大数据必备:Hadoop、MapReduce、Spark。探索Jupyter笔记本中的教程和演示——大多数都是独立且实时的,随时可点击运行。
mrjob 开源项目推荐(67 个)
mrjob 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 67 个仓库gomrjob - a Go Framework for Hadoop Map Reduce Jobs
The largest collection of publicly accessible Progressive Web Apps*
In this project, I used Decision Tree Learning Model as the main algorithm to build the model. Due to the big amount of flight data, we implement the project using MRJob, PySpark and Spark's MLlib then compare the performance and accuracy of those implementations.
Analysis of Hearthstone replays
Exercises and examples developed for the Hadoop with Python tutorial
该项目在 GitHub 上没有填写描述
Movie rating prediction application
Practice tasks in Python programming language using Hadoop, MRJob, PySpark for Big Data Analytics.
Analysed New York City's Yellow taxi data set with Big Data tools such as Hadoop, HBase, Sqoop, MapReduce and AWS Cloud Infrastructure.
Using MapReduce Framework
Projeto de processamento distribuído de dados utilizando Python, MRJob e AWS EMR
RECUPERACIÓ DE LA INFORMACIÓ Curs 2023-24 EPSEVG
该项目在 GitHub 上没有填写描述
Project developed to make an sentiment analysis using dictionary implemented with MrJob applying a map-reduce model. It can be executed locally or in HDFS enviroments (such as Hadoop or AWS)
Distributed word frequency analysis on 5,000 HuffPost news headlines using Apache Hadoop MapReduce and mrjob. Single-node cluster on Docker with HDFS and YARN configured from scratch. Top 50 keywords extracted via a 2-step MapReduce pipeline with NLTK stopword filtering.
Samples related to data engineering, e.g. spark, embulk, airflow, etc.
Search engine for movie cast generation.
Accurate and high performance C++ interop code generator for C#.
该项目在 GitHub 上没有填写描述
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/mrjob。
- 该话题在 GitHub 上共有 67 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 205 Star,覆盖 8 种主要语言,数据更新于 2026-11-13。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。