Alternatives
Products that do what DataSetFast does
Generate your datasets in seconds, focus on what matters.
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Turn CSV & Excel files into charts in seconds
Apr 2026 · embedful.io
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2016 · magic.io
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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
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If you have a cloud-hosted database, read on: Visual DB was designed for you. Visual DB is the fastest way to create data entry forms for your database: Starting with an Excel spreadsheet, you can import your data into the database and create a great-looking form in under 10 minutes. Watch this video: https://youtu.be/6rVD5rmrjN8 Visual DB is a comprehensive SaaS frontend for your database. In addition to data entry forms, Visual DB also has a spreadsheet-like interface for inserting and updating data in your database. You can also build interactive reports using Visual DB.…
2024 · visualdb.com
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Hello HN, Today we're sharing with you DataConstruct, a tool to help you generate mock data and the code to consume it. Features: - Exporting data to json, yaml, xml - Generating PostgreSQL, MySQL scripts - Code gen for various languages including but not limited to C++, Rust, Typescript, Java, C#, Go, Dart, Swift, Mojo You can try it out at the link below (no signup or credit card needed), the only limit being up to 1000 rows per generation within the playground. https://www.dataconstruct.io/organizations/playground/schema... If there's languages, databases, data…
2024 · dataconstruct.io
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Paste real JSON, get 1,000 coherent rows that match it
Jun 2026 · jsondevtools.org
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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
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