Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.

DataOps Data Quality TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling,  new dataset hygiene review, AI generation of data quality validation tests, ongoing testing of data refreshes, & continuous anomaly monitoring

🙀数据可视化~实现可拖拽数据可视化视图、数据获取配置

A data validation tool.

BlazorDynamicForm is a dynamic form generator.

We have created this library to use common methods in android development.

Verify Data Annotations in Yolo and PASCAL VOC Format

CSV Data Validator is a tool to validate csv file. It parse csv and validate the data with .hdr(csv meta data) before ingestion to Data Lake. It checks data file availability for every day load and validate data with respective meta data like File Size, Checksum, Delimiter, Record count etc. It ensure landed data conformity before give go ahead …

Balance sheet and income statement to evaluate organization performance and current financial stability.

Fortune Cookies WebApp takes data from user using form HTML page, validate it and display the result using PHP page

FIFA World Cup Analysis Using Microsoft Excel

This repository demonstrates how to implement CRUD (Create, Read, Update, Delete) operations

This repository showcases my work in a Data Analytics and Commercial Insights simulation. Tasks include data preparation, customer analytics, and uplift testing using transaction data to generate strategic, data-driven recommendations. Outputs include code, benchmark analysis, and reports aimed at supporting informed business decisions.

The main purpose of this repository is to build the pipeline for training of regression models and predict the compressive strength of concrete to reduce the risk and cost involved in discarding the concrete structures when the concrete cube test fails.

Created a high-performance REST API using FastAPI and Pydantic, supporting data on various countries, with features such as data validation and automatic JSON response handling.

🎯 Gender inequality at work - use of KNIME (Background research, GDPR, Data governance, ETL, EDA, Data cleaning and validation, Statistical tests with R, and Data Visualization)

Benchmarking suite for Apache Spark

Backend for Movies explorer, Express.js

In this SQL project, I've cleaned the Nashville housing data table for better analysis using intermediate to advanced SQL queries.

Easily validate input data with rules and get customised error messages on errors.