#javascript #erp #hacktoberfest #odoo #python
OCA/web offers 40+ free addons for Odoo 18 web interface, like dark mode, responsive design, custom calendars, notifications, charts, and tree view improvements with maintainers listed. All pass pre-commit, build, and translation checks, licensed AGPL-3.0 or per module. You gain easy UI enhancements to customize Odoo backend faster, boost usability on mobile/touchscreens, save time on exports/filters, and improve productivity without coding from scratch.
https://github.com/OCA/web
OCA/web offers 40+ free addons for Odoo 18 web interface, like dark mode, responsive design, custom calendars, notifications, charts, and tree view improvements with maintainers listed. All pass pre-commit, build, and translation checks, licensed AGPL-3.0 or per module. You gain easy UI enhancements to customize Odoo backend faster, boost usability on mobile/touchscreens, save time on exports/filters, and improve productivity without coding from scratch.
https://github.com/OCA/web
GitHub
GitHub - OCA/web: Odoo web client UI related addons
Odoo web client UI related addons. Contribute to OCA/web development by creating an account on GitHub.
#python
Polymarket Agents is a free, open-source Python framework to build AI agents that trade autonomously on Polymarket prediction markets. It integrates the Polymarket API, pulls data from news and bets, uses RAG for smart info retrieval, and offers LLM tools for strategies like spotting cheap YES/NO shares when their average cost dips below $1 for guaranteed profit. You benefit by automating emotion-free trades, capturing market inefficiencies instantly, and boosting returns without constant monitoring.
https://github.com/Polymarket/agents
Polymarket Agents is a free, open-source Python framework to build AI agents that trade autonomously on Polymarket prediction markets. It integrates the Polymarket API, pulls data from news and bets, uses RAG for smart info retrieval, and offers LLM tools for strategies like spotting cheap YES/NO shares when their average cost dips below $1 for guaranteed profit. You benefit by automating emotion-free trades, capturing market inefficiencies instantly, and boosting returns without constant monitoring.
https://github.com/Polymarket/agents
GitHub
GitHub - Polymarket/agents: Trade autonomously on Polymarket using AI Agents
Trade autonomously on Polymarket using AI Agents. Contribute to Polymarket/agents development by creating an account on GitHub.
#python #deep_learning #inference #openai #quantization #speech_recognition #speech_to_text #transformer #whisper
Faster-Whisper is a fast version of OpenAI's Whisper that transcribes audio up to 4x quicker with the same accuracy, using less memory on CPU or GPU—benchmarks show it beats original Whisper (e.g., 1m03s vs 2m23s for 13-min audio on GPU). Install via `pip install faster-whisper`, no FFmpeg needed, and use simple Python code like `WhisperModel("large-v3").transcribe("audio.mp3")` for segments with timestamps. You benefit by getting quick, efficient speech-to-text for real-time apps, saving time and resources on long files or batches.
https://github.com/SYSTRAN/faster-whisper
Faster-Whisper is a fast version of OpenAI's Whisper that transcribes audio up to 4x quicker with the same accuracy, using less memory on CPU or GPU—benchmarks show it beats original Whisper (e.g., 1m03s vs 2m23s for 13-min audio on GPU). Install via `pip install faster-whisper`, no FFmpeg needed, and use simple Python code like `WhisperModel("large-v3").transcribe("audio.mp3")` for segments with timestamps. You benefit by getting quick, efficient speech-to-text for real-time apps, saving time and resources on long files or batches.
https://github.com/SYSTRAN/faster-whisper
GitHub
GitHub - SYSTRAN/faster-whisper: Faster Whisper transcription with CTranslate2
Faster Whisper transcription with CTranslate2. Contribute to SYSTRAN/faster-whisper development by creating an account on GitHub.
