Python lib to run evals across providers: OpenAI, Anthropic, etc.
Library makes requests asynchronously across models, so you can spend a lot of $$ quickly if you want XD. But seriously I hope this enables folks to create and run evals (especially safety ones) a lot easier than before.
Python lib to run evals across providers: OpenAI, Anthropic, etc. launched on June 22, 2024 with 8 votes, #1,232 of 4,672 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
Run safety evals across providers (OpenAI, Anthropic, etc...) - crizCraig/evals
Does a similar job
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Opper AIJul 2026 · opper.ai · ▲229Hey HN! After the Car Wash Test post got quite a big discussion going (400+ comments, https://news.ycombinator.com/item?id=47128138), I spent the past few weeks building a tool so anyone can run these kinds of questions and get structured results. No signup and free to use. You type a question, define answer options, pick up to 50 models at a time from a pool of 200+, and they all answer independently under identical conditions. No system prompt, structured output, same setup for every model. You can also run a debate round where models see each other's reasoning and get a…
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Try it out! https://glhf.chat/ Hey HN! We’ve been working for the past few months on a website to let you easily run (almost) any open-source LLM on autoscaling GPU clusters. It’s free for now while we figure out how to price it, but we expect to be cheaper than most GPU offerings since we can run the models multi-tenant. Unlike Together AI, Fireworks, etc, we’ll run any model that the open-source vLLM project supports: we don’t have a hardcoded list. If you want a specific model or finetune, you don’t have to ask us for it: you can just paste the Hugging Face link in and…
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