nowfound

Alternatives

Products that do what DataForge by RNS does

Generate realistic test data instantly — no scripts required

  1. 1

    Generate custom data & API to build apps in less than 30s

    2021

  2. 2GT

    2013 · databasetestdata.com

  3. 3

    Generate realistic test data with custom scenarios

    Feb 2026

  4. 4DT

    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…

    Jan 2026

  5. 5

    Seed data made easy

    2024

  6. 6
    Premerge106

    Free AI-powered unit test creation tool

    2023

  7. 7
    Mockaroo357

    A realistic data generator to test your app

    2015

  8. 8ID

    Hello, Hacker News! I'm Erik, cofounder of Release (YCW20). At Release we help “virtualize” your environment, so you can quickly reproduce it for various purposes: remote development, testing, staging, or even running production. But, today I would like to introduce our most popular feature that we are now offering for free: Instant Datasets! Instant Datasets allows you to easily create multiple pools of datasets and distribute them to your teams and it cleans up after itself. Imagine you have multiple production databases in RDS and you need that data when doing testing and development. I…

    2023

  9. 9
    FakeData365

    Get your fake data in seconds

    2025

  10. 10

    Create data on-the-fly using AI knowledge

    2023

  11. 11DA

    Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

    2020

  12. 12IB

    2025 · github.com

  13. 13
    DataFairy113

    Generate real looking fake data for your tests and demos

    2018

  14. 14

    Generate realistic, randomized data in over 30 languages

    2023

  15. 15IB

    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…

    2022 · github.com

  16. 16
    Visuals109

    Upload your data and let AI generate charts in seconds

    Sep 2025

  17. 17

    Empowering you to leverage the world’s data

    2021

  18. 18

    Generate unit tests, create docs and refactor code using AI.

    2023

  19. 19

    AI SEO-optimised website generation and content in minutes

    2024

  20. 20
    Datalink118

    Populate your design layers with realistic data

    2025

  21. 21

    Privacy-first dummy JSON generator for upto 1M records.

    Jun 2026 · dummyjsongenerator.com

  22. 22GJ
  23. 23

    The easiest data visualization tool you've every seen

    2022

  24. 24QG

Ranked by how close each launch is in meaning, then by votes. Refine with a description →