Comparison
flower vs archai
Verdict
Pick flower if a customizable, extendable federated learning framework supporting multiple ML frameworks, coded in Python; pick archai if archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch.
Markdown twin · flower alternatives · archai alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | flower | archai |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Slowing (252d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- flower
- A Friendly Federated AI Framework
- archai
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Stars
- flower
- 7.1k
- archai
- 485
Forks
- flower
- 1.2k
- archai
- 93
Open issues
- flower
- 368
- archai
- 4
Language
- flower
- Python
- archai
- Python
Adopt for
- flower
- A customizable, extendable federated learning framework supporting multiple ML frameworks, coded in Python.
- archai
- Archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch.
Persona
- flower
- -
- archai
- -
Runtime
- flower
- -
- archai
- -
License
- flower
- Apache-2.0
- archai
- MIT
Last pushed
- flower
- Aug 4, 2026
- archai
- Nov 24, 2025
Categories
- flower
- Model Training
- archai
- Model Training
Trust and health
Maintenance
- flower
- Very active (96%)
- archai
- Slowing (36%)
Days since push
- flower
- 0d
- archai
- 252d
Open issues (now)
- flower
- 368
- archai
- 4
Full report
- flower
- Trust report
- archai
- Trust report
Choose flower if…
- License: flower is Apache-2.0, archai is MIT.
- Tags unique to flower: ai-frameworks, federated-learning, python, pytorch.
- When you require support for a wide range of machine learning frameworks including PyTorch, TensorFlow, and scikit-learn to integrate federated learning
When NOT to use flower
- Avoid if your use case demands real-time model updates or integration with specific ML frameworks not covered by Flower's framework support
- Not recommended for projects where the federated learning setup requires extensive customization beyond what the extendable components offer
Choose archai if…
- License: archai is MIT, flower is Apache-2.0.
- Tags unique to archai: automated-machine-learning, automl, darts, deep-learning.
- Need rapid iteration in NAS projects while ensuring reproducibility
When NOT to use archai
- Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions
- Development occurs outside Python 3.8+, limiting the application of Archai tools
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (flwrlabs/flower) · observed Aug 4, 2026
- GitHub forks (flwrlabs/flower) · observed Aug 4, 2026
- Last push (flwrlabs/flower) · observed Aug 4, 2026
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/archai) · observed Aug 4, 2026
- GitHub forks (microsoft/archai) · observed Aug 4, 2026
- Last push (microsoft/archai) · observed Nov 24, 2025
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: flower 7.1k · archai 485 (synced Aug 4, 2026).
Common questions
- What is the difference between flower and archai?
- flower: A Friendly Federated AI Framework. archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. See the comparison table for live GitHub stats and shared categories.
- When should I choose flower over archai?
- Choose flower over archai when License: flower is Apache-2.0, archai is MIT; Tags unique to flower: ai-frameworks, federated-learning, python, pytorch; When you require support for a wide range of machine learning frameworks including PyTorch, TensorFlow, and scikit-learn to integrate federated learning.
- When should I choose archai over flower?
- Choose archai over flower when License: archai is MIT, flower is Apache-2.0; Tags unique to archai: automated-machine-learning, automl, darts, deep-learning; Need rapid iteration in NAS projects while ensuring reproducibility.
- When should I avoid flower?
- Avoid if your use case demands real-time model updates or integration with specific ML frameworks not covered by Flower's framework support Not recommended for projects where the federated learning setup requires extensive customization beyond what the extendable components offer
- When should I avoid archai?
- Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions Development occurs outside Python 3.8+, limiting the application of Archai tools
- Is flower or archai more popular on GitHub?
- flower has more GitHub stars (7,067 vs 485). Stars measure visibility, not whether either tool fits your constraints.
- Are flower and archai open source?
- Yes - both are open-source projects on GitHub (flower: Apache-2.0, archai: MIT).
- Where can I find alternatives to flower or archai?
- GraphCanon lists graph-backed alternatives at flower alternatives and archai alternatives (flower markdown twin, archai markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, flower or archai?
- flower: Very active. archai: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for flower and archai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: flower trust report; archai trust report.