Model-driven synthetic test data for CI/CD and analytics - deterministic, privacy-preserving, and domain-aware. Includes Python APIs, XML pipelines, and MCP/IDE integration to orchestrate realistic datasets for finance, healthcare, and other regulated environments.
GitHub repository with 35 stars and 3 forks.
Language: Python
Topics: data-generation, data-privacy, data-simulation, deterministic, faker, gdpr-compliant, mcp, mit-license, open-source, pii
2026-06-05: 35 stars and 3 forks.
High-performance open-source synthetic data engine. Uses LLMs for schema design and vectorized NumPy for deterministic, scalable generation.
GitHub repository with 57 stars and 3 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: data-engineering, data-generation, database-seeding, developer-tools, generative-ai, llm
Synthetic data generation for tabular data
GitHub repository with 3,497 stars and 416 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: synthetic-data, machine-learning, relational-datasets, multi-table, time-series, synthetic-data-generation
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
GitHub repository with 470 stars and 97 forks.
Trending score: 0.05.
Language: Python
Topics: datagen, pyspark, python, data-generation, faker, spark
The agent that grows with you
GitHub repository with 181,865 stars and 31,205 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 13,768 stars and 870 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,484 stars and 2,256 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
Learn it. Build it. Ship it for others.
GitHub repository with 28,622 stars and 4,680 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
GitHub repository with 30,029 stars and 4,231 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,396 stars and 28,042 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
High-performance open-source synthetic data engine. Uses LLMs for schema design and vectorized NumPy for deterministic, scalable generation.
GitHub repository with 57 stars and 3 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: data-engineering, data-generation, database-seeding, developer-tools, generative-ai, llm
Synthetic data generation for tabular data
GitHub repository with 3,497 stars and 416 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: synthetic-data, machine-learning, relational-datasets, multi-table, time-series, synthetic-data-generation
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
GitHub repository with 470 stars and 97 forks.
Trending score: 0.05.
Language: Python
Topics: datagen, pyspark, python, data-generation, faker, spark