Dev tools · alternatives · 2026
24 alternatives to SDG Synthetic Data Generator
Never run out of text based synthetic data ever
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. SDG Synthetic Data Generator launched in 2024; newer entries below may have overtaken it.
- 1
Smarter synthetic data for smart software testing and AI.
2022 · its alternatives →
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Generate custom data & API to build apps in less than 30s
2021 · its alternatives →
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Reduce bias in AI systems with synthetic face datasets
2020 · its alternatives →
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The AI agent for synthetic data generation
Nov 2025 · tonic.ai · its alternatives →
- 7SO
Built a tool for transforming unstructured data into structured outputs using language models (with 100% adherence). If you're facing problems getting GPT to adhere to a schema (JSON, XML, etc.) or regex, need to bulk process some unstructured data, or generate synthetic data, check it out. We run our own tuned model (you can self-host if you want), so, we're able to have incredibly fine grained control over text generation. Repository: https://github.com/automorphic-ai/trex Playground: https://automorphic.ai/playground
2023 · automorphic.ai · its alternatives →
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AI analysis for people with too much data & not enough time
2023 · its alternatives →
- 11AT
A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…
2022 · its alternatives →
- 12OS
Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https://news.ycombinator.com/item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version (https://www.metabase.com/ai-data-generator for instant use and the source code fully open (https://github.com/metabase/dataset-generator) for anyone who wants to self-host or contribute. Looking forward to seeing how you use it and what you build on top of…
Sep 2025 · metabase.com · its alternatives →
- 13
Create ML-ready datasets for niche problems in minutes
Jan 2026 · jaconir.online · its alternatives →
- 14DT
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 · its alternatives →
- 15
Gen AI tools for factual, source-based, & up-to-date content
2023 · its alternatives →
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Generate realistic, randomized data in over 30 languages
2023 · its alternatives →
- 18
RealTestData - Safety, Speed, Accuracy, Test Data Generation
Jan 2026 · realtestdata.com · its alternatives →
- 19CA
Synthetic data generation is an essential step in training and evaluating LLMs/Agents/RAG pipelines, but tooling around this is still lacking. We're introducing Curator, an open-source library designed to streamline the data curation process. While there are many libraries to prompt LLMs, the semantics of generating synthetic data is different from prompting. For example, we need to process a large number of prompts (sometimes in millions or more) while accepting some failures, utilize several stages of prompting, incorporate human feedback, and filter out bad data using verifiers…
2025 · github.com · its alternatives →
- 20
Generate reports and analysis from your documents using GPT
2023 · its alternatives →
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- 24GD
Hello HN, I’m Andrew from docs.dev (https://docs.dev/), an AI powered docs assistant. With docs.dev you can generate your docs directly from your codebase, existing docs and other context sources. We don’t believe AI will replace technical writers—our goal is to make it easier for teams to get a solid first draft that they can review, edit, and improve. Think of it as a head start, not a finished product. More info on what we’ve built below but we wanted to release a quick, 1 minute, generate docs from your codebase tool. Try it out here:…
2025 · app.docs.dev · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →