DeepEval – Unit Testing for LLMs (Open Science)
The LLM Evaluation Framework. Contribute to confident-ai/deepeval development by creating an account on GitHub.
DeepEval – Unit Testing for LLMs (Open Science) launched on October 6, 2023 with 6 votes, #1,606 of 4,393 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 3 years on.
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DeepEval – Evaluation and Unit Testing for LLMs2023 · github.com · ▲18The LLM Evaluation Framework. Contribute to confident-ai/deepeval development by creating an account on GitHub.
I implemented evals metrics for LLMs that runs locally on your machine2023 · github.com · ▲22The LLM Evaluation Framework. Contribute to confident-ai/deepeval development by creating an account on GitHub.

TensorZero2025 · github.com · ▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…


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