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GitHub - nucleuscloud/neosync: Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.

May 22, 2024 - github.com
Neosync is an open-source platform designed to anonymize Personally Identifiable Information (PII), generate synthetic data, and sync environments for improved testing, debugging, and developer experience. It allows companies to safely test code against production data, reproduce production bugs locally, fix broken staging environments, reduce compliance scope, and seed development databases. The platform offers features such as synthetic data generation, production-data anonymization, database subsetting, async pipeline, referential integrity, GitOps based configs, data transformers, and pre-built integrations with Postgres, Mysql, S3.

Neosync is a fully dockerized setup, making it easy to start and stop. It uses the newer 'docker compose' command and comes with a compose.yml file containing production image references. The platform is available on http://localhost:3000 and comes pre-seeded with connections and jobs. For more detailed information on environment variables, Kubernetes deployments, and a production-ready guide, users can refer to the Deploy Neosync section of the platform's Docs. The platform encourages contributions and is available under the MIT expat license.

Key takeaways:

  • Neosync is an open-source tool that helps anonymize PII, generate synthetic data, and sync environments for better testing, debugging, and developer experience.
  • It offers features like generating synthetic data based on your schema, anonymizing existing production-data, and maintaining referential integrity for your data automatically.
  • Neosync is a fully dockerized setup which makes it easy to get up and running with just a few commands without having to build anything on your system.
  • The tool is available under the MIT expat license, encouraging free and open source software use.
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