# OpenTURNS 1.25 is available

**URL:** <https://openturns.discourse.group/t/openturns-1-25-is-available/412>\
**Category:** Announcements\
**Created:** [June 17, 2025, 7:14am UTC](https://openturns.discourse.group/t/openturns-1-25-is-available/412 "2025-06-17T07:14:43Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![schueller](https://yyz2.discourse-cdn.com/free1/user_avatar/openturns.discourse.group/schueller/32/3_2.png) [@schueller](https://openturns.discourse.group/u/schueller)\
**Post date:** [June 17, 2025, 7:14am UTC](https://openturns.discourse.group/t/openturns-1-25-is-available/412/1 "2025-06-17T07:14:43Z")

</div>

Hi all,

This release features lots of new methods:

- Continued work on conditional distributions:  
[Conditional distributions — OpenTURNS 1.25.1 documentation](http://openturns.github.io/openturns/1.25/theory/probabilistic_modeling/conditional_distributions.html?highlight=conditional+distribution)  
[Create a Point Conditional Distribution — OpenTURNS 1.25.1 documentation](http://openturns.github.io/openturns/1.25/auto_probabilistic_modeling/distributions/plot_point_conditional_distribution.html?highlight=pointconditional)

- Extension of quantile confidence intervals:  
[Estimation of a quantile bound — OpenTURNS 1.25.1 documentation](http://openturns.github.io/openturns/1.25/theory/data_analysis/quantile_confidence_estimation.html?highlight=quantile+confidence)  
[Estimate a confidence interval of a quantile — OpenTURNS 1.25.1 documentation](http://openturns.github.io/openturns/1.25/auto_data_analysis/manage_data_and_samples/plot_quantile_confidence_estimation.html)

- New Gaussian Process metamodel API (formerly called Kriging):  
[Gaussian Process Regression vs KrigingAlgorithm — OpenTURNS 1.25.1 documentation](http://openturns.github.io/openturns/1.25/auto_getting_started/plot_kriging_vs_gpr.html?highlight=gaussian+process)

- Line Sampling  
[Estimate a probability using Line Sampling — OpenTURNS 1.25.1 documentation](http://openturns.github.io/openturns/1.25/auto_reliability_sensitivity/reliability/plot_line_sampling.html#sphx-glr-auto-reliability-sensitivity-reliability-plot-line-sampling-py)

- The LOLA-Voronoi sequential design:  
[LOLA-Voronoi sequential design of experiment — OpenTURNS 1.25.1 documentation](http://openturns.github.io/openturns/1.25/auto_reliability_sensitivity/design_of_experiments/plot_lola_voronoi.html?highlight=lola)

… and much more ; see the full changelog:

> <https://github.com/openturns/openturns/blob/v1.25/ChangeLog>

The documentation is accessible [here](http://openturns.github.io/openturns/1.25/index.html)

The release is available on all channels including pypi and conda:

> **[Installation — OpenTURNS 1.25 documentation](https://openturns.github.io/openturns/latest/install.html)**

and this time we also have aarch64 binaries for Linux

Thanks for your feedback thoughout the previous months that helped deliver a better version.

The OT team