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cube-studio

cube studio open source cloud-native one-stop machine learning/deep learning/large model AI platform, mlops algorithm link full process, computing power rental platform, notebook online development, drag-and-drop task flow pipeline orchestration, multi-machine multi-card distributed training, super parameter search, inference service VGP U virtualization, edge computing, automatic annotation of annotation platform, deepseek and other large model sft fine-tuning/reward model/reinforcement learning training, vllm/ollama/mindie large model multi-machine inference, private knowledge base, AI model market, support domestic cpu/gpu/npu Shengteng Ecosystem supports RDMA, supports pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano and other distributed systems

k9s

🐶 Kubernetes CLI To Manage Your Clusters In Style!

Popularity
Repository stars5,08834,912Highest
7-day net stars——
Fork8782,340Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-092026-11-02
Maintenance notesNot verifiedNot verified
Repository created2021-08-172019-01-25
License & use
LicenseLicense not declaredApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeKubernetes operationsKubernetes operations
TypeApps & systemsApps & systems
SubcategoryOperationsOperations
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
Language—Go
About this projectcube studio open source cloud-native one-stop machine learning/deep learning/large model AI platform, mlops algorithm link full process, computing power rental platform, notebook online development, drag-and-drop task flow pipeline orchestration, multi-machine multi-card distributed training, super parameter search, inference service VGP U virtualization, edge computing, automatic annotation of annotation platform, deepseek and other large model sft fine-tuning/reward model/reinforcement learning training, vllm/ollama/mindie large model multi-machine inference, private knowledge base, AI model market, support domestic cpu/gpu/npu Shengteng Ecosystem supports RDMA, supports pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano and other distributed systems🐶 Kubernetes CLI To Manage Your Clusters In Style!
Measured at2026-11-02 19:02 UTC2026-11-02 19:00 UTC

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