#python #beancount
Beancount is free, open-source double-entry accounting software that uses simple text files to track finances, create reports, and view data via a web interface. Download the current stable Version 3 from GitHub, check docs at beancount.github.io/docs, and ask questions on the mailing list. This helps you manage money flexibly with version control, automation, privacy, and no vendor lock-in, saving time on tracking expenses, assets, and budgets accurately.
https://github.com/beancount/beancount
Beancount is free, open-source double-entry accounting software that uses simple text files to track finances, create reports, and view data via a web interface. Download the current stable Version 3 from GitHub, check docs at beancount.github.io/docs, and ask questions on the mailing list. This helps you manage money flexibly with version control, automation, privacy, and no vendor lock-in, saving time on tracking expenses, assets, and budgets accurately.
https://github.com/beancount/beancount
beancount.github.io
Beancount Documentation
Auto-generated markdown version
#python #crawler #feapder #feaplat #python #scrapy #spider
Feapder is a simple, powerful Python web scraping framework (Python 3.6+) with four spider types for different needs, plus breakpoint resuming, monitoring alerts, browser rendering, and massive data deduplication. Install easily via pip (basic, render, or full versions), create a spider with one command, and run it to fetch/parse sites like Baidu. A management system handles deployment/scheduling. This saves you time by making scraping fast, reliable, and scalable without building everything from scratch.
https://github.com/Boris-code/feapder
Feapder is a simple, powerful Python web scraping framework (Python 3.6+) with four spider types for different needs, plus breakpoint resuming, monitoring alerts, browser rendering, and massive data deduplication. Install easily via pip (basic, render, or full versions), create a spider with one command, and run it to fetch/parse sites like Baidu. A management system handles deployment/scheduling. This saves you time by making scraping fast, reliable, and scalable without building everything from scratch.
https://github.com/Boris-code/feapder
GitHub
GitHub - Boris-code/feapder: 🚀🚀🚀feapder is an easy to use, powerful crawler framework | feapder是一款上手简单,功能强大的Python爬虫框架。内置AirSp…
🚀🚀🚀feapder is an easy to use, powerful crawler framework | feapder是一款上手简单,功能强大的Python爬虫框架。内置AirSpider、Spider、TaskSpider、BatchSpider四种爬虫解决不同场景的需求。且支持断点续爬、监控报警、浏览器渲染、海量数据去重等功能。更有功能强大的爬虫管理系统feaplat为其提...
#python
Python 3.15.0 alpha 3 is an early test version you can build from source on Unix/Linux/macOS with simple steps: `./configure`, `make`, `make test`, `sudo make install`. Use `--enable-optimizations` for faster performance via PGO, run `make test` to check it works, and `make altinstall` for multiple versions side-by-side. Access docs at docs.python.org/3.15, source at github.com/python/cpython, and contribute via the dev guide. This helps you test new features early, optimize your code, and prepare projects ahead of the stable release for better speed and reliability.
https://github.com/python/cpython
Python 3.15.0 alpha 3 is an early test version you can build from source on Unix/Linux/macOS with simple steps: `./configure`, `make`, `make test`, `sudo make install`. Use `--enable-optimizations` for faster performance via PGO, run `make test` to check it works, and `make altinstall` for multiple versions side-by-side. Access docs at docs.python.org/3.15, source at github.com/python/cpython, and contribute via the dev guide. This helps you test new features early, optimize your code, and prepare projects ahead of the stable release for better speed and reliability.
https://github.com/python/cpython
Python documentation
Python 3.14 documentation
The official Python documentation.
#python #adb #agents #ai #android #appium #automation #dynamic_analysis #frida #magisk #mcp #mcp_server #mobile_security #pentesting #remote_control #reverse_engineering #security #uiautomation #uiautomator2 #workflow #xposed
FIRERPA is a powerful Android automation tool that runs on-device with root access, works on versions 6.0 to 16, and offers low-latency remote desktop, 160+ APIs, Python SDK, and AI integration for tasks like testing, data collection, and forensics. It needs no extra setup, stays stable for large-scale use, and beats other tools in compatibility. You benefit by automating mobile tasks quickly, saving time on development and monitoring, with easy visual control for reliable results.
https://github.com/firerpa/lamda
FIRERPA is a powerful Android automation tool that runs on-device with root access, works on versions 6.0 to 16, and offers low-latency remote desktop, 160+ APIs, Python SDK, and AI integration for tasks like testing, data collection, and forensics. It needs no extra setup, stays stable for large-scale use, and beats other tools in compatibility. You benefit by automating mobile tasks quickly, saving time on development and monitoring, with easy visual control for reliable results.
https://github.com/firerpa/lamda
GitHub
GitHub - firerpa/lamda: The most powerful Android RPA agent framework, next generation of mobile automation robots.
