A light-weight, flexible, and expressive statistical data testing library

Data quality assessment and metadata reporting for data frames and database tables

A declarative PySpark framework for row- and aggregate-level data quality validation.

Verifalia REST API - Javascript SDK and helper library, for Node.js and the browser: verify email addresses in real-time and check whether they are deliverable, invalid, or otherwise risky.

An open-source AI voice agent platform that turns conversations into 100% accurate, user-verified data via a visual form.

Custom file and directory checksum and verification tool

Javascript data validator.

people search and tracing API

Mirror of the repository on CERN's Gitlab. CLI for viewing and verifying data integrity on the raw binary data read out from the ALICE detector and its subdetectors.

Verifalia SDK for Node.js - OBSOLETE, please use https://github.com/verifalia/verifalia-js-sdk

Nexa Auto automates the process of verifying the authenticity of addresses for room service eligibility and retrieving detailed specifications across multiple websites. Utilizing Selenium for web automation and GPT for handling missing data, Nexa Auto significantly reduces manual effort in data entry tasks.

Memory efficient mbox-type mailbox files comparator for data integrity verification. It compares full content of emails (headers and body) after canonicalisation, and optionally tolerates differences in the lengths of blank-line runs. Optionally, it can handle mboxes with differing message orderings while still providing efficient resource usage.

Minimalist Ethereum library for JavaScript/TypeScript developers

Header-only runtime data verification & protection library for C++20 and later. Compiler Support: MSVC (+WDM), LLVM, GCC. Architecture Support: x86-64

One of the biggest barriers to widespread machine learning adoption is the difficulty in collecting a 'good' dataset. There is an overall consensus that a 'good' dataset is a big dataset, but we believe that we can do better. As such the VennData project was created to develop tools to guide in the collection, curation, augmentation and validation of data.

First swarm formed through Torus abstractions, over the problem space of finding the internet's prophets.

Crionomía: protocolo de validación distribuida basado en Coherencia Verificable (ℜ), sin autoridad central

Merkle-Directed Acyclic Graph (DAG) in MATLAB - https://doi.org/10.5281/zenodo.12808889

vitae-parser extracts and structures biographical details from unstructured text using pattern matching.

Deliver insights into the topical content of undergraduate degree programmes.

Ruby gem to verify data

web lead extraction crawler

Chose a region and used data munging techniques to assess the quality of the data for validity, accuracy, completeness, consistency and uniformity.

JavaScript-based configurations for Cognex Scanners in the LotCom Distributed System.

File Fingerprinting

The Trinity: Multi-AI prompt engineering framework (Claude+Gemini+Python). Proven ROI: 3,300x cost reduction ($18 vs $60K). Real metrics: 959 searches → 5,755 documents → 245 policies. Validated on semiconductor tariffs, scalable to any industry.

A systematic, scientifically-verifiable research framework that cross-validates Chinese official population statistics through four independent hypotheses and third-party data sources (Proxy Data).

Pedalling Forward: The Evolution of Dedicated Cycling Infrastructure in Canadian Cities from 2010 to 2022

DataDemise is an application for certifying and verifying the destruction of data stored across various cloud providers. It ensures secure and verifiable destruction of data, providing certificates as proof of destruction.

🌐 Explore verified public webcam networks for traffic, tourism, and environmental monitoring, distinct from unauthorized surveillance practices.