I made a OSS alternative to Weights and Biases
Hey HN! I made a completely open sourced alternative to Weights and Biases with (insert cringe) blazingly fast performance (yes we use rust and clickhouse) Weights and Biases is super unperformant, their logger blocks user code... logging should not be blocking, yet they got away with it. We do the right thing by being non blocking. Would love any thoughts / feedbacks / roasts etc
I made a OSS alternative to Weights and Biases launched on May 25, 2025 with 6 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Next Generation Experimental Tracking for Machine Learning Operations - mlop-ai/mlop
mlop is a Machine Learning Operations (MLOps) framework. It provides self-hostable superior experimental tracking capabilities and lifecycle management for training ML models . To get started, try out our introductory notebook or get an account with us today ! mlop adopts a KISS philosophy that allows it to outperform all other tools in this category. Supporting high and stable data throughput should be THE top priority for efficient MLOps. mlop logger (bottom left) v. a conventional logger (bottom right) % pip install - Uq "mlop[full]" import mlop mlop . init ( project = "hello-world" ) mlop . log ({ "e" : 2.718 }) mlop . finish () Self-host your very own mlop instance & get started in…from github.com
Does a similar job
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Source: Show HN post ↗
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