An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

ai code datasets devops devops-tools gguf hacktoberfest kubernetes kubernetes-deployment ml mlops mlops-tools model-interpretability model-serving models opensource platform-engineering pytorch sklearn tensorflow
14 Open Issues Need Help Last updated: Jul 20, 2026

Open Issues Need Help

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Sign the Vibes about 2 months ago
enhancement good first issue hacktoberfest

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow
documentation good first issue hacktoberfest

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow
enhancement good first issue

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow
enhancement good first issue

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow
enhancement good first issue hacktoberfest

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow
bug good first issue hacktoberfest pykitops

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

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#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow
enhancement good first issue hacktoberfest

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow
enhancement good first issue

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow
good first issue ux CLI

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

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#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow
Add Flux CICD support about 1 year ago
documentation good first issue

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow

AI Summary: This GitHub issue proposes adding a simple install script for the Kit CLI, accessible via a `curl | bash` command. The goal is to simplify installation, particularly for Linux environments and Docker containers, where current methods like Homebrew or manual tarball downloads are less convenient.

Complexity: 3/5
enhancement good first issue

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go
#ai#code#datasets#devops#devops-tools#gguf#hacktoberfest#kubernetes#kubernetes-deployment#ml#mlops#mlops-tools#model-interpretability#model-serving#models#opensource#platform-engineering#pytorch#sklearn#tensorflow