--- id: pyspark-pandas version: "0.0.7" license: UNKNOWN license_treatment: unclear maintenance: abandoned --- # pyspark-pandas — Tools and algorithms for pandas Dataframes distributed on pyspark. Please consider the SparklingPandas project before this one License: unclear · Maintenance: abandoned · Downloads: 895.2K/mo ## What it is and what it does pyspark-pandas aims to bridge Pandas and Apache Spark by providing utilities to distribute Pandas DataFrames and Series across Spark clusters. It was designed to enable data analysis workflows that combine Pandas' ease-of-use with Spark's distributed processing power for handling large datasets. However, this project has been abandoned since 2014-10-14 and is no longer maintained. The package itself explicitly directs users to consider alternatives instead, suggesting this codebase may have been superseded. With no runtime dependencies listed and no recent activity, it represents a snapshot from the early Spark-Pandas integration era. Use it for: - Distributing Pandas DataFrames across Spark clusters for parallel processing of large datasets - Combining Pandas data manipulation with Spark's distributed computing for legacy workflows - Prototyping distributed data analysis before migrating to modern solutions ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Provides tools for distributing Pandas DataFrames and Series across Apache Spark clusters for large-scale data processing. No. This package is abandoned (last release 2014-10-14, no commits since), has an unclear license, and explicitly recommends users evaluate alternatives instead. Modern alternatives are far better choices for any current use case. ## Install pip install pyspark-pandas uv add pyspark-pandas poetry add pyspark-pandas ## Installing pyspark-pandas Before you install: High install friction and abandoned maintenance status. Last release was 2014-10-14, with no commits since then. The project itself recommends evaluating alternatives before adopting this package. License in practice: License is marked UNKNOWN with no SPDX identifier, creating unclear legal standing for use or redistribution. Quickstart: pip install pyspark-pandas==0.0.7 import pyspark_pandas No runtime dependencies declared; compatibility with modern PySpark and Pandas versions is unknown given the 2014-10-14 release date. Verify before relying: - Whether this package is compatible with modern versions of PySpark and Pandas - What Python versions this package actually supports (unspecified in metadata) - Whether the codebase has any undisclosed security issues despite zero OSV records ## Package facts - License: UNKNOWN (unclear) - Python support: unspecified - Install friction: high - Maintenance: abandoned - Downloads: 895.2K/month (top 5,000 on PyPI) - Known vulnerabilities: none known ## Tags pandas dataframe spark distributed, pyspark pandas integration, distributed pandas on spark, spark dataframe tools, large-scale pandas processing, abandoned, legacy [View on SkillFed](https://skillfed.io/packages/pyspark-pandas) · [View on PyPI](https://pypi.org/project/pyspark-pandas/)