# Announcing Flower 1.39.0

**URL:** <https://discuss.flower.ai/t/announcing-flower-1-39-0/1276>\
**Category:** General\
**Tags:** flower, release\
**Created:** [September 28, 2026, 11:46pm UTC](https://discuss.flower.ai/t/announcing-flower-1-39-0/1276 "2026-09-28T23:46:36Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![pan-h](https://dub1.discourse-cdn.com/flex013/user_avatar/discuss.flower.ai/pan-h/32/67_2.png) [@pan-h](https://discuss.flower.ai/u/pan-h)\
**Post date:** [September 28, 2026, 11:46pm UTC](https://discuss.flower.ai/t/announcing-flower-1-39-0/1276/1 "2026-09-28T23:46:36Z")

</div>

![flwr-1390](https://europe1.discourse-cdn.com/flex013/uploads/flower/original/1X/72059d9e6243e1b47f6ab5a80e51dc6d61597708.jpeg)

The Flower team is excited to announce the release of Flower 1.39 stable, packed with new updates!

**Flower is a friendly framework for collaborative AI and data science.**  
It makes novel approaches such as federated learning, federated evaluation, federated analytics, and fleet learning accessible to a wide audience of researchers and engineers.

### Thanks to our contributors

We would like to give our special thanks to all the contributors who made the new version of Flower possible (in `git shortlog` order):

`Charles Beauville`, `Daniel J. Beutel`, `Daniel Nata Nugraha`, `Dimitris Stripelis`, `Heng Pan`, `Javier`, `Riyasat Ohib`, `Taner Topal`

### What’s new?

- **Read Notion users, pages, properties, blocks, meeting notes, and databases** ([#8245](https://github.com/flwrlabs/flower/pull/8245), [#8252](https://github.com/flwrlabs/flower/pull/8252), [#8255](https://github.com/flwrlabs/flower/pull/8255), [#8266](https://github.com/flwrlabs/flower/pull/8266))

- **Add federation-wide connectors** ([#8210](https://github.com/flwrlabs/flower/pull/8210), [#8237](https://github.com/flwrlabs/flower/pull/8237), [#8239](https://github.com/flwrlabs/flower/pull/8239), [#8240](https://github.com/flwrlabs/flower/pull/8240), [#8265](https://github.com/flwrlabs/flower/pull/8265))

- **Run sparse federated learning experiments with SSFL** ([#7900](https://github.com/flwrlabs/flower/pull/7900))

- **Get faster agent responses** ([#8225](https://github.com/flwrlabs/flower/pull/8225), [#8226](https://github.com/flwrlabs/flower/pull/8226), [#8227](https://github.com/flwrlabs/flower/pull/8227), [#8231](https://github.com/flwrlabs/flower/pull/8231), [#8232](https://github.com/flwrlabs/flower/pull/8232), [#8233](https://github.com/flwrlabs/flower/pull/8233), [#8238](https://github.com/flwrlabs/flower/pull/8238))

- **General improvements** ([#8221](https://github.com/flwrlabs/flower/pull/8221), [#8229](https://github.com/flwrlabs/flower/pull/8229), [#8230](https://github.com/flwrlabs/flower/pull/8230), [#8234](https://github.com/flwrlabs/flower/pull/8234), [#8235](https://github.com/flwrlabs/flower/pull/8235), [#8242](https://github.com/flwrlabs/flower/pull/8242), [#8243](https://github.com/flwrlabs/flower/pull/8243), [#8244](https://github.com/flwrlabs/flower/pull/8244), [#8249](https://github.com/flwrlabs/flower/pull/8249), [#8253](https://github.com/flwrlabs/flower/pull/8253), [#8254](https://github.com/flwrlabs/flower/pull/8254), [#8256](https://github.com/flwrlabs/flower/pull/8256), [#8258](https://github.com/flwrlabs/flower/pull/8258), [#8259](https://github.com/flwrlabs/flower/pull/8259), [#8260](https://github.com/flwrlabs/flower/pull/8260), [#8261](https://github.com/flwrlabs/flower/pull/8261), [#8268](https://github.com/flwrlabs/flower/pull/8268), [#8270](https://github.com/flwrlabs/flower/pull/8270))