Aim vs MLflow: perbandingan

Aim vs MLflow
Fakta	Aim	MLflow
Bahasa	Python	Python
Lisensi	Apache-2.0	Apache-2.0
Bintang	6.3k	28k
Terbaru	v3.29.1	v3.16.1
Push terakhir	2026-10-06	2026-10-06
Frekuensi rilis	sekitar 37 hari antar rilis	sekitar 11 hari antar rilis
Kontributor aktif	0 penulis commit di branch default dalam 90 hari terakhir	98+ penulis commit di branch default dalam 90 hari terakhir
Peringatan	tidak ada	tidak ada

Hubungan keduanya

Keduanya menggantikan Weights & Biases. Alternatif Weights & Biases →
SebagianAimLogs and compares training runs in a local UI, without hosted collaboration.
Pengganti penuhMLflowA tracking server for runs, metrics and artefacts, with a model registry.

v3.29.12025-05-08🚀 v3.29.1 - Improved query performance by reading from single unified database and constant data indexing, fixes in min/max calculation in UI and jupiter/colab integration
v3.28.02025-03-21🚀 v3.28.0 - Improved performance by removing redundant checks and bypassing runs known to yield false results, new callback for hugging face distributed runs, fixes in Tag duplicates handling, remote tracking exception handling and more, code style improvements.
v3.27.02024-12-18🚀 v3.27.0 - Enhancements for PytorchLightning logger and S3ArtifactsStorage, fixes for RunStatusReporter, metric aggregations and tag creation from parallel runs
v3.26.12024-12-03🚀 v3.26.1 - Improved performance of metric queries, basic troubleshooting utilities
v3.25.12024-11-06🚀 v3.25.1 - Fixes in empty index.db handling and python 3.12 builds

model-catalog/latest2026-04-06Model Catalog
v2.11.52026-09-23MLflow 2.11.5
v3.16.12026-09-17MLflow 3.16.1
v3.16.02026-09-04MLflow 3.16.0
v3.15.22026-08-26MLflow 3.15.2 is a patch release that includes several major features and improvements.

tanpa tanda tangan Rilis terbaru, v3.29.1, tidak memiliki tanda tangan yang dapat diverifikasi GitHub.

Memuat laporan keamanan

✓ bertanda tangan Rilis terbaru, v3.16.1, memiliki tanda tangan yang diverifikasi GitHub.

Memuat laporan keamanan