lazygit
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
The ultimate developer tool for generating high-fidelity synthetic data and mock API endpoints.
By 2026, Dummi has solidified its position as a critical infrastructure component for modern software development life cycles (SDLC). It addresses the 'cold start' problem in frontend development by allowing engineers to architect complex, relational datasets without a functioning backend. Unlike primitive random string generators, Dummi utilizes sophisticated probabilistic models to ensure generated data (names, addresses, financial records) adheres to realistic patterns and regional formats. Its technical architecture supports schema-driven generation, where users can define nested JSON structures that mirror their production databases. A key market differentiator is its integrated Mock API service, which allows developers to host their generated schemas as live RESTful endpoints, facilitating seamless integration with frameworks like React, Vue, and Next.js. For enterprise users, Dummi provides sophisticated seeding capabilities for SQL databases and CSV exports for data science training, all while maintaining strict adherence to data privacy by ensuring no real-world PII is ever utilized. It represents a paradigm shift from 'dummy data' to 'architected synthetic data,' reducing development friction and accelerating time-to-market for high-complexity applications.
Allows developers to create parent-child relationships between datasets, ensuring that generated IDs match across different resources.
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
The version-controlled prompt registry for professional LLM orchestration.
The Developer-First Workflow-as-Code Platform for Orchestrating Human and Machine Tasks.
A command-line task runner that eliminates the syntax debt of Make for modern software engineering.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Define fields based on IF/THEN logic (e.g., if 'country' is 'USA', set 'currency' to 'USD').
Instant deployment of REST endpoints that serve your synthetic data with support for GET, POST, PUT, DELETE.
Context-aware generation that provides localized addresses, phone numbers, and names for over 40 countries.
Generates valid SQL INSERT statements tailored to MySQL, PostgreSQL, or SQLite syntax.
Define data generation patterns using Regular Expressions for proprietary IDs or codes.
Generates chronological data points with controllable trends and noise for testing charts and analytics.
Frontend teams are often blocked by unfinished backend APIs.
Registry Updated:2/7/2026
Databases behave differently with 10 rows vs 1,000,000 rows.
Using real user data in demo or research environments risks PII leaks.