The most powerful Android RPA agent framework, next generation of mobile automation robots. - firerpa/lamda
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#python
This GitHub repo runs a 6-month experiment where ChatGPT manages a real $100 micro-cap stock portfolio daily, using trading data, strict 10% stop-losses, and weekly research to pick trades—outperforming the S&P 500 by 25% (+29% vs. +4%) in the first two months. It offers Python scripts, prompts, CSVs, performance charts, and a starter guide to run your own. You benefit by testing AI stock picking transparently with low risk, learning from logs to boost your trading skills or generate real returns.
https://github.com/LuckyOne7777/ChatGPT-Micro-Cap-Experiment
This GitHub repo runs a 6-month experiment where ChatGPT manages a real $100 micro-cap stock portfolio daily, using trading data, strict 10% stop-losses, and weekly research to pick trades—outperforming the S&P 500 by 25% (+29% vs. +4%) in the first two months. It offers Python scripts, prompts, CSVs, performance charts, and a starter guide to run your own. You benefit by testing AI stock picking transparently with low risk, learning from logs to boost your trading skills or generate real returns.
https://github.com/LuckyOne7777/ChatGPT-Micro-Cap-Experiment
GitHub
GitHub - LuckyOne7777/ChatGPT-Micro-Cap-Experiment: This repo powers my experiment where ChatGPT manages a real-money micro-cap…
This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio. - LuckyOne7777/ChatGPT-Micro-Cap-Experiment
#python #agent #agent_framework #browsecomp #deep_research #futurex #gaia #hle #research_agent #search_agent #xbench
MiroThinker v1.5 is the top open-source AI search agent with a 256K context window and up to 400 tool calls per task for deep web research, code execution, and multi-step reasoning. It leads benchmarks like HLE-Text (39.2%), BrowseComp (69.8%), and GAIA (80.8%), beating other free agents at low cost. You benefit by getting accurate, real-world research help—like finding arXiv papers or solving complex queries—faster and cheaper than paid tools, with full open-source access on GitHub and Hugging Face.
https://github.com/MiroMindAI/MiroThinker
MiroThinker v1.5 is the top open-source AI search agent with a 256K context window and up to 400 tool calls per task for deep web research, code execution, and multi-step reasoning. It leads benchmarks like HLE-Text (39.2%), BrowseComp (69.8%), and GAIA (80.8%), beating other free agents at low cost. You benefit by getting accurate, real-world research help—like finding arXiv papers or solving complex queries—faster and cheaper than paid tools, with full open-source access on GitHub and Hugging Face.
https://github.com/MiroMindAI/MiroThinker
GitHub
GitHub - MiroMindAI/MiroThinker: MiroThinker is an open-source search agent model, built for tool-augmented reasoning and real…
MiroThinker is an open-source search agent model, built for tool-augmented reasoning and real-world information seeking, aiming to match the deep research experience of OpenAI Deep Research and Gem...
#python #large_language_models #llms #long_video_understanding #multi_modal_llms #rag #retrieval_augmented_generation
Vimo is a desktop app that lets me chat with any video, from short clips to hundreds of hours, in simple natural language. I can drag and drop videos, ask questions, find exact moments, compare multiple videos, and export useful insights, all on macOS, Windows, or Linux. Powering this is the VideoRAG algorithm, which deeply understands visual, audio, and contextual information, giving accurate answers even for very long videos. This helps me save time, understand complex content faster, and turn large video libraries into searchable, usable knowledge.
https://github.com/HKUDS/VideoRAG
Vimo is a desktop app that lets me chat with any video, from short clips to hundreds of hours, in simple natural language. I can drag and drop videos, ask questions, find exact moments, compare multiple videos, and export useful insights, all on macOS, Windows, or Linux. Powering this is the VideoRAG algorithm, which deeply understands visual, audio, and contextual information, giving accurate answers even for very long videos. This helps me save time, understand complex content faster, and turn large video libraries into searchable, usable knowledge.
https://github.com/HKUDS/VideoRAG
GitHub
GitHub - HKUDS/VideoRAG: [KDD'2026] "VideoRAG: Chat with Your Videos"
[KDD'2026] "VideoRAG: Chat with Your Videos". Contribute to HKUDS/VideoRAG development by creating an account on GitHub.
