This is an repository for gathering all resources that related to Quran & Arabic language

1. Farasa : Fast and Accurate Arabic Word Segmenter.
2. Madamira : A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic. It is also open for non-commercial use, so you need to get the academic license from here.
3. Mishkal : an arabic text vocalization software.
4. Recurrent Diacritizer : Diacritization of Arabic texts.
5. Python Packages : related to the Holy Quran.
6. Python Packages : related to the Arabic language.
7. Java API For The Quranic Arabic Corpus : an annotated linguistic resource which shows the Arabic grammar, syntax and morphology for each word in the Holy Quran.The corpus provides three levels of analysis: morphological annotation, a syntactic treebank and a semantic ontology.
8. PyArabic : Arabic text tools for Python to manipulate Arabic letters and text, like detecting Arabic letters, Arabic letters groups and characteristics, remove diacritics..etc.
9. Aruudy : a set of python libraries which aims for Arabic prosody (Arud) or "Science of Poetry".
10. Zekr : Free, open source and customizable Quran software supports (MAC-Windows and Linux) operating systems.The backbone of Zekr is very generic, allowing customization in many ways. Customize the language, translation, recitation, commentary, and theme. Make Zekr perfect for you.
11. QuranAnalysis (QA) Project : A Semantic Search and Intelligence System for the Quran.
12. TextMiningTheQuran : Text mining the Quran using R.

1. Tanzil : Quran text is available in several types, all in UTF-8 format
2. Opinion Mining for Arabic : multiple data-sets.
3. ArabicSA : multiple corporas and lexicons.
4. Arabic Corpora resource : The Arabic Corpora resource project aims to give references of arabic corpora with free access, to allow computing linguistics to accomplish their works.

1. Processing the Text of the Holy Quran: a Text Mining Study

Have an awesome and usefull addition that you think it should be in this list ? Feel free to contribute by sending a pull request.