Search Results for "python::module"
Sort By:
Showing 253 open source projects for "python::module"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
Playwright for Python
Python version of the Playwright testing and automation library
...Single API to automate Chromium, Firefox and WebKit. Capable automation for single page apps that rely on the modern web platform. Use the Playwright API in JavaScript & TypeScript, Python, .NET and, Java. With Playwright, test how your app behaves in Apple Safari with WebKit builds for Windows, Linux and macOS. Test locally and on CI. Use device emulation to test your responsive web apps in mobile web browsers. Playwright supports headless (without browser UI) and headed (with browser UI) modes for all browsers and all platforms. ... -
2
Cypress Visual Regression
Module for adding visual regression testing to Cypress
Module for adding visual regression testing to Cypress. -
3
phantomas
Headless Chromium-based web performance metrics collector
Headless Chromium-based modular web performance metrics collector. Modular approach, each metric is generated by a separate "module". phantomas "core" acts as an events emitter that each module can hook into. In-depth metrics such as: number of events bound via jQuery, calls to window.writeor complex and duplicated CSS selectors (via analyze-css). JSON as an output format. Easy integration with other nodejs projects via CommonJS module (see API docs). Metrics can be emitted from the JavaScript code of the page phantomas is run against (thanks to helper functions available in window.... -
4
Locust
Scalable open source load testing tool
...Unlike other event-based apps, it doesn’t use callbacks but uses lightweight processes instead, so you can write very expressive scenarios in Python without complicating it with callbacks. -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
-
5
Conda
OS-agnostic, system-level binary package manager
...Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment. -
6
pytest
Python testing tool for writing better programs
pytest is a mature, full-featured Python testing tool that allows you to easily write small tests, while also being able to scale to support complex functional testing for applications and libraries. pytest has detailed information on failing assert statements, which means there’s no need to remember self.assert names. It uses only plain assert statements due to its detailed assertion introspection. -
7
Mimesis
High-performance fake data generator for Python
Mimesis is an open source high-performance fake data generator for Python, able to provide data for various purposes in various languages. It's currently the fastest fake data generator for Python, and supports many different data providers that can produce data related to people, food, transportation, internet and many more. Mimesis is really easy to use, with everything you need just an import away. -
8
pipx
Install and run Python applications in isolated environments
pipx is a tool to help you install and run end-user applications written in Python. It's roughly similar to macOS's brew, JavaScript's npx, and Linux's apt. It's closely related to pip. In fact, it uses pip, but is focused on installing and managing Python packages that can be run from the command line directly as applications. pip is a general-purpose package installer for both libraries and apps with no environment isolation. pipx is made specifically for application installation, as it adds isolation yet still makes the apps available in your shell: pipx creates an isolated environment for each application and its associated packages. pipx does not ship with pip, but installing it is often an important part of bootstrapping your system. ... -
9
OWASP Mobile Application Security
Manual for mobile app security testing and reverse engineering
The OWASP Mobile Application Security (MAS) flagship project provides a security standard for mobile apps (OWASP MASVS) and a comprehensive testing guide (OWASP MASTG) that covers the processes, techniques, and tools used during a mobile app security test, as well as an exhaustive set of test cases that enables testers to deliver consistent and complete results. MAS Advocates are industry adopters of the OWASP MASVS and MASTG who have invested a significant and consistent amount of resources... -
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
10
Buildbot
Python-based continuous integration testing framework
...The masters monitor source-code repositories for changes, coordinate the activities of the workers, and report results to users and developers. Workers run on a variety of operating systems. You configure Buildbot by providing a Python configuration script to the master. This script can be very simple, configuring built-in components, but the full expressive power of Python is available. This allows dynamic generation of configuration, customized components, and anything else you can devise. The framework itself is implemented in Twisted Python, and compatible with all major operating systems. -
11
JUnit 5
Programmer-friendly testing framework for Java and the JVM
The 5th major version of the programmer-friendly testing framework for Java and the JVM. JUnit 5 is the next generation of JUnit. The goal is to create an up-to-date foundation for developer-side testing on the JVM. This includes focusing on Java 8 and above, as well as enabling many different styles of testing. Official CI build server for JUnit 5. Used to perform quick checks on submitted pull requests and for build matrices including the latest released OpenJDK and early access builds of... -
12
Testimo
Testimo is a PowerShell module for running health checks for AD
Testimo is a PowerShell-based test automation framework that simplifies writing, running, and reporting tests for infrastructure and script libraries. It provides constructs to define test cases, assertions, setup/teardown sequences, and grouping so validation logic is clear and maintainable. Designed for operations and platform engineers, Testimo focuses on verifying infrastructure state (configuration settings, service availability, registry keys) rather than purely unit-level code, making... -
13
Scrapy
A fast, high-level web crawling and web scraping framework
Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring and automated testing. -
14
Atheris
A Coverage-Guided, Native Python Fuzzer
