flwrlabs / flower
Flower: A Friendly Federated AI Framework
Why this job: matched by what the repo talks about: framework, friendly
What it does
Flower (flwr) is a framework for building federated AI systems. The design of Flower is based on a few guiding principles:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 7,204
- +12 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- framework-1.43.0
- Released 8 days ago
- Built with
- Python
- 81% of the code
Is it looked after?
- Contributors
- 7
- Last 90 days
- Issues
- 93% closed
- 51 still open
- Pull requests
- 6,157 merged
- 353 waiting
- Releases
- 60
- 22 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| nlpodyssey / openai-agents-go | 277 | 36 days ago | Apache-2.0 | No downloads |
| BrainDAO / adk-ts | 119 | 4 months ago | MIT | No downloads |
More: languages, topics, project record and preview image
Languages
- Python 81%
- Jupyter Notebook 15%
- Swift 1%
- Shell 1%
Topics
- flower
- federated-learning
- federated-learning-framework
- federated-analytics
- fleet-learning
- fleet-intelligence
- deep-learning
- machine-learning
- pytorch
- scikit-learn
- tensorflow
- framework
Project record
- JobAgent frameworks
- StatusListed
- Commits6,009
- Forks1,250
- Watching43
- Stars in 28 days+49
- CreatedFeb 17, 2020
- First seen by usNov 7, 2026
- CheckedNov 12, 2026
