Alternatives
Products that do what MockNova does
The 100% Client-Side Data Engine: Generate, Clean & Mock
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Hey 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…
2024 · github.com
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2019 · mockit.netlify.com
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2019 · httptoolkit.tech
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2018 · mocktastic.com
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2017 · mockoon.com
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2023 · jsongenerator.io
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2023 · mockingbird.tinybird.co
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Hi HN, I built the first version of Mocktail years ago. I recently came back to the project, and after a pretty substantial rebuild, v4 is now out. Mocktail is a free and open-source, self-hosted mock API server with a built-in dashboard and database, packaged as a single ~25 MB binary. You can run it locally or on your own infrastructure — no account or hosted service required. You can define endpoints and responses, generate realistic data per request, customize headers, status codes and latency, and inspect incoming requests in real time. With v4, I also added MCP support, so coding…
23d ago · getmocktail.com
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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
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2018 · github.com
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I made an API mocking tool that imports a schema, populates fake data, then runs a local server. This is helpful for testing APIs or advanced prototyping. A demo video is here: https://www.loom.com/share/abad2cdf325e4e0b9addea1e14406166?... There’s two fun things about this tool 1. the complete lack of configs and schema annotations. i.e. you don’t need to learn faker-js. You just need your existing GraphQL schema and to to swap out the server URL in your frontend code. 2. the depth. Your fake objects have relationships to other fake objects. And in proxy mode, real…
2023 · github.com
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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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