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Trending on GitHub

Sunday, July 12, 2026 · 4 stories, curated & summarized — click any story for the source.

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GitHub Trending (daily) githubrepos ⚠ unverified date/source

Next.js trending with Rust-accelerated tooling for full-stack React

Next.js remains a top-trending GitHub repository, offering a React framework that enables full-stack web application development. The project integrates powerful Rust-based JavaScript tooling to deliver fast builds and extends the latest React features. It is widely adopted by major companies and supported by extensive documentation and community channels.

  • Leverages Rust-based tooling to significantly speed up build times.
  • Supports full-stack development by extending modern React capabilities.
  • Widely adopted by large enterprises for production-grade apps.
  • Strong ecosystem with official docs, Discord, and GitHub discussions.
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GitHub Trending (daily) githubrepos ⚠ unverified date/source

Anthropic releases Claude cookbooks with copy-paste Python recipes

Anthropic has published a GitHub repository of notebooks and recipes demonstrating practical applications of the Claude API. The collection provides ready-to-use code snippets designed to help developers integrate model capabilities into their own projects. While the examples are primarily in Python, the underlying concepts are applicable to any language that supports API interaction.

  • Provides copy-paste Python snippets for immediate integration into projects.
  • Covers fun and effective use cases to accelerate development workflows.
  • Requires a valid Claude API key to run the provided notebooks.
  • Concepts are language-agnostic despite Python-focused implementation.
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PostgreSQL News database ↺ since 07-10

pglayers offers stackable Docker layers for 53 PostgreSQL extensions

The pglayers project publishes 53 PostgreSQL extensions as minimal Docker images built from scratch. Users compose these onto the official postgres image using COPY --from directives, avoiding compilation or build tools in the final container. Each layer contains only the necessary shared libraries, control files, and SQL scripts, allowing extensions to be enabled via standard CREATE EXTENSION commands.

  • Eliminates apt-get and compilation steps by using pre-built minimal Docker layers
  • Supports 53 extensions including pgvector, PostGIS, and pg_cron
  • Composable via COPY --from in Dockerfiles for precise image control
  • Final images contain only runtime artifacts, reducing attack surface and size
  • Simplifies multi-extension setups without managing system dependencies
BY THE NUMBERS53 Extensions in Minimal Docker Layers53%PostgreSQL extensions available via pglayersStackable layers eliminate build tools
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PostgreSQL News database ↺ since 07-08

PDU: Open-source PostgreSQL offline data unloader for WAL and table recovery

PDU is a new open-source tool designed to recover data from offline PostgreSQL instances by reading data files and WAL archives directly without modifying the original directory. It reconstructs metadata to enable the export of individual tables, schemas, or full databases into CSV format. Additionally, it supports targeted row recovery from WAL logs to address accidental DELETE or UPDATE operations.

  • Operates on offline data files without altering the original PostgreSQL directory structure.
  • Exports recovered data to CSV for easy inspection or loading into a fresh instance.
  • Enables targeted recovery of specific rows from WAL archives after accidental mutations.
  • Provides a CLI interface for full-database, schema, or single-table exports.
CHECKLISTPDU Recovery WorkflowMount offline data files without altering structureReconstruct metadata for table or schema accessExport recovered data to CSV formatTarget specific rows from WAL archives
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