Scripting for Software Projects Web: https://pythonhosted.org/Paver/ Download: https://pypi.python.org/pypi/Paver/ Source: https://github

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.

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 Welcome to the SCons development tree. The real purpose of this tree is to package SCons for production distribut

Buildbot The Continuous Integration Framework Buildbot is based on original work from Brian Warner, and currently maintained by the Botherders. Visit

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 Subpar is a utility for creating self-contained python executables. It is designed to work well with Bazel. Status Subpar is currently owned by

PyOxidizer PyOxidizer is a utility for producing binaries that embed Python. The over-arching goal of PyOxidizer is to make complex packaging and dist

Pynsist is a tool to build Windows installers for your Python applications. The installers bundle Python itself, so you can distribute your applicatio

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

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

PEX Contents Overview Installation Simple Examples Integrating pex into your workflow Documentation Development Contributing Overview pex is a library

Nuitka User Manual Contents Overview Usage Requirements Command Line Installation License Tutorial Setup and build on Windows Setup Install Python Ins

packaging Reusable core utilities for various Python Packaging interoperability specifications. This library provides utilities that implement the int

pytest-play pytest-play is a codeless, generic, pluggable and extensible automation tool, not necessarily test automation only, based on the fantastic

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

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

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

pytest-lazy-fixture Use your fixtures in @pytest.mark.parametrize. Installation pip install pytest-lazy-fixture Usage import pytest @pytest.fixture(p

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 infrastructure Latest documentation: https://testinfra.readthedocs.io/en/latest About With Testinfra you can write unit tests in P