基于 DuckDB 的 TypeScript 数据分析库，能快速处理表格、地理空间、图网络和向量相似度检索，还支持 AI 与 Google Sheets 集成。
开源的 ML 与 LLM 可观测性框架，用 100+ 指标评估、测试并监控表格数据到生成式 AI 的数据管道与模型表现。
轻量灵活的数据校验库，用声明式 schema 给 pandas 等 DataFrame 做类型、范围和统计假设检查，在数据清洗和管道里提前拦住脏数据。
用 Python 函数声明式定义数据流，自动生成可测试、带血缘追踪的 DAG，省去手写编排代码，适合数据工程和特征工程。
…red name and annotator kind columns in annotation dataframes ([ 17433](https://github.com/Arize-ai/phoenix/issues/17433)) ([3146086](https://github.com/Arize-ai/phoenix/c
…ntext import pandera.datafusion as pa schema = pa.DataFrameSchema( { "state": pa.Column(str), "city": pa.Column(str), "price": pa.Column(int, pa.Check.in range(5, 20)), }
What's Changed Add spec for generic dataframe-agnostic schema API by @cosmicbboy in https://github.com/unionai-oss/pandera/pull/2401 docs: announce PyTorch TensorDict sup
…at's Changed feat(polars): add support for nested DataFrameModel validation by @Nikhil-jaiswal007 in https://github.com/unionai-oss/pandera/pull/2439 ci: always run linte
…/pull/2399 fix(pandas): run column parsers before dataframe-level coercion by @sha-sta in https://github.com/unionai-oss/pandera/pull/2400 fix(pandas): treat NA as coerci
…ts-3.3.1 Significant Changes Pandas 3 changes how DataFrame XComs are stored and read back ( 71169) pandas 3 exposes its public classes from the pandas namespace, so a Da