treeshap
treeshap: A free R package for explaining supported tree ensemble models with SHAP. Ranked #23 of 29 in AI Model Explainability Software by our editors (6.0/10); pricing: Free plan; best for teams explaining supported tree ensemble models.
At a glance
- Editor score6.0 / 10
- PricingFree plan
- Best forTeams explaining supported tree ensemble models
- Free planYes
- Paid fromNone
- Feature attributionYes
- Facts checked28 Sep 2026
Where it wins
- Explains models from six listed tree ensemble libraries
- Plots feature contributions, importance, dependence, and interactions
- Free, open-source R package available on CRAN and GitHub
Where it doesn't
- Coverage is limited to supported tree ensemble models
- CatBoost support is only available from a separate development branch
- Does not provide counterfactuals, fairness analysis, or audit reports
Our verdict on treeshap
treeshap is a free, open-source R package for calculating SHAP explanations for tree ensemble models. It is aimed at teams that need to interpret supported models rather than use a hosted explainability service. The package converts compatible models into a unified representation, calculates explanations for observations, and can also predict from that representation. It is available on Linux, Windows, and macOS, and can be installed from CRAN or GitHub.
Its main strength is a focused set of tree-model explanation tools. The package supports xgboost, LightGBM, GPBoost, gbm, ranger, and randomForest. Plotting functions cover per-observation feature contributions, average absolute feature importance, and feature dependence; it also calculates and plots SHAP interaction values. A reference dataset can be set for SHAP calculations. This makes treeshap relevant when a team’s work centers on interpreting these supported model families and examining how feature effects vary across observations.
The scope is also the key constraint: treeshap is for tree ensemble models, not a general-purpose explanation package for other model types. CatBoost support is available only on a separate development branch, rather than in the main package version. It is self-hosted and lists documentation as its support channel; it does not provide counterfactuals, fairness analysis, or audit reports. Choose treeshap when its supported models and SHAP plots match the work. Teams needing those other analysis capabilities or broader model coverage should consider an alternative.
treeshap pricing
treeshap fact sheet
| Free plan | Yes |
|---|---|
| Paid from | None |
| Feature attribution | Yes |
| Counterfactual explanations | No |
| Fairness analysis | No |
| Audit reports | No |
| Deployment options | Self_hosted |
| Supported model types | xgboost, LightGBM, GPBoost, gbm, ranger, randomForest; CatBoost on separate branch |
| Deployment | Self-hosted |
| Platforms | Linux, Windows, macOS |
| Support | Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: xgboost, LightGBM, GPBoost, gbm, ranger, randomForest |
| Pricing | Free plan |
| Website | modeloriented.github.io |
| Facts checked | 28 Sep 2026 |
treeshap integrations
treeshap lists 6 integrations on its own site.
- xgboost
- LightGBM
- GPBoost
- gbm
- ranger
- randomForest
Alternatives to treeshap
- AIX360A broad, self-hosted Python toolkit for local, global, and time-series model explanations.9.1
- Arize AIProduction-focused explainability pairs feature attribution with fairness monitoring and model comparisons.8.5
- Fiddler AIA tracing and evaluation platform for teams debugging LLM and agent workflows.7.4
See all treeshap alternatives →
Used treeshap? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used treeshap for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
treeshap is listed in our AI Model Explainability Software directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/treeshap/"><img src="https://www.itechguides.com/best/badge/treeshap.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. How we rank.
Last updated · How we research and update