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Map / Engineering / MLOps & Training / Weights & Biases / Alternatives

Weights & Biases alternatives

24 other MLOps & Training on the map, the closest first.

Closest: Experiment Tracking & CI/CD

CML

Continuous machine learning CI/CD tool

Curated

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Comet ML

ML experiment management platform

Curated

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DVC

Data version control for ML projects

Curated

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GitHub Actions

Automate ML workflows with GitHub's CI/CD platform

CuratedWeb

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GitLab CI

Integrated CI/CD for ML pipelines in GitLab

Curated

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MLflow

Open source platform for ML lifecycle

CuratedLinuxMacWindows

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More in MLOps & Training

Hugging Face Transformers

State-of-the-art ML for PyTorch, TF, and JAX

CuratedLinuxMacWindows

1 use thisCompare with Weights & Biases
Axolotl

Fine-tuning framework for LLMs with LoRA, QLoRA, and multi-GPU support

CuratedLinuxMac

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Tinker

Managed API for fine-tuning and RL on open-weight models

CuratedWeb

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TRL

Library for training transformer LMs with SFT, RLHF, and reward modeling

CuratedLinuxMacWindows

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Unsloth

Faster, lower-memory LLM fine-tuning library

CuratedLinuxMacWindows

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Apache Airflow

Workflow automation and scheduling platform

CuratedLinuxMac

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Dagster

Data orchestration platform for assets and pipelines, part of Prefect

Curated

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Kubeflow

Kubernetes-native ML pipeline orchestration

Curated

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Metaflow

Python framework for building and managing ML and AI systems

Curated

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Prefect

Modern workflow orchestration

Curated

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ZenML

MLOps framework for reproducible pipelines

Curated

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Feast

Open source feature store for ML

Curated

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Hopsworks

Feature store and MLOps platform

Curated

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Hugging Face Hub

Community model repository and registry

Curated

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Tecton

Enterprise feature platform for ML, now part of Databricks

Curated

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Vertex Feature Store

Google Cloud's managed feature store for ML

Curated

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Accord.NET

.NET machine learning framework (archived)

Curated

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Alink

Algorithm platform based on Flink by Alibaba

Curated

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Questions

What are the closest alternatives to Weights & Biases?

CML, Comet ML and DVC sit on the same sub-line as Weights & Biases (Experiment Tracking & CI/CD) on AI Landscape, with 3 more.

How are these alternatives chosen?

They are the other products on the MLOps & Training stop of the map: curated products first, the ones on Weights & Biases's sub-line before the rest, then by name until members have marked enough of them.