dragonflyoss/helm-charts

Dragonfly Helm Charts

Hosted by Cloud Native Computing Foundation · part of Linux Foundation

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dragonflyoss/helm-charts has 40+ stars and 70+ forks on GitHub, is written in Mustache, and was last pushed on Oct 15, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 7 minutes ago
Added to GitGenius on October 15th, 2026
Created on August 5th, 2021
Open Issues & Pull Requests: 10 (+0)
GitHub issues: Enabled
Number of forks: 79
Total Stargazers: 46 (+0)
Total Subscribers: 19 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 9.8 days
Mean response time: 77.0 days
90th percentile: 253.3 days
Tracked items: 32

Maintainer activity

6 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

Charts & Analytics

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Issue Activity (beta)

Open issues: 6
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 202 days
Stale 30+ days: 3
Stale 90+ days: 2

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 2

Top labels

  • bug (20)
  • enhancement (11)
  • help wanted (8)
  • good first issue (7)
  • on-hold (7)
  • stale (6)

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Detailed Description

Dragonfly Helm Charts is a collection of Helm charts for deploying Dragonfly, a cloud-native P2P-based data distribution and acceleration system on Kubernetes.

Dragonfly addresses the challenge of efficiently distributing large files, container images, OCI artifacts, and machine learning models across cloud-native environments. It uses peer-to-peer technology to accelerate data delivery while maintaining security and stability. The project includes optional integration with Nydus, a content-addressable filesystem that further accelerates OCI container image launches. The Helm charts provide a standards-based, best-practice approach to deploying these components on Kubernetes clusters.

Teams should adopt these charts if they operate large-scale Kubernetes deployments where efficient distribution of container images, artifacts, or large files is a bottleneck. The charts are suitable for organizations managing multiple clusters or high-volume container image pulls, as well as those working with AI/ML models or other large binary artifacts. The repository provides three main chart options: a complete Dragonfly stack, Dragonfly alone, and Nydus snapshotter integration, allowing teams to choose the deployment model that fits their infrastructure needs.

The project maintains active community engagement through multiple channels including a dedicated Slack community, GitHub discussions, and developer mailing lists. Development activity shows consistent attention to documentation, with separate installation guides provided for each major component and integration scenario.