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Life & fun · February 24, 2026

New Version 1.9.7 released

Versioning for RealTestData

What it does

Versioned templates and results turn test data into an asset, not a gamble. Stop Treating Test Data Like a One-Off: Result Versioning Matters Most teams don’t lose time because tests are slow. They lose time because they can’t reproduce what happened. That’s not a testing problem. That’s a data lineage problem. Result versioning fixes that. The uncomfortable truth: “fresh data” is not always your friend The new version introduces both: - Versioning Templates - Versioning Results

Does the same job

all alternatives →
  • FakeData2025 · ▲365

    Get your fake data in seconds

  • IB
    I built a tool to get instant test results2022 · github.com · ▲96

    I got sick of the old software development loop: Change code -> Run tests -> wait -> wait some more -> look at failures. I decided to build a tool that will enable you to: Change code -> look at failures. No wait time, no explicit test running. Under the hood: - Runs the whole test suite and collects code coverage per test. - For each auto file save, analyzes the changes on the tests. - Runs changed tests in the background. - Display results, the loop time from change to test results is approx 250ms. Instead of: code -> alt+tab -> arrow up -> rerun all the tests -> wait ... -> test results…

  • SV
    Simple version control for designers2011 · ▲55

    Hi HN, I've been waiting to post what I've been working on for a few weeks now:) Today we're launching LayerVault, which is a version control system made for designers. The URL is http://www.layervault.com LayerVault keeps track of what you're working on without adding extra steps to your process. The app runs in your toolbar and tracks changes you make to your files. Basically — each time you create or modify a file you’re working on, LayerVault saves a copy. You can then login, flip through its versions, and download a version from a few weeks ago. It's pretty neat — and we’ve built some…

  • SV
    SirixDB – versioning through efficient snapshotting2018 · ▲55

    I've already posted yesterday, but I'd really love to get comments, any kind of questions, suggestions and help would be greatly appreciated as it's an Open Source project of mine (and was for others during my studies at the University of Konstanz 6 years ago). Since then I spent countless ours to bring forth the idea of a versioned storage system, especially well suited for analytical tasks for timd-varying data. Especially I'd love to discuss what documentation you need, which next steps are necessary (JSON, Cloud...), API additions or changes... I've updated the README quiet a bit, such…

  • DT
    DDL to Data – Generate realistic test data from SQL schemasJan 2026 · ▲55

    I built DDL to Data after repeatedly pushing back on "just use production data and mask it" requests. Teams needed populated databases for testing, but pulling prod meant security reviews, PII scrubbing, and DevOps tickets. Hand-written seed scripts were the alternative slow, fragile, and out of sync the moment schemas changed. Paste your CREATE TABLE statements, get realistic test data back. It parses your schema, preserves foreign key relationships, and generates data that looks real, emails look like emails, timestamps are reasonable, uniqueness constraints are honored. No setup, no…

  • OS
    Open-Source Data Replication and Anonymization2023 · github.com · ▲24

    Hey HN, we're Evis and Nick, we're excited to be launching Neosync on HN! Neosync is an open source data replication and anonymization project that helps developers create safe, anonymized test data and sync it across all environments for high-quality local, stage and CI testing. This is how it works: 1. You select a job type. Today we support data sync jobs (these sync data between two databases and run on a schedule you define) and a data generation job (this generates synthetic data from scratch and sends it to a destination). 2. Next you define your source database and a destination(s)…

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