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yhat avatar

yhat/ggplotArchived

0
View on GitHub↗
yhat.github.io/ggpy↗

Ggplot

ggplot port for python

Features

  • Data Analysis Visualization - Python implementation of the ggplot2 API.

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3,688 stars·559 forks·Python·BSD-2-Clause·12 views

Star history

Star history chart for yhat/ggplotStar history chart for yhat/ggplot

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Frequently asked questions

What does yhat/ggplot do?

ggplot port for python

What are the main features of yhat/ggplot?

The main features of yhat/ggplot are: Data Analysis Visualization.

Which projects share features with yhat/ggplot?

Projects with overlapping indexed features include: apache/spark — Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation… avelino/mining — Business Intelligence (BI) in Python, OLAP. cloudera/impala — Real-time Query for Hadoop; mirror of Apache Impala. continuumio/bokeh — Interactive Data Visualization in the browser, from Python. dcjones/gadfly.jl — Crafty statistical graphics for Julia. apache/hadoop-mapreduce — Mirror of Apache Hadoop MapReduce.

Projects sharing features with Ggplot

These projects share indexed features with Ggplot. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • apache/sparkapache avatar

    apache/spark

    43,467View on GitHub↗

    Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation graphs. It functions as a distributed machine learning framework, a graph processing system, a real-time stream processor, and a SQL analytics engine. The system enables the execution of distributed SQL querying, large-scale graph analysis, and real-time stream analytics across clusters of machines. It also provides a scalable environment for implementing machine learning algorithms and predictive model development on massive datasets. The engine incorporates relational query e

    Scalabig-datajavajdbc
    View on GitHub↗43,467
  • avelino/miningavelino avatar

    avelino/mining

    1,284View on GitHub↗

    Business Intelligence (BI) in Python, OLAP

    Python
    View on GitHub↗1,284
  • cloudera/impalacloudera avatar

    cloudera/impala

    34View on GitHub↗

    Real-time Query for Hadoop; mirror of Apache Impala

    C++
    View on GitHub↗34
  • apache/hadoop-mapreduceapache avatar

    apache/hadoop-mapreduce

    115View on GitHub↗

    Mirror of Apache Hadoop MapReduce

    Java
    View on GitHub↗115
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