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Bijux Atlas

Bijux Atlas publishes and operates delivery-facing interfaces for datasets, APIs, service contracts, and documentation.

bijux-atlas is the delivery and operational surface for services, datasets, APIs, and docs control-plane behavior. It keeps queryable delivery, immutable artifacts, service contracts, and publication surfaces as first-class engineering boundaries.

Shared standards note: Atlas consumes shared docs shell behavior and cross-repository checks from bijux-std; Atlas owns its local service/data contracts and delivery operations. Atlas also consumes the shared runtime and governance backbone from bijux-core while owning its own delivery contracts.

Concrete Atlas surfaces include:

  • CLI
  • API
  • OpenAPI export
  • docs
  • release artifacts
  • control plane
View Published Docs View GitHub Repository

Repository Shape

bijux-atlas presents data-service work as an operated product surface rather than a loose data tool. The repository publishes a CLI, server, OpenAPI export surface, and operating control plane around genomics dataset delivery and immutable query artifacts.

Inherited vs local ownership: navigation shell and baseline docs/check standards come from bijux-std, while Atlas owns API behavior, dataset publication contracts, and service operations.

System Map

graph LR
    contracts["contracts and OpenAPI"] --> api["API surface"]
    api --> artifacts["artifacts and datasets"]
    artifacts --> publish["published Atlas surface"]

What Atlas Owns

  • delivery contracts for APIs, datasets, and query behavior
  • publication and release surfaces for immutable artifacts
  • control-plane operations that keep docs, contracts, and service behavior aligned

What You Can Verify Quickly

Surface Why it matters
API and OpenAPI surfaces shows that delivery contracts are documented
release artifacts and dataset posture shows that publication is treated as an owned surface
docs-aware operational routes shows that operations and documentation move together instead of drifting apart

What Lives Here

  • API and dataset delivery treated as first-class product interfaces
  • immutable artifact thinking instead of ad hoc mutable dataset handling
  • docs-aware validation, operational reporting, and control-plane behavior as part of delivery
  • runtime surfaces that stay separate: CLI, server, OpenAPI export, and operating tooling

Where To Begin

If you are looking for... Start with this part of Atlas
service architecture the split between CLI, server, OpenAPI export, and operating control plane
data delivery posture immutable dataset and artifact language in the docs and README
operational seriousness ops, configs, reporting, and documentation validation behavior
published entry points the handbook structure and published docs site that route into concrete service surfaces

How Atlas Differs From Core And Canon

  • Atlas owns public delivery interfaces and operated publication surfaces.
  • Core owns runtime authority and execution governance that Atlas builds on.
  • Canon owns knowledge-system orchestration and reasoning boundaries.

Atlas is where users and integrators consume stable delivery contracts. Core and Canon are where runtime and knowledge internals are structured.

Why This Matters Operationally

  • stable queries: service consumers can rely on documented query and API behavior across releases
  • traceable releases: dataset and artifact publication history stays visible instead of implied
  • service behavior in public: docs, contracts, and operations show how delivery works in practice
  • lower integration risk: maintenance workflows stay documented so downstream systems can plan confidently

When This Page Is Most Useful

  • the question is about API delivery, dataset publishing, or service behavior
  • you are tracing docs UX checks, ops validation, or operational evidence
  • you want a concrete public route into data-service engineering

In The Larger Picture

Atlas keeps delivery work in the open as something that is published, validated, and operated rather than described abstractly.

Bijux Atlas should be read as a delivery-facing system where contracts, artifacts, and public access must align cleanly over time. Within the broader family, it shows that publication and data delivery are architectural concerns, requiring the same boundary discipline and operational rigor as any core runtime surface.