Cue, an open-source data validation language

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  • vector

    A high-performance observability data pipeline.

  • cue

    CUE has moved to (by cuelang)

  • SonarQube

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  • mgmt

    Next generation distributed, event-driven, parallel config management!

    cough how can you leave out =D


    Learn you some CUE for a great good! is probably more hands-on than the homepage which is slightly more theoretical. For validating sequences see .

  • aontu


    Started working on a JS version a few weeks ago [1]. Even with 20% of the features it’s already so useful we’re building systems with it. And not just config - model all the things!

    Overrides and inheritance are a world of pain. Unification and commutative operations restore sanity to the actual work of coding with a domain representation language because WYSIWYG. And you get type safety for your domain model.

    The project is still at the “Read the Source, Luke” stage so caveat emptor until we get a respectable release out.


  • quicktype

    Generate types and converters from JSON, Schema, and GraphQL

    Is there any plans to support model generation in future as can be done with JSON schema through something like ?

  • baleen

    Kotlin DSL for validating data (JSON, XML, CSV, Avro)

    If you are looking to do data validation from the JVM, you may try Baleen (written in Kotlin):

    I'm one of the contributors. We created a DSL in the language to describe the data and create tests. You can then use that data description to validate against json, csv, avro... One of the neat things we came up with was the concept of a data trace which is like a stack trace but is a path through the data to a particular error.

  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • polly

    Parameterized Observability Packages (by pollypkg)

    re: Grafana (i'm the author of the linked issue) - i'm quite excited, i do think there's a world of possibilities here.

    Two-way sync with a git repo is one possible path, and we've talked a lot internally at GL about how to best support it. My sense is that we can do it with relatively little friction and likely will - but if you're just syncing with a git repo, there's still a lot of arbitrary, opaque repo layout decisions that still have to be made (how do you map a filesystem position for a dashboard to a position in Grafana? In a way that places the dashboards next to the systems they're intended to observe? With many teams? With many Grafana instances?) which induce new kinds of friction at scale.

    Fortunately - and not mutually exclusively with the above - by building the system for schema in CUE, we've made a composable thing that we can make into larger systems. That's what we're starting to do with Polly:

    Conveniently, my parts of a Grafanaconline talk tomorrow discusses both of these :D

  • cuetsy

    Experimental CUE->TypeScript exporter

    Very excited to see someone doing this! Right now, Grafana is [planned to] relying on an anemic CUE->Typescript translator for getting its schema to the frontend - (Somebody also pointed me to Project Cambria recently, which could be an interesting compilation target for what we have

    Being able to work with CUE natively in TS, though, would be a huge gamechanger for what we can do with CUE in Grafana

  • lowdefy

    An open-source, self-hosted, low-code framework to build internal tools, web apps, admin panels, BI dashboards, workflows, and CRUD apps with YAML or JSON.

    We've been building dashboards in YAML for a while now using Lowdefy -

    It is very flexible. Will publish more examples soon!

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