1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Database Reporting Tool and Tasks (.Net)

Xcode-like HTML report for Unit and UI Tests

Nice code coverage reporting without hassle

HTML reports for Cucumber

R Package to Quickly and Neatly Summarize Data

Output K6 test run results as formatted & easy to read HTML reports

🌈 Reporter for jest test framework. 🌈

Open source security auditing tool to search and dump system configuration. It allows you to generate reports in HTML or RAW-HTML formats.

Gradle plugin that provides a task to generate a HTML license report of your project.

Jest test results processor for generating a summary in HTML

Jest HTML Reporter and Results Processor

Custom HTML report (dashboard view) by parsing robotframework output.xml file

⚓ Eurybia monitors model drift over time and securizes model deployment with data validation

Generates a static html report based on pytest framework

Easy and thorough description of datasets

DORA (Data Oriented Report Automator) automates Exploratory Data Analysis (EDA) to help you effortlessly explore datasets. Generate insightful statistics, visualizations, and reports with just a click! Streamline your data exploration workflow and uncover trends, patterns, and relationships in your data with ease.

Inspired by gitstats project: git repository desktop analyzer