Dev tools · September 17, 2024
Open-Source Data Anonymization for Developers
Hey HN, we're Evis and Nick from Neosync (https://www.github.com/nucleuscloud/neosync). Since we last introduced Neosync on HN 4 months ago, we’ve made a lot of progress and we’re excited to be launching several new features. As a reminder, Neosync is an open source platform that helps developers anonymize production data, generate synthetic data, subset it and sync it across their environments for better testing, debugging and developer experience. We do all of this while handling referential integrity. Whether you have primary keys, foreign keys, unique constraints,…
Open-Source Data Anonymization for Developers launched on September 17, 2024 with 13 votes, #1,020 of 5,281 launches that month and more than 75% of that year's launches.
In plain words
Neosync is an open-source platform that helps developers anonymize production data, generate synthetic data, and sync it across environments for testing and debugging. It maintains referential integrity across primary keys, foreign keys, unique constraints, and circular dependencies. The tool is designed for developers who need production-like test data without security or privacy concerns.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN, we're Evis and Nick from Neosync (https://www.github.com/nucleuscloud/neosync). Since we last introduced Neosync on HN 4 months ago, we’ve made a lot of progress and we’re excited to be launching several new features. As a reminder, Neosync is an open source platform that helps developers…
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Neosync – Open-Source Data Anonymization for Postgres and MySQL2024 · github.com · ▲246Hey HN, we're Evis and Nick and we're excited to be launching Neosync (https://www.github.com/nucleuscloud/neosync). Neosync is an open source platform that helps developers anonymize production data, generate synthetic data and sync it across their environments for better testing, debugging and developer experience. Most developers and teams have some version of a database seed script that creates some mock data for their local and stage databases. The problem is that production data is messy and it’s very difficult to replicate that with mock data. This causes two big…
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