googleapis/google-cloud-python bigframes-v2.40.0

bigframes: v2.40.0

on GitHub

v2.40.0 (2026-05-13)

Features

• Add bigframes.execution_history API to track BigQuery jobs (#16588) (fa20a740)

  import bigframes.pandas as bpd
  bpd.options.compute.enable_execution_history = True
  df = bpd.read_gbq("my_table")
  # ... perform operations ...
  history = bpd.execution_history
  print(history.jobs) # Access BigQuery job details for executed queries

• Implement ai.similarity and ai.embed for text embeddings and semantic similarity (#16771, #16759) (d4afa2c8, fcb4579b)

  import bigframes.pandas as bpd
  # Generate embeddings
  df["embeddings"] = bpd.bigquery.ai.embed(df["text_col"])
  # Compute similarity
  df["similarity"] = bpd.bigquery.ai.similarity(df["embeddings_a"], df["embeddings_b"])

• Support hparam_range and hparam_candidates parameters for hyperparameter tuning in model creation (#16640) (ca47835c)

• Update ai.score, ai.classify and ai.if_ parameters to match their SQL equivalents (#16919, #16990, #16857) (9f42fe14, e9c52b12, f3cb4ad0)

• Support unstable sorting in sort_values and sort_index (#16665) (bbdeb70f)

• Support loading Avro and ORC data formats (#16555) (6d46cba3)

• Add NumPy ufunc support directly on column expressions (#16554) (2f792abd)

Bug Fixes

• Fix bugs compiling ambiguous ids and in subqueries (#16617) (479e44dd)

• BigFrames respects bq default region (#16933) (ef9945a5)

• avoid views when querying BigLake tables from SQL cells (#16562) (fdd3e0de)

• avoid copy argument warning in to_pandas (#16917) (fe5245b8)

Performance Improvements

• Improve write api upload throughput (#16641) (ef856b04)

Documentation

• Add docs to the to_csv methods of dataframe and series (#16570) (a8fccefd)