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10 GitHub repositories that went viral last week: From AI development and browser-based coding to analytics, databases, video editing, and image compression. Here’s what each project does ↓

1. ESP32-BlueJammer An ESP32 and nRF24-based wireless security research project for experimenting with interference across 2.4 GHz communications. Use only for lawful testing in controlled environments. github.com/EmenstaNougat/
2. DSPy A framework from Stanford NLP for programming and optimizing AI systems instead of manually refining prompts. Useful for building modular RAG pipelines, agents, classifiers, and other LLM applications. github.com/stanfordnlp/ds
3. Auto-Editor A command-line video and audio editor that can automatically detect and remove silent or uninteresting sections from recordings. github.com/WyattBlue/auto
4. OpenPanel An open-source web and product analytics platform combining event-based product analytics with privacy-friendly website analytics. An alternative to tools such as Mixpanel. github.com/Openpanel-dev/
5. Markdoc A flexible, Markdown-based authoring framework created to power complex documentation experiences, including Stripe’s public documentation. github.com/markdoc/markdoc
6. Awesome Quant A curated collection of libraries, packages, datasets, tools, and other resources for quantitative finance. github.com/wilsonfreitas/
7. Apache Cloudberry An open-source, massively parallel processing database designed for analytics and data warehousing. It is being developed as an Apache Incubator project. github.com/apache/cloudbe
8. code-server Run VS Code on a remote machine and access the complete development environment through your browser from almost any device. github.com/coder/code-ser
9. Open SaaS A free and open-source SaaS starter built with React, Node.js, Prisma, and Wasp. It includes authentication, payments, background jobs, file uploads, and other common SaaS features. github.com/wasp-lang/open
10. Pic Smaller A browser-based batch image compressor supporting JPEG, PNG, WebP, GIF, SVG, AVIF, and HEIC inputs. Processing happens locally, so images are not uploaded to an application server. github.com/joye61/pic-sma
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