Awesome List Updates on May 24, 2025

4 awesome lists updated today.

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1. Awesome Geek Podcasts

In English

• pragmatism In Practice - Pragmatism In Practice is a podcast series for business and technology leaders.

2. Awesome Angular

Blogs / Google Developer Experts

• Angular Tips - Best practices and recommendations for building complex, large and maintainable applications with Angular.

3. Awesome Elixir

Artificial Intelligence

• AshAI (⭐102) - AI and LLM toolkit for Ash applications. MCP server, MCP dev tools, vector embeddings, chat interfaces, and more.

HTTP

• req (⭐1.2k) - A batteries-included HTTP client for Elixir.

4. Awesome Agi Cocosci

Domain Specific Language / Design Practises

• Constraint Representation Towards Precise Data-Driven Storytelling - VIS-Gen4DS'24, 2024. [All Versions]. [Preprint]. A position paper on DSL for data-driven storytelling. Data-driven storytelling serves as a crucial bridge for communicating ideas in a persuasive way. However, the manual creation of data stories is a multifaceted, labor-intensive, and case-specific effort, limiting their broader application. As a result, automating the creation of data stories has emerged as a significant research thrust. Despite advances in Artificial Intelligence, the systematic generation of data stories remains challenging due to their hybrid nature: they must frame a perspective based on a seed idea in a top-down manner, similar to traditional storytelling, while coherently grounding insights of given evidence in a bottom-up fashion, akin to data analysis. These dual requirements necessitate precise constraints on the permissible space of a data story. This viewpoint proposes integrating constraints into the data story generation process. Defined upon the hierarchies of interpretation and articulation, constraints shape both narrations and illustrations to align with seed ideas and contextualized evidence. The authors identify the taxonomy and required functionalities of these constraints. Although constraints can be heterogeneous and latent, this position paper explores the potential to represent them in a computation-friendly fashion via Domain-Specific Languages. The authors believe that leveraging constraints will facilitate both artistic and scientific aspects of data story generation.

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