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Neosync

Open Source Data Security Platform for Developers to Monitor and Detect PII, Anonymize Production Data and Sync it across environments.

Neosync

Open Source Data Security Platform for Developers to Monitor and Detect PII, Anonymize Production Data and Sync it across environments.

Author Avatar Theme by nucleuscloud
Github Stars Github Stars: 4146
Last Commit Last Commit: Aug 30, 2025 -
First Commit Created: Jan 17, 2026 -
Neosync screenshot

Overview

Neosync offers a powerful solution for developers looking to anonymize Personally Identifiable Information (PII) and generate synthetic data, enabling better testing and debugging environments. Now under the umbrella of Grow Therapy, Neosync remains a valuable resource for companies needing to safely manage and utilize production data without compromising compliance or data sensitivity. With its open-source approach, Neosync promotes enhanced developer experiences through streamlined processes that ensure a secure yet effective workflow.

The tool’s focus on generating high-quality data for various environments allows developers to replicate production issues locally and catch potential bugs before they reach the end-user. By addressing compliance requirements, Neosync ensures that teams can navigate the complexities of data protection laws while maintaining robust testing practices.

Features

  • Synthetic Data Generation: Easily create synthetic data aligned with your schema to facilitate safe testing and development.

  • Production Data Anonymization: Securely anonymize existing production data for use in development environments, enhancing the overall developer experience.

  • Efficient Subsetting: Utilize any SQL query to subset your production database, supporting quicker local and continuous integration testing.

  • Complete Async Pipeline: The tool automates job retries and failure handling using an event-sourcing model, ensuring a smooth process flow.

  • Referential Integrity: Automatically maintain referential integrity in your datasets, safeguarding data relationships during transformations.

  • Declarative Configurations: Incorporate GitOps-based configurations in your CI pipeline to efficiently manage and hydrate your databases.

  • Pre-built and Custom Transformers: Utilize built-in data transformers or create custom transformers with JavaScript or LLMs to tailor data handling to your needs.

  • Seamless Integrations: Benefit from pre-built integrations with major platforms like Postgres and MySQL as well as S3 for smooth data syncing and management.