Gumtree
An awesome code differencing tool
An awesome code differencing tool that you can [integrate with Git](https://github.com/GumTreeDiff/gumtree/wiki/VCS-Integration)! The project is written primarily in Java, distributed under the GNU Lesser General Public License v3.0 license, first published in 2014. It has gained significant community traction with 1,314 stars and 187 forks on GitHub. Key topics include: abstract-syntax-tree, diff, gumtree.
GumTree
An awesome code differencing tool that you can integrate with Git!
Status
Description
GumTree is a syntax-aware diff tool. It improves text-based diff tools in two important ways:
- the edit actions are always aligned with the syntax,
- it can detect moved or renamed elements in addition of deleted and inserted code.
Documentation
To use GumTree, you can start by consulting the Getting Started page from our wiki. If you have a question to ask, please use GitHub's discussions instead of opening an issue.
Screenshots
The directory diff viewer

The file diff viewer


Supported languages
We already deal with a wide range of languages: C, Java, JavaScript, Python, R, Ruby. Click here for more details about the language we support.
More languages are coming soon, if you want to help contact me.
Citing GumTree
We are researchers, therefore if you use GumTree in an academic work we would be really glad if you cite the relevant articles among the ones in the following bibtex:
bibtex@inproceedings{DBLP:conf/kbse/FalleriMBMM14, author = {Jean{-}R{\'{e}}my Falleri and Flor{\'{e}}al Morandat and Xavier Blanc and Matias Martinez and Martin Monperrus}, title = {Fine-grained and accurate source code differencing}, booktitle = {{ACM/IEEE} International Conference on Automated Software Engineering, {ASE} '14, Vasteras, Sweden - September 15 - 19, 2014}, pages = {313--324}, year = {2014}, url = {http://doi.acm.org/10.1145/2642937.2642982}, doi = {10.1145/2642937.2642982} } @article{DBLP:journals/tse/MartinezFM23, author = {Matias Martinez and Jean{-}R{\'{e}}my Falleri and Martin Monperrus}, title = {Hyperparameter Optimization for {AST} Differencing}, journal = {{IEEE} Trans. Software Eng.}, volume = {49}, number = {10}, pages = {4814--4828}, year = {2023}, url = {https://doi.org/10.1109/TSE.2023.3315935}, doi = {10.1109/TSE.2023.3315935}, timestamp = {Thu, 09 Nov 2023 21:13:48 +0100}, biburl = {https://dblp.org/rec/journals/tse/MartinezFM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} } @inproceedings{DBLP:conf/icse/FalleriM24, author = {Jean{-}R{\'{e}}my Falleri and Matias Martinez}, title = {Fine-grained, accurate and scalable source differencing}, booktitle = {Proceedings of the 46th {IEEE/ACM} International Conference on Software Engineering, {ICSE} 2024, Lisbon, Portugal, April 14-20, 2024}, pages = {231:1--231:12}, publisher = {{ACM}}, year = {2024}, url = {https://doi.org/10.1145/3597503.3639148}, doi = {10.1145/3597503.3639148}, timestamp = {Mon, 24 Jun 2024 15:20:25 +0200}, biburl = {https://dblp.org/rec/conf/icse/FalleriM24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
Contributors
Showing top 12 contributors by commit count.
