<?xml version="1.0" encoding="UTF-8"?>
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    <title>declarative</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/1293/feed"/>
    <updated>2026-09-16T14:16:07+00:00</updated>
    <id>https://links.biapy.com/guest/tags/1293/feed</id>
            <entry>
            <id>https://links.biapy.com/links/13822</id>
            <title type="text"><![CDATA[Skeema]]></title>
            <link rel="alternate" href="https://www.skeema.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13822"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Safe schema management for MySQL and MariaDB.

Skeema is a declarative SQL-based schema management utility. Simply track your desired schema state in a repo of CREATE statements, and the tool figures out how to apply any changes to your tables and routines. You won&amp;#039;t need to code migrations ever again.

- [Skeema @ GitHub](https://github.com/skeema/skeema).]]>
            </summary>
            <updated>2026-09-07T13:09:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13154</id>
            <title type="text"><![CDATA[Kubernetes Cluster API]]></title>
            <link rel="alternate" href="https://cluster-api.sigs.k8s.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13154"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Cluster API is a Kubernetes sub-project focused on providing declarative APIs and tooling to simplify provisioning, upgrading, and operating multiple Kubernetes clusters.

- [Kubernetes Cluster API @ GitHub](https://github.com/kubernetes-sigs/cluster-api).

Related contents:

- [Introducing the Cluster API plugin for Headlamp @ Kubernetes Blog](https://kubernetes.io/blog/2026/06/25/headlamp-cluster-api-plugin/).]]>
            </summary>
            <updated>2026-06-29T10:53:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12806</id>
            <title type="text"><![CDATA[Skir]]></title>
            <link rel="alternate" href="https://skir.build/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12806"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Like Protobuf, without the pain.
The single source of truth for your data types.

Skir is a declarative language for defining data types, constants, and APIs. Write your schema once in a .skir file and generate idiomatic, type-safe code in TypeScript, Python, Java, Go, C++, and more.

- [Skir @ GitHub](https://github.com/gepheum/skir).]]>
            </summary>
            <updated>2026-05-21T15:32:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11741</id>
            <title type="text"><![CDATA[Concourse CI]]></title>
            <link rel="alternate" href="https://concourse-ci.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11741"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the continuous thing-doer.

Concourse is an automation system written in Go. It is most commonly used for CI/CD, and is built to scale to any kind of automation pipeline, from simple to complex.

Concourse is very opinionated about a few things: idempotency, immutability, declarative config, stateless workers, and reproducible builds.

- [Concourse @ GitHub](https://github.com/concourse/concourse).]]>
            </summary>
            <updated>2026-02-06T14:17:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11443</id>
            <title type="text"><![CDATA[DLT-META]]></title>
            <link rel="alternate" href="https://databrickslabs.github.io/dlt-meta/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11443"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Metadata driven Spark Declarative Pipelines framework for bronze/silver pipelines.

DLT-META is a metadata-driven framework designed to work with Lakeflow Declarative Pipelines. This framework enables the automation of bronze and silver data pipelines by leveraging metadata recorded in an onboarding JSON file. This file, known as the Dataflowspec, serves as the data flow specification, detailing the source and target metadata required for the pipelines.

- [DLT-META @ GitHub](https://github.com/databrickslabs/dlt-meta).

Related contents:

- [From Chaos to Scale: Templatizing Spark Declarative Pipelines with DLT-META @ databricks](https://www.databricks.com/blog/chaos-scale-templatizing-spark-declarative-pipelines-dlt-meta).]]>
            </summary>
            <updated>2026-01-12T13:24:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11154</id>
            <title type="text"><![CDATA[Meltano]]></title>
            <link rel="alternate" href="https://meltano.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11154"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Extract &amp;amp; Load with joy.

 Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations. 

- [Meltano @ GitHub](https://github.com/meltano/meltano).

Related contents:

- [Taming the Data Sources: A Scalable Extraction Strategy with Meltano @ Blueprintdata](https://blueprintdata.xyz/blog/modern-data-stack-meltano).]]>
            </summary>
            <updated>2025-12-02T16:15:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10970</id>
            <title type="text"><![CDATA[Jellarr]]></title>
            <link rel="alternate" href="https://github.com/venkyr77/jellarr" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10970"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Declarative configuration engine for Jellyfin — apply and sync server settings from YAML via the Jellyfin API. 

Jellarr is an open-source tool designed to simplify declarative configuration management for Jellyfin media servers. Inspired by Configarr&amp;#039;s approach to *arr stack automation, Jellarr uses Jellyfin&amp;#039;s official REST API to safely apply configuration changes through version-controlled YAML files.

Related contents:

- [Episode 684: You Ain&amp;#039;t Ready For This Jelly @ Linux Unplugged](https://linuxunplugged.com/684).]]>
            </summary>
            <updated>2026-09-14T05:25:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10471</id>
            <title type="text"><![CDATA[nix-flatpak]]></title>
            <link rel="alternate" href="https://github.com/gmodena/nix-flatpak" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10471"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Install flatpaks declaratively.

Declarative flatpak manager for NixOS inspired by declarative-flatpak and nix-darwin&amp;#039;s homebrew module. NixOs and home-manager modules are provided for system wide or user flatpaks installation.

Related contents:

- [Episode 634: Config Confessions @ Linux Unplugged](https://linuxunplugged.com/634).]]>
            </summary>
            <updated>2025-10-01T05:30:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1807</id>
            <title type="text"><![CDATA[Decman]]></title>
            <link rel="alternate" href="https://github.com/kiviktnm/decman" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1807"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Declarative package &amp;amp; configuration manager for Arch Linux.

Decman is a declarative package &amp;amp; configuration manager for Arch Linux. It allows you to manage installed packages, your dotfiles, enabled systemd units, and run commands automatically. Your system is configured using python so your configuration can be very adaptive.

Related contents:

- [Episode 599: Psycho Shower Linux Power @ Linux Unplugged](https://linuxunplugged.com/599).]]>
            </summary>
            <updated>2025-08-28T20:57:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1808</id>
            <title type="text"><![CDATA[metapac]]></title>
            <link rel="alternate" href="https://github.com/ripytide/metapac" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1808"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[multi-backend declarative package manager

metapac allows you maintain consistent packages among multiple machines and make setting up a new system with your preferred packages from your preferred package managers much easier.

Related contents:

- [Episode 599: Psycho Shower Linux Power @ Linux Unplugged](https://linuxunplugged.com/599).]]>
            </summary>
            <updated>2025-08-28T20:57:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3822</id>
            <title type="text"><![CDATA[Kestra]]></title>
            <link rel="alternate" href="https://kestra.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3822"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Declarative Data Orchestration.  Event-Driven Declarative Orchestrator.

Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code. 

Kestra is a universal open-source orchestrator that makes both scheduled and event-driven workflows easy. By bringing Infrastructure as Code best practices to data, process, and microservice orchestration, you can build reliable workflows and manage them with confidence.

- [Kestra @ GitHub](https://github.com/kestra-io/kestra).

Related contents:

- [Flaky Tests: a journey to beat them all @ foojay.io](https://foojay.io/today/flaky-tests-a-journey-to-beat-them-all/).
- [\#363.src - Kestra: Comment orchestrer sans usiner à gaz ? avec Loïc Mathieu @ ifttd](https://www.ifttd.io/episodes/kestra).]]>
            </summary>
            <updated>2026-08-07T05:39:12+00:00</updated>
        </entry>
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