# Version 1.20 released

**URL:** <https://openturns.discourse.group/t/version-1-20-released/251>\
**Category:** Announcements\
**Created:** [November 10, 2022, 7:25am UTC](https://openturns.discourse.group/t/version-1-20-released/251 "2022-11-10T07:25:22Z")\
**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:** [November 10, 2022, 7:25am UTC](https://openturns.discourse.group/t/version-1-20-released/251/1 "2022-11-10T07:25:22Z")

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Hello everyone,

We are happy to announce the availability of OpenTURNS 1.20 today featuring:

- the chaos expansion + sensitivity on field-\>vector models (as presented at the user day in june):  
[Estimate Sobol indices on a field to point function — OpenTURNS 1.20rc1 documentation](http://openturns.github.io/openturns/latest/auto_reliability_sensitivity/reliability_processes/plot_field_fca_sobol.html)
- advanced metropolis-hastings customization:  
[Customize your Metropolis-Hastings algorithm — OpenTURNS 1.20rc1 documentation](http://openturns.github.io/openturns/latest/auto_calibration/bayesian_calibration/plot_ackley_distribution.html)
- distribution estimation from quantile levels:  
[Define a distribution from quantiles — OpenTURNS 1.20rc1 documentation](http://openturns.github.io/openturns/latest/auto_data_analysis/distribution_fitting/plot_quantilematching_estimator.html)

Beware that some of these new classes are part of a new openturns.experimental submodule until deemed stable enough to be moved to the core module in some later release.

See the full changes here:

> <https://github.com/openturns/openturns/blob/v1.20/ChangeLog>

We made macos/arm64 binaries available via conda and now pip too.  
Also Python 3.11 builds are available (except for macos/arm64 via pip which only has python\>=3.8,\<3.11).

Thanks to all the contributors to this release.

The OpenTURNS team