Open Source BSD Synthetic Data Generation Software

Synthetic Data Generation Software for BSD

Browse free open source Synthetic Data Generation software and projects for BSD below. Use the toggles on the left to filter open source Synthetic Data Generation software by OS, license, language, programming language, and project status.

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  • 1
    benerator is a framework for creating realistic and valid high-volume test data, used for load and performance testing and showcase setup. Data is generated from an easily configurable metadata model and exported to databases, XML, CSV or flat files.
    Downloads: 5 This Week
    Last Update:
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  • 2
    DATA Gen™

    DATA Gen™

    DATA Gen™ - Test Data Generator to generate realistic test data.

    DATA Gen™ Test Data Generator offers facilities to automate the task of creating test data for new or existing data bases. It helps lower the programming effort required, while reducing manual test data generation errors and the ripple effect that they cause on production systems, users and maintenance.
    Downloads: 1 This Week
    Last Update:
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  • 3
    DBFeeder

    DBFeeder

    Highly Customizable Test Data Generator

    DBFeeder is a great tool to generate synthetic testdata for Oracle Databases and it is ideal for companies who wants to outsource development. Thanks to his original approach, data can be highly customizable and it even fits primary and foreign keys constraints of tables.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    JRandO is a test data generator or better test object generator framework. It can be used in JUnit tests or in performance test (for e.g. using JMeter). It may also be useful in anonymization of data or in a simulation environment.
    Downloads: 0 This Week
    Last Update:
    See Project
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  • 5
    Sample code for JRandO project. (testdata generator, test data generator, test object generator, simulation)
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Synthetic Data Kit

    Synthetic Data Kit

    Tool for generating high quality Synthetic datasets

    Synthetic Data Kit is a CLI-centric toolkit for generating high-quality synthetic datasets to fine-tune Llama models, with an emphasis on producing reasoning traces and QA pairs that line up with modern instruction-tuning formats. It ships an opinionated, modular workflow that covers ingesting heterogeneous sources (documents, transcripts), prompting models to create labeled examples, and exporting to fine-tuning schemas with minimal glue code. The kit’s design goal is to shorten the “data prep” bottleneck by turning dataset creation into a repeatable pipeline rather than ad-hoc notebooks. It supports generation of rationales/chain-of-thought variants, configurable sampling, and guardrails so outputs meet format constraints and quality checks. Examples and guides show how to target task-specific behaviors like tool use or step-by-step reasoning, then save directly into training-ready files.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    This software allows for a user to generate test data. This is useful for testing Hadoop or other data processing clusters.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    Platform independent, flexible, easy-to-use and free test data generator for database developers and testers, written in pure Java.
    Downloads: 0 This Week
    Last Update:
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