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A pandas-like deferred expression system, with first-class SQL support (Impala, PostgreSQL, SQLite, ...)

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Ibis: Python data analysis framework for Hadoop and SQL engines

Ibis is a toolbox to bridge the gap between local Python environments and remote storage and execution systems like Hadoop components (HDFS, Impala, Hive, Spark) and SQL databases (Postgres, etc.). Its goal is to simplify analytical workflows and make you more productive.

Install Ibis from PyPI with:

$ pip install ibis-framework

At this time, Ibis provides tools for the interacting with the following systems:

  • Apache Impala (incubating)
  • Apache Kudu
  • Hadoop Distributed File System (HDFS)
  • PostgreSQL (Experimental)
  • SQLite
  • Direct execution of ibis expressions against pandas object (Experimental)

Learn more about using the library at http://docs.ibis-project.org and read the project blog at http://ibis-project.org for news and updates.

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A pandas-like deferred expression system, with first-class SQL support (Impala, PostgreSQL, SQLite, ...)

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