2.7
Neosync is an open-source, developer-first way to anonymize PII, generate synthetic data and sync environments for better testing, debugging and developer experience. Companies use Neosync to:
Safely test code against production data - Anonymize sensitive production data in order to safely use it locally for a better testing and developer experience Easily reproduce production bugs locally - Anonymize and subset production data to get a safe, representative data set that you can use to locally reproduce production bugs quickly and efficiently Fix broken staging environments - Catch bugs before they hit production when you hydrate your staging and QA environments with production-like data Reduce your compliance scope - Use anonymized and synthetic data to reduce your compliance scope and easily comply with laws like HIPAA, GDPR, and DPDP Seed development databases - Easily seed development databases with synthetic data for unit testing, demos and more
Features:
Generate synthetic data based on your schema Anonymize existing production-data for a better developer experience Subset your production database for local and CI testing using any SQL query Complete async pipeline that automatically handles job retries, failures and playback using an event-sourcing model Referential integrity for your data automatically Declarative, GitOps based configs as a step in your CI pipeline to hydrate your CI DB Pre-built data transformers for all major data types Custom data transformers using javascript or LLMs Pre-built integrations with Postgres, Mysql, S3
Edgecase.ai offers a full suite of services and software for data annotation, synthetic data and AI services. From dedicated professionals, to medical professionals, agronomists and other sectors.