❤3
#python #agent #agentic_ai #agentic_framework #agentic_workflow #ai #ai_agents #ai_companion #ai_roleplay #benchmark #framework #llm #mcp #memory #open_source #python #sandbox
MemU lets AI systems take in conversations, documents, and media, turn them into structured memories, and store them in a clear three-layer file system. It offers both fast embedding search and deeper LLM-based retrieval, works with many data types, and supports cloud or self-hosted setups with simple APIs. This helps you build AI agents that truly remember past interactions, retrieve the right context when needed, and improve over time, making your applications more accurate, personal, and efficient.
https://github.com/NevaMind-AI/memU
MemU lets AI systems take in conversations, documents, and media, turn them into structured memories, and store them in a clear three-layer file system. It offers both fast embedding search and deeper LLM-based retrieval, works with many data types, and supports cloud or self-hosted setups with simple APIs. This helps you build AI agents that truly remember past interactions, retrieve the right context when needed, and improve over time, making your applications more accurate, personal, and efficient.
https://github.com/NevaMind-AI/memU
GitHub
GitHub - NevaMind-AI/memU: Memory infrastructure for LLMs and AI agents
Memory infrastructure for LLMs and AI agents. Contribute to NevaMind-AI/memU development by creating an account on GitHub.
#python
AlpaSim is an open-source simulator that lets me test full autonomous driving systems in realistic, closed-loop virtual environments. It gives me high-quality camera and sensor data, realistic vehicle physics, and complex traffic scenarios, all configurable for my experiments. Because it is modular, Python-based, and built on microservices, I can easily plug in my own algorithms, scale across machines, and debug tricky behaviors. Built-in support for advanced driving policies, rich documentation, and sample datasets helps me quickly validate, compare, and improve my models while reducing the cost and risk of real-world testing.
https://github.com/NVlabs/alpasim
AlpaSim is an open-source simulator that lets me test full autonomous driving systems in realistic, closed-loop virtual environments. It gives me high-quality camera and sensor data, realistic vehicle physics, and complex traffic scenarios, all configurable for my experiments. Because it is modular, Python-based, and built on microservices, I can easily plug in my own algorithms, scale across machines, and debug tricky behaviors. Built-in support for advanced driving policies, rich documentation, and sample datasets helps me quickly validate, compare, and improve my models while reducing the cost and risk of real-world testing.
https://github.com/NVlabs/alpasim
GitHub
GitHub - NVlabs/alpasim
Contribute to NVlabs/alpasim development by creating an account on GitHub.
#python #n8n #n8n_workflow #workflows
n8n offers ready-made templates for creating AI agents that automate content creation and business tasks. These templates cover everything from generating social media posts and videos to researching topics and managing leads—all without requiring coding skills. By using these pre-built workflows, you can quickly launch automation projects for marketing, content production, and lead generation, saving time and reducing manual work while scaling your business operations efficiently.
https://github.com/gyoridavid/ai_agents_az
n8n offers ready-made templates for creating AI agents that automate content creation and business tasks. These templates cover everything from generating social media posts and videos to researching topics and managing leads—all without requiring coding skills. By using these pre-built workflows, you can quickly launch automation projects for marketing, content production, and lead generation, saving time and reducing manual work while scaling your business operations efficiently.
https://github.com/gyoridavid/ai_agents_az
GitHub
GitHub - gyoridavid/ai_agents_az
Contribute to gyoridavid/ai_agents_az development by creating an account on GitHub.