Topics / #synthetic-data

Synthetic-data projects on GitHub

Artificially generated datasets for training and testing machine learning models

As of , the most-starred Synthetic-data projects on GitHub are machine-learning-for-trading (21.7K stars), deepeval (19.3K stars) and address (2K stars). GitHub.Locker tracks 5 Synthetic-data repositories with 43.6K stars combined. The fastest-growing on November 3 was address, with +39 stars in a day.

5Projects
43.6KStars in total
+86Stars in a day
Browse in the catalog →github.com/topics/synthetic-data ↗

Hot right now

Most stars gained in a day · Nov 3

+39

address

daimon3332/address · ★ 2K

A self-hosted generator of addresses that really exist, taken from official registries and open map data, plus synthetic test profiles. It covers 27 countries and regions.

+27

machine-learning-for-trading

stefan-jansen/machine-learning-for-trading · ★ 21.7K

The code repository for Machine Learning for Trading, 3rd Edition by Stefan Jansen: an end-to-end workflow for building, testing, and deploying ML-driven trading strategies, from data sourcing to live execution.

+20

deepeval

confident-ai/deepeval · ★ 19.3K

DeepEval is an open-source LLM evaluation framework: a simple-to-use way to evaluate large-language model systems with research-backed metrics like G-Eval, answer relevancy, and hallucination checks.

The all-time top

5 projects · by stars

  1. #1 · stefan-jansen/machine-learning-for-trading

    machine-learning-for-trading

    The code repository for Machine Learning for Trading, 3rd Edition by Stefan Jansen: an end-to-end workflow for building, testing, and deploying ML-driven trading strategies, from data sourcing to live execution.

    21.7K
  2. #2 · confident-ai/deepeval

    deepeval

    DeepEval is an open-source LLM evaluation framework: a simple-to-use way to evaluate large-language model systems with research-backed metrics like G-Eval, answer relevancy, and hallucination checks.

    19.3K
  3. #3 · daimon3332/address

    address

    A self-hosted generator of addresses that really exist, taken from official registries and open map data, plus synthetic test profiles. It covers 27 countries and regions.

    2K
  1. 4

    hypoarena

    526OpSafari/hypoarena · Python

    hypoarena is a fully offline workbench that decomposes the generate-debate-evolve 'AI co-scientist' pipeline into individually testable mechanisms: a citation-bearing hypothesis-evidence graph, a synthetic literature factory, grounding verification, pluggable agent adapters, Elo tournaments, paraphrase dedup, and Bayesian evidence accumulation.

  2. 5

    datamimic

    116rapiddweller/datamimic · Python

    DATAMIMIC CE is an open-source, MIT-licensed Python engine that generates deterministic synthetic test data from declarative models — no source data required — and can also pseudonymize real staging or QA exports. It is the free core of the commercial DATAMIMIC Enterprise Platform, aimed at regulated industries.

Often tagged together