AjaySreekumar47/scicode-sir-gemini-benchmark

The project is a specific implementation/wrapper of the existing SciCode benchmark tailored for Google's Gemini models. With 0 stars and forks after nearly two months, it lacks any community traction or signal of adoption. Its defensibility is near zero because it relies on public datasets (SciCode) and standard API calling patterns. Frontier labs like Google already have internal, more robust versions of these benchmarks for their own models. The value here is purely as a reference implementation for a specific evaluation run, rather than a lasting tool or platform. Competitors include the original SciCode repository and established LLM evaluation frameworks like Weights & Biases, LangSmith, or EvalPlus, which offer much broader coverage and deeper integration.