{"library":"dataengine","type":"library","category":null,"description":"Dataengine is a general-purpose Python package designed for streamlined data engineering tasks. It provides a unified API for working with various data processing backends such as Pandas, Polars, Spark, and Ray, along with integrations for common data formats (CSV, Parquet, JSON) and relational databases via SQLAlchemy and DuckDB. Currently at version 0.0.92, it is under active development with a focus on providing flexible and scalable data manipulation tools.","language":"python","status":"active","version":"0.0.92","tags":["data-engineering","dataframe","etl","pandas","polars","spark","ray","database"],"last_verified":"Tue May 26","install":[{"cmd":"pip install dataengine","imports":["from dataengine import SparkSession","from dataengine import PandasDataFrame","from dataengine import CSV"]},{"cmd":"pip install 'dataengine[spark]' 'dataengine[s3]' 'dataengine[postgres]'","imports":[]}],"homepage":null,"github":"https://github.com/leealessandrini/dataengine","docs":null,"changelog":null,"pypi":"https://pypi.org/project/dataengine/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":29.9,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/dataengine/compatibility"}}