513 Repositories
Python performance-test Libraries
ArrayFire: a general purpose GPU library.
ArrayFire is a general-purpose library that simplifies the process of developing software that targets parallel and massively-parallel architectures i
A high performance and generic framework for distributed DNN training
BytePS BytePS is a high performance and general distributed training framework. It supports TensorFlow, Keras, PyTorch, and MXNet, and can run on eith
PyTorch extensions for high performance and large scale training.
Description FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library ext
High-performance TensorFlow library for quantitative finance.
TF Quant Finance: TensorFlow based Quant Finance Library Table of contents Introduction Installation TensorFlow training Development roadmap Examples
Performance analysis of predictive (alpha) stock factors
Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour
Common financial risk and performance metrics. Used by zipline and pyfolio.
empyrical Common financial risk metrics. Table of Contents Installation Usage Support Contributing Testing Installation pip install empyrical Usage S
This repository provides train&test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.
SCUT-CTW1500 Datasets We have updated annotations for both train and test set. Train: 1000 images [images][annos] Additional point annotation for each
The next generation relational database.
What is EdgeDB? EdgeDB is an open-source object-relational database built on top of PostgreSQL. The goal of EdgeDB is to empower its users to build sa
a test times augmentation toolkit based on paddle2.0.
Patta Image Test Time Augmentation with Paddle2.0! Input | # input batch of images / / /|\ \ \ # apply
Django project starter on steroids: quickly create a Django app AND generate source code for data models + REST/GraphQL APIs (the generated code is auto-linted and has 100% test coverage).
Create Django App 💛 We're a Django project starter on steroids! One-line command to create a Django app with all the dependencies auto-installed AND
Performance analysis of predictive (alpha) stock factors
Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
Prodmodel is a build system for data science pipelines. Users, testers, contributors are welcome! Motivation · Concepts · Installation · Usage · Contr
A Python package for manipulating 2-dimensional tabular data structures
datatable This is a Python package for manipulating 2-dimensional tabular data structures (aka data frames). It is close in spirit to pandas or SFrame
High performance datastore for time series and tick data
Arctic TimeSeries and Tick store Arctic is a high performance datastore for numeric data. It supports Pandas, numpy arrays and pickled objects out-of-
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 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
High performance implementation of Extreme Learning Machines (fast randomized neural networks).
High Performance toolbox for Extreme Learning Machines. Extreme learning machines (ELM) are a particular kind of Artificial Neural Networks, which sol
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
test
Lidar-data-decode In this project, you can decode your lidar data frame(pcap file) and make your own datasets(test dataset) in Windows without any hug
A modular, high performance, headless e-commerce platform built with Python, GraphQL, Django, and ReactJS.
Saleor Commerce Customer-centric e-commerce on a modern stack A headless, GraphQL-first e-commerce platform delivering ultra-fast, dynamic, personaliz
A set of pytest fixtures to test Flask applications
pytest-flask An extension of pytest test runner which provides a set of useful tools to simplify testing and development of the Flask extensions and a
High-performance Async REST API, in Python. FastAPI + GINO + Arq + Uvicorn (w/ Redis and PostgreSQL).
fastapi-gino-arq-uvicorn High-performance Async REST API, in Python. FastAPI + GINO + Arq + Uvicorn (powered by Redis & PostgreSQL). Contents Get Star
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python 3.6 and above with performance auto-tuning. Optionally with Alpine Linux.
Supported tags and respective Dockerfile links python3.8, latest (Dockerfile) python3.7, (Dockerfile) python3.6 (Dockerfile) python3.8-slim (Dockerfil
A FastAPI Middleware of joerick/pyinstrument to check your service performance.
fastapi_profiler A FastAPI Middleware of joerick/pyinstrument to check your service performance. 📣 Info A FastAPI Middleware of pyinstrument to check
CPU inference engine that delivers unprecedented performance for sparse models
The DeepSparse Engine is a CPU runtime that delivers unprecedented performance by taking advantage of natural sparsity within neural networks to reduce compute required as well as accelerate memory bound workloads. It is focused on model deployment and scaling machine learning pipelines, fitting seamlessly into your existing deployments as an inference backend.
the code used for the preprint Embedding-based Instance Segmentation of Microscopy Images.
EmbedSeg Introduction This repository hosts the version of the code used for the preprint Embedding-based Instance Segmentation of Microscopy Images.
RAT-el is an open source penetration test tool that allows you to take control of a windows machine.
