Cdnjs vs Gcore

What Cdnjs is

cdnjs is a free, community-run CDN for open-source web-library assets, delivered through Cloudflare. Consumers select a library, exact version and file, then reference its public URL; the service also exposes library metadata through an API. Example markup published by Cloudflare uses a versioned URL and Subresource Integrity attributes. cdnjs' code repository is MIT-licensed, but each distributed library keeps its own license. It is a dependency-delivery service rather than private storage, a package-security review or a contractual availability guarantee.

What Gcore is

Gcore is a proprietary edge and cloud provider with virtual machines, bare metal, managed Kubernetes, containers, functions, storage and networking across a region-dependent footprint. Its current VM page advertises Standard dedicated-vCPU instances from €8.93 per month, free egress and compute billing only while instances are active; prices exclude VAT and vary by location and configuration. The wider cloud calculator shows separate pricing for storage, addresses, load balancers and other services. Pay-as-you-go capacity is available rather than guaranteed, and retained resources must be checked individually when compute stops or is deleted.

What Cdnjs is built to do

Library catalog

Indexes versioned files from supported open-source JavaScript and CSS libraries.

Cloudflare delivery

Serves cached public assets through Cloudflare's network.

API access

Exposes library, version and file metadata for discovery and tooling.

Integrity-ready snippets

Provides examples and hashes that can be used with browser SRI and crossorigin attributes.

What Gcore is built to do

Virtual infrastructure

Offers shared or dedicated-vCPU virtual machines, GPU options and bare metal in selected regions.

Container services

Provides managed Kubernetes and managed container execution with separately billed worker resources and options.

Storage and networking

Combines block, file and object storage with IP, load-balancing and edge-network services.

API automation

Exposes project- and region-scoped infrastructure actions through authenticated APIs.

Choose Cdnjs if

• Static sites loading a well-known public library at an exact reviewed version
• Documentation and prototypes where a third-party CDN is permitted
• Teams that enforce CSP, verify SRI hashes and retain a self-hosted fallback for critical assets

Skip Cdnjs if

• Assets are private, proprietary or outside the cdnjs library catalog
• Policy forbids third-party asset requests or requires a contractual SLA
• The team cannot review the package license and code or pin an immutable version

Choose Gcore if

• Latency-sensitive workloads after testing the exact target Gcore region
• VM or Kubernetes deployments that benefit from eligible included egress
• Teams managing infrastructure through APIs and explicit lifecycle automation

Skip Gcore if

• The budget assumes the advertised starting VM price includes every disk, IP, license and service
• The architecture requires guaranteed on-demand capacity without a suitable committed agreement
• A product-specific SLA or compliance badge is being treated as platform-wide coverage

Cdnjs: pros & cons

• No-cost public delivery: Supported open-source library assets are served globally through Cloudflare.
• Versioned paths: URLs can identify an exact library release and file for reproducible front-end loading.
• Integrity metadata: Published examples support browser Subresource Integrity checks when the correct hash is used.
• Open project and API: Public repositories and metadata endpoints make the catalog inspectable and automatable.
• Catalog scope is narrow: It is not private asset storage or a general-purpose origin/CDN product.
• Package trust remains external: CDN availability does not prove that a library release or transitive code is safe.
• Third-party dependency: Page delivery, privacy posture and CSP must account for requests to an external domain.
• Licenses vary: The cdnjs repository license does not replace the license of each hosted library.

Gcore: pros & cons

• Distributed footprint: Cloud regions and edge-network services can place workloads near geographically diverse users.
• Flexible infrastructure: Virtual machines, bare metal, Kubernetes, containers, functions and storage share one platform.
• Automation support: The control panel, documented API and Terraform-oriented workflows enable repeatable provisioning.
• Active-compute billing: Current VM positioning waives VM compute while stopped and includes egress for eligible VM offers.
• Headline price is conditional: VM family, region, storage, operating system, IPs and VAT change the total.
• Stopped compute is not the whole bill: Persistent storage, snapshots, addresses and adjacent services can remain chargeable.
• Capacity and terms vary: Pay-as-you-go capacity is provided as available, while spot and committed orders have different rules.
• Service-level claims are product-specific: A Kubernetes or Functions SLA must not be assumed to cover every cloud component.