Atheris is a coverage-guided fuzzer for CPython that treats Python as a first-class fuzzing target, enabling rapid discovery of crashes and logic errors in pure-Python code and native extensions. It hooks into Python’s interpreter to collect fine-grained coverage and uses that signal to evolve inputs, pushing programs into previously unexplored code paths. Because many Python libraries are thin wrappers over C/C++ code, Atheris is equally adept at surfacing memory safety issues in extension modules compiled with sanitizers. ... -
15
SuperTest
Super-agent driven library for testing node.js HTTP servers
A super-agent driven library for testing node.js HTTP servers using a fluent API. The motivation with this module is to provide a high-level abstraction for testing HTTP, while still allowing you to drop down to the lower-level API provided by superagent. Install SuperTest as an npm module and save it to your package.json file as a development dependency. You may pass an http.Server, or a Function to request(), if the server is not already listening for connections then it is bound to an ephemeral port for you so there is no need to keep track of ports. ... -
16
Pacu
The AWS exploitation framework, designed for testing security
Pacu (named after a type of Piranha in the Amazon) is a comprehensive AWS security-testing toolkit designed for offensive security practitioners. While several AWS security scanners currently serve as the proverbial “Nessus” of the cloud, Pacu is designed to be the Metasploit equivalent. Written in Python 3 with a modular architecture, Pacu has tools for every step of the pen testing process, covering the full cyber kill chain. Pacu is the aggregation of all of the exploitation experience and research from our countless prior AWS red team engagements. Automating components of the assessment not only improves efficiency but also allows our assessment team to be much more thorough in large environments. ... -
17
Testinfra
Testinfra test your infrastructures
With Testinfra you can write unit tests in Python to test the actual state of your servers configured by management tools like Salt, Ansible, Puppet, Chef and so on. Testinfra aims to be a Serverspec equivalent in python and is written as a plugin to the powerful Pytest test engine. By default Testinfra launches tests on the local machines, but you can also test remotes systems using paramiko. -
18
Schemathesis
Guarantee flawless API functionality with test scenarios
Guarantee flawless API functionality with thorough, high-quality test scenarios generated from your API specification. Schemathesis is a specification-centric API testing tool for Open API and GraphQL-based applications. It reads the application schema and generates test cases, which will ensure that your application is compliant with its schema and never crashes. The application under test could be written in any language; the only thing you need is a valid API schema in a supported format.... -
19
Maltrail
Malicious traffic detection system
Maltrail is a malicious traffic detection system, utilizing publicly available (black)lists containing malicious and/or generally suspicious trails, along with static trails compiled from various AV reports and custom user-defined lists, where trail can be anything from domain name, URL, IP address (e.g. 185.130.5.231 for the known attacker) or HTTP User-Agent header value (e.g. sqlmap for automatic SQL injection and database takeover tool). Also, it uses (optional) advanced heuristic... -
20
Mocha
A feature-rich JavaScript test framework running on Node.js
...Hosted on GitHub. Mocha runs in the browser. Every release of Mocha will have new builds of ./mocha.js and ./mocha.css for use in the browser. Mocha is the most-depended-upon module on npm and Mocha is an independent open-source project, maintained exclusively by volunteers. Given Mocha’s use of function expressions to define suites and test cases, it’s straightforward to generate your tests dynamically. No special syntax is required — plain ol’ JavaScript can be used to achieve functionality similar to “parameterized” tests, which you may have seen in other frameworks. -
21
ExMachina
Create test data for Elixir applications
...For most projects (such as Phoenix apps) this will mean adding :ex_machina to the list of applications in mix.exs. You can skip this step if you are using Elixir 1.4 or later. Add your factory module inside test/support so that it is only compiled in the test environment. build/2 is a function call. As such, it gets evaluated immediately. By default, ExMachina will merge the attributes you pass into build/insert into your factory. But if you want full control of your attributes, you can define your factory as accepting one argument, the attributes being passed into your factory. -
22
Ansible Molecule
Molecule aids in the development and testing of Ansible roles
Molecule project is designed to aid in the development and testing of Ansible roles. Molecule provides support for testing with multiple instances, operating systems and distributions, virtualization providers, test frameworks and testing scenarios. Molecule encourages an approach that results in consistently developed roles that are well-written, easily understood and maintained. Molecule supports only the latest two major versions of Ansible (N/N-1), meaning that if the latest version is... -
23
Exegol
Fully featured and community-driven hacking environment
Exegol is a community-driven hacking environment, powerful and yet simple enough to be used by anyone in day-to-day engagements. Exegol is the best solution to deploy powerful hacking environments securely, easily, and professionally. No more unstable, not-so-security-focused systems lacking major offensive tools. Kali Linux (and similar alternatives) are great toolboxes for learners, students, and junior pentesters. However professionals have different needs, and their context requires a... -
24
Deepchecks
Test Suites for validating ML models & data
Deepchecks is the leading tool for testing and for validating your machine learning models and data, and it enables doing so with minimal effort. Deepchecks accompany you through various validation and testing needs such as verifying your data’s integrity, inspecting its distributions, validating data splits, evaluating your model and comparing between different models. While you’re in the research phase, and want to validate your data, find potential methodological problems, and/or validate... -
25
nbmake
Pytest plugin for testing notebooks
Pytest plugin for testing and releasing notebook documentation. To raise the quality of scientific material through better automation. Research/Machine Learning Software Engineers who maintain packages/teaching materials with documentation written in notebooks.