To prevent RATel from being detected by antivirus, please do not upload the payload to TOTAL VIRUS. Each month I will test myself if the payload gets detected by antivirus. So you’ll have a photo every month to prove RAtel’s discretion.
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
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
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
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 •
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
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 ä¸æ–‡ç‰ˆæœ¬ (Chinese version) About Scalene % pip install -U scalene Scalen
🚴 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
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
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
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
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
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
Local continuous test runner with pytest and watchdog.
pytest-watch -- Continuous pytest runner pytest-watch a zero-config CLI tool that runs pytest, and re-runs it when a file in your project changes. It
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
Selects tests affected by changed files. Continous test runner when used with pytest-watch.
This is a pytest plug-in which automatically selects and re-executes only tests affected by recent changes. How is this possible in dynamic language l
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
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
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
BDD library for the py.test runner
BDD library for the py.test runner pytest-bdd implements a subset of the Gherkin language to enable automating project requirements testing and to fac
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example o
:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
THE PROJECT IS ARCHIVED Forks: https://github.com/orsinium/forks DepHell -- project management for Python. Why it is better than all other tools: Form
Python ASN.1 library with a focus on performance and a pythonic API
asn1crypto A fast, pure Python library for parsing and serializing ASN.1 structures. Features Why Another Python ASN.1 Library? Related Crypto Librari
Better directory iterator and faster os.walk(), now in the Python 3.5 stdlib
scandir, a better directory iterator and faster os.walk() scandir() is a directory iteration function like os.listdir(), except that instead of return
🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)
srsly: Modern high-performance serialization utilities for Python This package bundles some of the best Python serialization libraries into one standa
Plug and play continuous integration with django and jenkins
django-jenkins Plug and play continuous integration with Django and Jenkins Installation From PyPI: $ pip install django-jenkins Or by downloading th
Full-text multi-table search application for Django. Easy to install and use, with good performance.
django-watson django-watson is a fast multi-model full-text search plugin for Django. It is easy to install and use, and provides high quality search
No effort, no worry, maximum performance.
Django Cachalot Caches your Django ORM queries and automatically invalidates them. Documentation: http://django-cachalot.readthedocs.io Table of Conte
Automatically monitor the evolving performance of Flask/Python web services.
Flask Monitoring Dashboard A dashboard for automatic monitoring of Flask web-services. Key Features • How to use • Live Demo • Feedback • Documentatio
A test fixtures replacement for Python
factory_boy factory_boy is a fixtures replacement based on thoughtbot's factory_bot. As a fixtures replacement tool, it aims to replace static, hard t
Load and performance benchmark tool
Yandex Tank Yandextank has been moved to Python 3. Latest stable release for Python 2 here. Yandex.Tank is an extensible open source load testing tool
Parameterized testing with any Python test framework
Parameterized testing with any Python test framework Parameterized testing in Python sucks. parameterized fixes that. For everything. Parameterized te
A complete test automation tool
Golem - Test Automation Golem is a test framework and a complete tool for browser automation. Tests can be written with code in Python, codeless using
Declarative HTTP Testing for Python and anything else
Gabbi Release Notes Gabbi is a tool for running HTTP tests where requests and responses are represented in a declarative YAML-based form. The simplest
Aioresponses is a helper for mock/fake web requests in python aiohttp package.
aioresponses Aioresponses is a helper to mock/fake web requests in python aiohttp package. For requests module there are a lot of packages that help u
A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax
1.0 Release See here for details about breaking changes with the upcoming 1.0 release: https://github.com/taverntesting/tavern/issues/495 Easier API t
Wraps any WSGI application and makes it easy to send test requests to that application, without starting up an HTTP server.
WebTest This wraps any WSGI application and makes it easy to send test requests to that application, without starting up an HTTP server. This provides
A set of pytest fixtures to test Flask applications
pytest-flask An extension of pytest test runner which provides a set of useful tools to simplify testing and development of the Flask extensions and a
Django test runner using nose
django-nose django-nose provides all the goodness of nose in your Django tests, like: Testing just your apps by default, not all the standard ones tha
Language-agnostic HTTP API Testing Tool
Dredd — HTTP API Testing Framework Dredd is a language-agnostic command-line tool for validating API description document against backend implementati
splinter - python test framework for web applications
splinter - python tool for testing web applications splinter is an open source tool for testing web applications using Python. It lets you automate br
A test fixtures replacement for Python
factory_boy factory_boy is a fixtures replacement based on thoughtbot's factory_bot. As a fixtures replacement tool, it aims to replace static, hard t
Scalable user load testing tool written in Python
Locust Locust is an easy to use, scriptable and scalable performance testing tool. You define the behaviour of your users in regular Python code, inst
It's a simple tool for test vulnerability shellshock
Shellshock, also known as Bashdoor, is a family of security bugs in the Unix Bash shell, the first of which was disclosed on 24 September 2014. Shellshock could enable an attacker to cause Bash to execute arbitrary commands and gain unauthorized access to many Internet-facing services, such as web servers, that use Bash to process requests.
