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Kubeflow Alternatives
Similar projects and alternatives to kubeflow
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CodeRabbit
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terraform
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
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Grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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docker
FreeBSD port of docker, take a look at PORTING-FREEBSD.md in freebsd-compat branch (by kvasdopil)
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Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better kubeflow alternative or higher similarity.
kubeflow discussion
kubeflow reviews and mentions
Posts with mentions or reviews of kubeflow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-02-06.
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10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows
Kubeflow is a Kubernetes-native, open source platform that simplifies ML workflow management on Kubernetes. It handles the complexities of containerization and supports end-to-end pipeline automation and distributed training on large datasets, making it ideal for production-grade ML systems.
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Python in DevOps: Automation, Efficiency, and Scalability
MLOps elevates DevOps principles to AI workloads. The new frontiers of DevOps are managing large model training jobs, handling GPUs, and automating ML pipelines. Python tools like MLflow and Kubeflow make this possible.
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What Is Kubernetes? A Beginner's Guide to Container Orchestration
Kubeflow runs on K8s: https://www.kubeflow.org/
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AIOps, DevOps, MLOps, LLMOps – What’s the Difference?
Model management: MLflow, Kubeflow are used for managing the deployment and lifecycle of models.
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Top 10 MLOps Tools for 2025
5. Kubeflow Pipelines
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10 MLOps Tools That Comply With the EU AI Act
Kubeflow is an open source platform designed for the seamless deployment, scaling, and monitoring of machine learning workflows. It offers end-to-end pipelines that ensure observability throughout the entire machine-learning process. This includes facilitating human oversight and enabling data science teams to perform quality checks at each stage of training and deployment.
- Ask HN: Are you making money from LLMs? How?
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Is it possible to store the username in a config file inside the jupyter notebook spawned by kubeflow?
I'm not 100% sure this will work but sounds like PodDefault is what you need.
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Machine Learning Orchestration on Kubernetes using Kubeflow
If you are looking for bringing agility, improved management with enterprise-grade features such as RBAC, multi-tenancy and isolation, security, auditability, collaboration for the machine learning operations in your organization, Kubeflow is an excellent option. It is stable, mature and curated with best-in-class tools and framework which can be deployed in any Kubernetes distribution. See Kubeflow roadmap here to look into what's coming in the next version.
- Jupyter notebooks in kubeflow
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A note from our sponsor - CodeRabbit
coderabbit.ai | 16 Mar 2025
Stats
Basic kubeflow repo stats
10
14,729
7.7
24 days ago
kubeflow/kubeflow is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of kubeflow is TypeScript.
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