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raml-spec
Learning & Reference2015–2025
raml-org / raml-spec · Archived

raml-spec

RAML Specification

4Distinct people
7Mentions
0Explicit recommenders
3.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

RAML Specification

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 9:01:12 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year7 dated mentions

Observed mentions: 2015-10-01 06:24:54 UTC to 2025-10-15 03:28:12 UTC.

01232015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC110
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC101
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC303

What Hacker News says

2 sources
Taking this concept further one could model in RAML [0] to define both the types (flat or nested) and api definitions. It's based on YAML 1.2 with enough maturity to provide capabilities such as union types, extensions, includes, user-defined facets, etc. The AMF project [1] can be used to parse and transform to/from RAML, OpenAPI, GraphQL, and json schema. Code generation to languages of choice can be bolted on from there. I'm using this approach to define canonical data models. Subsequent code generation scaffolds internal application integration apis, master data management (MDM) entities, and SQL/OLAP artifacts for ETL / BI purposes. This approach keeps overall end-to-end data architecture consistent, in sync, and versioned under source control. Additionally, flat types as required by relational systems are re-used and composed into n
Read the rest
ested complex types more appropriate for apis. Metadata is layered on as needed to refine the models for system-specific needs, for example to add user-facing field groups, descriptions, and formats for BI datasets, sensitivity levels and other data security controls, business rule definitions for MDM, etc. [0] https://github.com/raml-org/raml-spec/blob/master/versions/r... [1] https://a.ml/docs/
In Sharing data types on a multi-language project
> Do you use JSON Schema? At one point I did, but then discovered RAML[0] and it subsumed the value of what JSON Schema provides as well as being easier to work with than OpenAPI[1]. Also, generating JSON Schema from RAML definitions has proven to be a fairly straightforward process. The usual caveats apply... Your mileage may vary, my experiences do not speak for any others, my opinion does not detract from the value of JSON Schema, etc. 0 - https://github.com/raml-org/raml-spec/blob/master/versions/r... 1 - https://swagger.io/specification/
In Ask HN: Do you use JSON Schema? Help us shape its future stability guarantees

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