Meinheld is a high performance asynchronous WSGI Web Server (based on picoev)
What's this This is a high performance python wsgi web server. And Meinheld is a WSGI compliant web server. (PEP333 and PEP3333 supported) You can als
The no-nonsense, minimalist REST and app backend framework for Python developers, with a focus on reliability, correctness, and performance at scale.
The Falcon Web Framework Falcon is a reliable, high-performance Python web framework for building large-scale app backends and microservices. It encou
An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.
StockBot is a Python application for designing and testing your own daily stock trading algorithms. Installation Use the
Corsair_scan is a security tool to test Cross-Origin Resource Sharing (CORS).
Welcome to Corsair_scan Corsair_scan is a security tool to test Cross-Origin Resource Sharing (CORS) misconfigurations. CORS is a mechanism that allow
A fast PostgreSQL Database Client Library for Python/asyncio.
asyncpg -- A fast PostgreSQL Database Client Library for Python/asyncio asyncpg is a database interface library designed specifically for PostgreSQL a
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
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. 150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Stock Analysis Engine Build and tune investment algorithms for use with artificial intelligence (deep neural networks) with a distributed stack for ru
High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
Releases | Gears | Documentation | Installation | License VidGear is a High-Performance Video Processing Python Library that provides an easy-to-use,
Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages.
Mimesis - Fake Data Generator Description Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes
Faker is a Python package that generates fake data for you.
Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in yo
create custom test databases that are populated with fake data
About Generate fake but valid data filled databases for test purposes using most popular patterns(AFAIK). Current support is sqlite, mysql, postgresql
A test fixtures replacement for Python
factory_boy factory_boy is a fixtures replacement based on thoughtbot's factory_bot. As a fixtures replacement tool, it aims to replace static, hard t
splinter - python test framework for web applications
splinter - python tool for testing web applications splinter is an open source tool for testing web applications using Python. It lets you automate br
Scalable user load testing tool written in Python
Locust Locust is an easy to use, scriptable and scalable performance testing tool. You define the behaviour of your users in regular Python code, inst
Green is a clean, colorful, fast python test runner.
Green -- A clean, colorful, fast python test runner. Features Clean - Low redundancy in output. Result statistics for each test is vertically aligned.
The successor to nose, based on unittest2
Welcome to nose2 nose2 is the successor to nose. It's unittest with plugins. nose2 is a new project and does not support all of the features of nose.
Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages.
Mimesis - Fake Data Generator Description Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes
Faker is a Python package that generates fake data for you.
Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in yo
create custom test databases that are populated with fake data
About Generate fake but valid data filled databases for test purposes using most popular patterns(AFAIK). Current support is sqlite, mysql, postgresql
A test fixtures replacement for Python
factory_boy factory_boy is a fixtures replacement based on thoughtbot's factory_bot. As a fixtures replacement tool, it aims to replace static, hard t
splinter - python test framework for web applications
splinter - python tool for testing web applications splinter is an open source tool for testing web applications using Python. It lets you automate br
Scalable user load testing tool written in Python
Locust Locust is an easy to use, scriptable and scalable performance testing tool. You define the behaviour of your users in regular Python code, inst
Green is a clean, colorful, fast python test runner.
Green -- A clean, colorful, fast python test runner. Features Clean - Low redundancy in output. Result statistics for each test is vertically aligned.
The successor to nose, based on unittest2
Welcome to nose2 nose2 is the successor to nose. It's unittest with plugins. nose2 is a new project and does not support all of the features of nose.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
FastAPI framework, high performance, easy to learn, fast to code, ready for production Documentation: https://fastapi.tiangolo.com Source Code: https:
The no-nonsense, minimalist REST and app backend framework for Python developers, with a focus on reliability, correctness, and performance at scale.
The Falcon Web Framework Falcon is a reliable, high-performance Python web framework for building large-scale app backends and microservices. It encou
A high performance implementation of HDBSCAN clustering. http://hdbscan.readthedocs.io/en/latest/
HDBSCAN Now a part of scikit-learn-contrib HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. Performs DBSCAN over va