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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Python SDK for running evaluations on LLM generated responses
| Date | Stars |
|---|---|
| 2026-07-31 | 301 |
| 2026-08-06 | 301 |
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Momentum
0.0
growth rate 0.00%/day
# Overview Athina is an Observability and Experimentation platform for AI teams. This SDK is an open-source repository of [50+ preset evals](https://docs.athina.ai/evals/preset-evals/overview). You can also use [custom evals](https://docs.athina.ai/evals/custom-evals/overview). This SDK also serves as a companion to [Athina IDE](https://athina.ai/develop) where you can prototype pipelines, run experiments and evaluations, and compare datasets. --- ### Quick Start Follow [this notebook](https://github.com/athina-ai/athina-evals/blob/main/examples/run_eval_suite.ipynb) for a quick start guide. To get an Athina API key, sign up at https://app.athina.ai --- ### Run Evals These evals can be run [programmatically](https://athina.ai/videos/run-evals-programmatically.mp4), or [via the UI](https://docs.athina.ai/ide/run-eval) on Athina IDE. <img width="1530" alt="image" src="https://github.com/athina-ai/athina-evals/assets/7515552/98494736-31b6-458f-bd0a-a5b2cbca9d70"> --- ### Compare datasets side-by-side ([Docs](https://docs.athina.ai/ide/compare-datasets)) Once a dataset is logged to Athina IDE, you can also compare it against another dataset.  Once you run evals using Athina, they will be visible in [Athina IDE](https://athina.ai/develop) where you can run experiments, evals, and compare datasets side-by-side. --- ### Preset Evals --- ### Athina Steps To use CodeExecutionV2, you need to install e2b. ```bash pip install e2b-code-interpreter ```
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d07626b78ff7bea7, topic:evaluation, topic:llm-evaluation, topic:llm-eval