referencing
JSON Referencing + Python
This package has a good security score with no known vulnerabilities.
Community Reviews
Solid JSON reference resolution with minimal overhead, but requires setup
Performance-wise, it's fast enough for most workloads. We process hundreds of schema validations per second without bottlenecks. The library is stateless by design, which makes connection pooling a non-issue, but you need to manage registry lifecycle yourself - there's no built-in caching or resource cleanup hooks. Error messages when references fail are decent but could be more actionable in complex nested scenarios.
Observability is the weak spot. There are no logging hooks or instrumentation points, so tracking resolution paths or debugging circular references requires external tooling. Timeout handling is absent since operations are synchronous and typically fast. It's stable across versions with minimal breaking changes, which is appreciated in production environments.
Best for: Applications requiring efficient JSON Schema reference resolution with control over caching and resource management.
Avoid if: You need comprehensive observability, automatic resource management, or expect the library to handle validation alongside resolution.
Powerful but niche JSON reference resolver with steep learning curve
The documentation exists but assumes familiarity with JSON Schema concepts and reference resolution. There's minimal hand-holding for common use cases—you'll spend time reading through the Registry and Resource APIs to understand how to wire things together. Error messages are technically accurate but terse, often requiring you to trace through your schema structure to understand what went wrong. Stack Overflow coverage is sparse since most developers interact with higher-level wrappers.
Debugging reference resolution issues requires understanding the package's internal resource model. When things work, they work well, but troubleshooting mismatched specifications or circular references takes patience. If you're just validating JSON schemas, stick with `jsonschema` directly.
Best for: Developers building JSON Schema validation tools or needing fine-grained control over reference resolution across multiple schema specifications.
Avoid if: You just need to validate JSON against schemas—use jsonschema or similar high-level libraries instead.
Powerful JSON reference handling but steep learning curve for newcomers
Documentation exists but assumes significant prior knowledge of JSON Reference specifications. There aren't many standalone tutorials or cookbook examples showing common patterns like "how do I resolve references in my OpenAPI spec" or "how do I add custom schemas to a registry." Most learning happens by reading `jsonschema` source code or GitHub issues, which is frustrating for onboarding.
Error messages are technically accurate but cryptic if you don't know the spec terminology. When debugging reference resolution failures, you're often left adding print statements to understand what the registry contains. For its intended use case (being a foundation library for other tools), it works, but direct usage requires patience and specification knowledge most developers lack.
Best for: Building tools that need robust JSON reference resolution or extending jsonschema with custom reference handling.
Avoid if: You need simple schema validation without custom references - stick with jsonschema's higher-level API instead.
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