{"library":"delta-spark","type":"library","category":null,"description":"delta-spark provides Python APIs to interact with Delta Lake tables using Apache Spark. It enables operations like reading, writing, and time-traveling Delta tables, leveraging Spark's distributed processing capabilities. The library maintains a rapid release cadence, often releasing multiple patch and minor versions for each major iteration. The current version is 4.1.0.","language":"python","status":"active","version":"4.1.0","tags":["spark","delta lake","data lake","data engineering","pyspark"],"last_verified":"Tue Jun 09","install":[{"cmd":"pip install delta-spark","imports":["from delta.tables import DeltaTable","SparkSession.builder.config(\"spark.sql.extensions\", \"io.delta.sql.DeltaSparkSessionExtension\").config(\"spark.sql.catalog.spark_catalog\", \"org.apache.spark.sql.delta.catalog.DeltaCatalog\")"]}],"homepage":"https://delta.io","github":"https://github.com/delta-io/delta","docs":"https://docs.delta.io/latest/index.html","changelog":null,"pypi":"https://pypi.org/project/delta-spark/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":31.8,"avg_import_s":0.53,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/delta-spark/compatibility"}}