Friendly Python test coverage reporting tool
Partial Testing: run only the tests relevant to your changes
Turn production traffic into a versioned, deduplicated, coverage-tracked regression suite — a curation accelerator, not a gold factory.
All-in-one optimization suite for pytest. Includes high-resolution test selection, parallelization, coverage and flaky management.
AI-powered test generator that closes coverage gaps in your PRs — only suggests tests that actually pass.
Chaos testing for AI apps. 18 extreme personas attack your AI to find edge cases before users do. OWASP LLM Top 10 coverage.
About An advanced Python library implementing Kadane’s Algorithm with support for 1D & 2D arrays, visualization, subarray constraints, and test coverage. Perfect for data analysis, time-series problems, and algorithm enthusiasts.
A lightweight Python test runner with method-level discovery and coverage reporting
Pytest plugin for measuring explicit test-file to source-file coverage
Creates a set of all lines that have no test coverage in the current git diff
A Python project template for a pip package with MCP server support and agentic coding workflows (planning + test-driven development)
Comprehensive Django testing enforcement library that ensures 100% test coverage across views, UI elements, and functions
Reserved for SpecRoster — coverage-based test selection (Blast Radius)
Production-ready Python library for detecting multilingual code-switching patterns with 100% test coverage, advanced threshold systems, and robust API stability
unittest test runner with colourised output and per-test coverage support
Run a full Python dev preflight (ruff format/lint, typecheck, tests, coverage) inside your project venv.
Linting rules, test coverage targets, usability checklists, and release gates
Multi-turn procedural code-execution RL environment with test-feedback rollouts and conformal coverage
Use this tool to develop unit tests which obtain complete coverage.
Python packaging demonstration
collections of data structures and algorithms for learning purposes, with 100% test coverage.
A collection of DNN test input prioritizers,in particular neuron coverage and surprise adequacy.
Run JavaScript test suites and collect coverage information.
Coverage-guided test generator for Python
Test coverage for selenium based tests
A coverage guided test generator for quantum programs
Coverage access via IPython
Deterministic recursive hierarchies for stable partitioning and multiscale coverage.
Exact implementation of Java's Optional in Python with 100% test coverage.
Test Organizer Pro - Find redundant pytest tests via coverage + mutation analysis
MCP server for AI-powered code analysis — test generation, security audits, coverage analysis, and refactoring suggestions
Unified code quality and security scanner for AI-assisted development: lint, types, SAST, SCA, tests, coverage.
Uses gcov to measure test coverage of a C library
HADES is an advanced bug bounty framework designed to automate reconnaissance, vulnerability scanning, and security testing processes. Built with efficiency and comprehensive coverage in mind, it integrates multiple industry-standard tools to provide a unified platform for security researchers and bug bounty hunters.
多语言测试文件查找和覆盖率分析工具
Modern Telugu v3.0 compliant library with expanded 220+ word dictionary (95%+ accuracy), complete tense system (past/present/future/continuous), modern pronouns, 26 fully conjugated verbs, comprehensive validation, and 100% test coverage
VibeData semantic-model tooling for Apache Ossie models: validate, coverage, generated tests, column and binding checks, and the query compiler. One library and one `ossie` command shared by the Build agent's skills, Domain CI and Studio's semantic tools.