As of December 31, 2026, which open-source AI evaluation harness (such as LM Evaluation Harness or LightEval) has the highest number of GitHub stars among repositories used for benchmarking frontier model reasoning?
As of July 2026, it is not possible to definitively identify which open-source AI evaluation harness will have the highest number of GitHub stars on December 31, 2026, as repository growth is dynamic and the date is in the future Verified Answer #1 Verified Answer #2 Verified Answer #3. Any claim identifying a specific leader for that date is a forecast rather than a verified fact Verified Answer #2 Verified Answer #3.
Based on data from July 2026, openai/evals holds the highest number of stars among prominent evaluation frameworks, with approximately 18,900 to 19,000 stars Verified Answer #2 Verified Answer #4. It is followed by confident-ai/deepeval, which has between 16,500 and 17,000 stars Verified Answer #1 Verified Answer #2. While these repositories lead in total star count, they are often categorized as tools for production-grade LLM application testing and agentic workflows rather than pure academic benchmarking Verified Answer #1 Verified Answer #2.
The EleutherAI/lm-evaluation-harness is widely recognized as the industry standard for standardized academic benchmarking of frontier model reasoning capabilities Verified Answer #1 Verified Answer #5. As of July 2026, it has approximately 13,000 to 13,400 stars Verified Answer #2 Verified Answer #6. Other significant repositories in this category include OpenCompass with approximately 7,200 stars, stanford-crfm/helm with approximately 2,900 stars, and huggingface/lighteval with approximately 2,500 stars Verified Answer #5 Verified Answer #6.