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Karpor

github.com
Summary

Karpor is an open-source Kubernetes visualization tool designed for developers and platform engineering teams. It provides advanced search, insight, and AI capabilities to help users gain crucial visibility into their Kubernetes clusters across various cloud environments. Karpor aims to simplify the management of complex Kubernetes ecosystems through features like automatic resource syncing, compliance governance, resource topology views, and natural language operations with AI.

Feature Matches
6/15
See all

Must Have

2 of 5

Community-Driven Funding Platform

Open Contributor Network

Bleeding-Edge Project Incubator

Modular Project Portfolio

Rapid Prototype Development

Other

4 of 10

Cognitive Engine Scaffold (Cogent)

Vision and Mission Framework

Blueprint Repository

Communication and Outreach Channels

Universal Language Model (ULM)

Decentralized Personal AI Network (Entwood)

Orbital Waste Collection System (C.O.W.S)

Industrial Hemp Materials Lab (Hemp the World)

Pitch and Funding Calls

Strategic Roadmap Publishing

Pricing
Freemium
See all

Free

$0.00 monthly
  • Unlimited public/private repositories
  • Dependabot security and version updates
  • 2,000 CI/CD minutes/month (Free for public repositories)
  • 500MB of Packages storage (Free for public repositories)
  • Issues & Projects
  • Community support

Team

$4.00 per user
Popular
  • Everything included in Free
  • Access to GitHub Codespaces
  • Protected branches
  • Multiple reviewers in pull requests
  • Draft pull requests
  • Code owners
  • Required reviewers
  • Pages and Wikis
  • Environment deployment branches and secrets
  • 3,000 CI/CD minutes/month (Free for public repositories)
  • 2GB of Packages storage (Free for public repositories)
  • Web-based support

Enterprise

$21.00 per user
  • Everything included in Team
  • Data residency
  • Enterprise Managed Users
  • User provisioning through SCIM
  • Enterprise Account to centrally manage multiple organizations
  • Environment protection rules
  • Repository rules
  • Audit Log API
  • SOC1, SOC2, type 2 reports annually
  • FedRAMP Tailored Authority to Operate (ATO)
  • SAML single sign-on
  • Advanced auditing
  • GitHub Connect
  • 50,000 CI/CD minutes/month (Free for public repositories)
  • 50GB of Packages storage (Free for public repositories)
Rationale

Karpor is a Kubernetes visualization tool that incorporates AI features for natural language operations and contextual responses, aligning with the 'Cognitive Engine Scaffold' feature. It is an open-source project that encourages community contributions, matching 'Open Contributor Network'. While it doesn't have a dedicated funding platform like the concept, GitHub itself offers 'GitHub Sponsors' which allows financial support for open-source projects, thus partially fulfilling 'Community-Driven Funding Platform'. The project has clear documentation and a vision, aligning with 'Blueprint Repository' and 'Vision and Mission Framework'. It also provides various communication channels for community engagement, matching 'Communication and Outreach Channels'. However, it is not a 'Bleeding-Edge Project Incubator' or a 'Modular Project Portfolio' in the sense of incubating diverse, radical technologies, nor does it focus on 'Rapid Prototype Development' of hardware/software solutions beyond its core offering.

Karpor
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Best alternatives to [Product] in 2024?

Reddit·tech_enthusiast·2d ago·+142

I've been using Alternative A for 6 months now and it's been fantastic. The pricing is much better and the features are actually more robust than what [Product] offers.

Show HN: We built a better [Product]

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After struggling with [Product]'s limitations, we decided to build our own solution.

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[Product] vs Competitor B - which one should I choose?

Reddit·confused_buyer·Dec 11·+67

Honestly, after trying both, Competitor B wins hands down. Better customer support, cleaner interface, and they don't nickel and dime you for every feature.

Why we migrated away from [Product]

Hacker News·cto_mike·Dec 8·+234
The breaking point was when they changed their API without notice. We lost 3 days of productivity. Solution C has been rock solid for us since we switched.
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