#cplusplus #astronomy #data_visualization #planetarium #science #space #universe #visualization

OpenSpace is free, open-source software that lets you interactively explore the entire known universe on Windows or Linux computers, from planets and stars to galaxies, using real NASA data, simulations, and space missions like New Horizons. It works on screens, planetariums, or domes, supports custom content via Lua/Python, and enables global sharing. You benefit by easily visualizing cosmic data for fun, education, science projects, or stunning presentations without high costs.

https://github.com/OpenSpace/OpenSpace

#shell

Skills Public offers 16 reusable tools for Apple devs, like creating App Store notes from git, debugging iOS apps, fixing SwiftUI/React performance, running bug hunts, code reviews, and refactoring. Place skill folders in `$CODEX_HOME/skills` and check each `SKILL.md` for use. This saves you time on repeat tasks, boosts code quality, speeds debugging, and helps build better apps faster.

https://github.com/Dimillian/Skills

#go #distribution_spec #helm #kubernetes #oci #oci_distribution #opencontainers #zot

Zot is a lightweight, production-ready OCI-native container registry for storing images, Helm charts, SBOMs, and other artifacts without vendor lock-in. It offers built-in authentication (OIDC, LDAP), storage options (S3, Azure), scanning, caching to cut Docker Hub limits/latency, and ARM/edge support as a single binary. You benefit by easily self-hosting a secure, scalable alternative to Docker Hub, saving costs, boosting speed, and enabling secret-less workflows on any device.

https://github.com/project-zot/zot

#python #glm #image2text #ocr

GLM-OCR is a top 0.9B-parameter model for accurate OCR on complex documents like tables, code, formulas, seals, and receipts, scoring 94.62 on OmniDocBench V1.5. Install via `pip install glmocr`, use cloud API (no GPU needed) or self-host with vLLM/SGLang for fast, low-cost inference, and get JSON/Markdown outputs easily via CLI or Python. You benefit from quick, robust document parsing that saves time, cuts compute costs, and integrates simply into your apps for real-world tasks.

https://github.com/zai-org/GLM-OCR

#typescript

OMX is a workflow layer that enhances OpenAI Codex by adding better task routing, reusable skills, and project state management. It keeps Codex as the execution engine while introducing canonical workflows like `$deep-interview` for clarification, `$ralplan` for planning approval, and `$ralph` or `$team` for execution. The benefit is that you get a structured, consistent approach to complex coding tasks—clarify intent first, approve the plan, then execute with either persistent single-owner loops or coordinated parallel work—without replacing Codex itself, just making your day-to-day work more organized and efficient.

https://github.com/Yeachan-Heo/oh-my-codex

#typescript #electron #open_source #pixijs #screen_capture #screen_recorder

OpenScreen is a free, open-source app like a simple Screen Studio for making beautiful product demos and screen walkthroughs. Record your full screen or windows, add zooms, mic/system audio, backgrounds, motion blur, annotations, trims, speed changes, and export in any ratio. Download from GitHub for macOS, Linux, or Windows—it's MIT-licensed so you can use, modify, or sell it freely with just a copyright notice. You save $29/month, get core tools without limits for personal/commercial use, and customize fully.

https://github.com/siddharthvaddem/openscreen

#rust #filesearch #lua #neovim #neovim_plugin #rust

FFF is a super-fast fuzzy file finder for AI agents and Neovim users. It excels at grepping, fuzzy matching, and globbing with built-in memory that ranks results by frecency, git status, file size, and more for typo-proof searches. Install easily via script for AI (like Claude) or Lua for Neovim (keys like ff for files, fg for grep). This saves you time and tokens by finding code instantly, skipping useless files, and boosting productivity on big repos.

https://github.com/dmtrKovalenko/fff.nvim

#python #apple_silicon #florence2 #idefics #llava #llm #local_ai #mlx #molmo #paligemma #pixtral #vision_framework #vision_language_model #vision_transformer

MLX-VLM lets you run, chat with, and fine-tune Vision Language Models (VLMs) plus audio/video models on your Mac using MLX—install easily with `pip install -U mlx-vlm`. Use CLI for quick text/image/audio generation (e.g., `mlx_vlm.generate --model ... --image photo.jpg`), Gradio UI for chats, Python scripts, or a FastAPI server with OpenAI-compatible endpoints supporting multi-images/videos. Features like TurboQuant cut KV cache memory by 76%, and LoRA/QLoRA fine-tuning works on consumer hardware. You benefit by experimenting with powerful multimodal AI locally—fast, memory-efficient, no cloud costs, perfect for Mac users tweaking models affordably.

https://github.com/Blaizzy/mlx-vlm

#yara #awesome_list #blueteam #blueteam_tools #cti #detection #detection_engineering #dfir #hacktools #incident_response #ioc #iocs #ir #ransomware #redteam #rmm #security #siem #soc #threat_hunting #threat_intelligence

You can access comprehensive security detection lists and threat hunting resources that help identify malicious activity across your infrastructure. These curated collections include indicators like suspicious file hashes, domain names, IP addresses, and behavioral patterns organized by threat type—from ransomware and phishing to command-and-control servers and vulnerable drivers. By integrating these lists into your security tools like SIEM platforms and endpoint detection systems, you gain immediate visibility into known threats while learning detection methodologies through guides and YARA rules. This accelerates your ability to hunt for compromises, validate security controls, and stay current with emerging attack techniques without building detection logic from scratch.

https://github.com/mthcht/awesome-lists

#kotlin

Google AI Edge Gallery lets you run powerful open-source AI models like Gemma 4 on your phone offline, with features like smart agents, image analysis, voice transcription, and a prompt tester. It keeps everything private on your device for fast, secure use without internet. Download from Google Play or App Store to test advanced AI reasoning and creativity anytime, boosting your productivity and privacy on the go.

https://github.com/google-ai-edge/gallery

#cplusplus

LiteRT-LM is Google's free, high-speed tool for running large language models like Gemma 4 on phones, computers, Raspberry Pi, and more, with GPU boosts, vision/audio support, and tool use for smart apps. It powers AI in Chrome, Pixel Watch, and Chromebook—try it fast via CLI command on Linux, macOS, Windows, or Pi without coding. You benefit by easily deploying fast, private on-device AI for apps, prototyping, or edge projects, saving time and cloud costs.

https://github.com/google-ai-edge/LiteRT-LM