[PR #1050] [MERGED] Add Optimus to Data Analysis section #947

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GiteaMirror · 2025-11-06T13:06:00-06:00

GiteaMirror commented

2025-11-06 13:06:00 -06:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/1050
Author: @FavioVazquez
Created: 4/9/2018
Status: ✅ Merged
Merged: 4/10/2018
Merged by: @vinta

Base: master ← Head: patch-1

📝 Commits (1)

cfbf572 Add Optimus to Data Analysis section

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is this Python project?

Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.

What's the difference between this Python project and similar ones?

It implements several handy tools for data wrangling and munging that will make your life much easier. The first obvious advantage over any other public data cleaning library or framework is that it will work on your laptop or your big cluster, and second, it is amazingly easy to install, use and understand.

Webpage

https://hioptimus.com

Docs

https://docs.hioptimus.com

--

Anyone who agrees with this pull request could vote for it by adding a 👍 to it, and usually, the maintainer will merge it when votes reach 20.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/1050 **Author:** [@FavioVazquez](https://github.com/FavioVazquez) **Created:** 4/9/2018 **Status:** ✅ Merged **Merged:** 4/10/2018 **Merged by:** [@vinta](https://github.com/vinta) **Base:** `master` ← **Head:** `patch-1` --- ### 📝 Commits (1) - [`cfbf572`](https://github.com/vinta/awesome-python/commit/cfbf5723ac0f4378cdfcfdcc3e8d8d448b74ce41) Add Optimus to Data Analysis section ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is this Python project? Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend. ## What's the difference between this Python project and similar ones? It implements several handy tools for data wrangling and munging that will make your life much easier. The first obvious advantage over any other public data cleaning library or framework is that it will work on your laptop or your big cluster, and second, it is amazingly easy to install, use and understand. ## Webpage https://hioptimus.com ## Docs https://docs.hioptimus.com -- Anyone who agrees with this pull request could vote for it by adding a :+1: to it, and usually, the maintainer will merge it when votes reach **20**. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2025-11-06 13:06:00 -06:00

GiteaMirror closed this issue

2025-11-06 13:06:00 -06:00

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Reference: github-starred/awesome-python#947