{"library":"tfx-bsl","type":"library","category":null,"description":"tfx-bsl (TFX Basic Shared Libraries) is a foundational Python library within the TensorFlow Extended (TFX) ecosystem. It provides low-level, high-performance data manipulation primitives, including efficient handling of TF.Example and Apache Arrow data structures, and optimized C++ extensions. It serves as a core dependency for many TFX libraries and components like TensorFlow Data Validation (TFDV) and TensorFlow Transform (TFT). The current version is 1.17.1, and it follows the TFX release cadence, typically aligning with TensorFlow releases.","language":"python","status":"active","version":"1.17.1","tags":["tensorflow","tfx","data-processing","apache-beam","arrow","machine-learning"],"last_verified":"Mon May 25","install":[{"cmd":"pip install tfx-bsl","imports":["from tfx_bsl.coders.example_coder import ExampleToRecordBatchDecoder","from tfx_bsl.coders.example_coder import RecordBatchToExamplesEncoder"]},{"cmd":"pip install tfx-bsl[tensorflow]","imports":[]}],"homepage":"https://www.tensorflow.org/tfx","github":"https://github.com/tensorflow/tfx-bsl","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tfx-bsl/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":20,"avg_install_s":79.1,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/tfx-bsl/compatibility"}}