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pathling

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data/pathling

Tools that make it easier to use FHIR and clinical terminology within data analytics, built on Apache Spark.

Machine-generated from the listed sources and not yet reviewed by a human.

pathling project image
GitHub preview card for aehrc/pathling. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
aehrc
Country
unknown
Documentation
unknown
Tags
analytics · fhir · spark · standards · terminology
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • fhir-terminology-servicefhir · terminology

    Implementation of FHIR Terminology Service specification (https://www.hl7.org/fhir/R4/terminology-service.html) to expose arbitrary persistent classes as FHIR value sets and code systems. Runs on…

  • FhirTerminologyClientfhir · terminology

    Client library for the FHIR Terminology API

  • hadesfhir · terminology

    A FHIR terminology server.

  • sparkanalytics · spark

    .NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

  • fhiryanalytics · fhir

    FHIR to pandas dataframe for data analytics, AI and ML!

  • hfsanalytics · fhir

    The Helios FHIR Server is an implementation of the HL7® FHIR® standard, built in Rust for high performance and optimized for clinical analytics workloads.

sources
  1. api.github.com/repos/aehrc/pathling
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 133 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/34.json→ .entries["pathling"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.