GitHub Trends
11.5K subscribers
15.9K links
See what the GitHub community is most excited about today.

A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel.

Author and maintainer: https://github.com/katursis
Download Telegram
#rust #ai #change_data_capture #context_engineering #data #data_engineering #data_indexing #data_infrastructure #data_processing #etl #hacktoberfest #help_wanted #indexing #knowledge_graph #llm #pipeline #python #rag #real_time #rust #semantic_search

**CocoIndex** is a fast, open-source Python tool (Rust core) for transforming data into AI formats like vector indexes or knowledge graphs. Define simple data flows in ~100 lines of code using plug-and-play blocks for sources, embeddings, and targets—install via `pip install cocoindex`, add Postgres, and run. It auto-syncs fresh data with minimal recompute on changes, tracking lineage. **You save time building scalable RAG/semantic search pipelines effortlessly, avoiding complex ETL and stale data issues for production-ready AI apps.**

https://github.com/cocoindex-io/cocoindex
1
#python #agents #ai #ai_engineer #ai_engineering #copilot #data_science #data_scientist #generative_ai #gpt #machine_learning #ml_engineer #ml_engineering #openai

AI Data Science Team is a free Python library with AI agents that speed up your data work 10X by handling loading, cleaning, visualization, EDA, feature engineering, modeling, and SQL tasks. Its flagship AI Pipeline Studio app creates visual, reproducible pipelines you can run with Streamlit after easy install (Python 3.10+, OpenAI or Ollama). This saves you hours on repetitive jobs, boosts accuracy, and lets you focus on insights and business results.

https://github.com/business-science/ai-data-science-team
#python #ai #ai_scraping #automation #crawler #crawling #crawling_python #data #data_extraction #mcp #mcp_server #playwright #python #scraping #selectors #stealth #web_scraper #web_scraping #web_scraping_python #webscraping #xpath

Scrapling is a fast Python web scraping tool that fetches pages, bypasses anti-bot blocks like Cloudflare, and adapts to site changes by auto-finding elements. Use simple CSS/XPath selectors, spiders for big crawls with pause/resume, proxy rotation, and CLI—no code needed sometimes. Install via pip; it's memory-light and beats others in speed. You save time fixing broken scrapers, scrape reliably at scale, cut costs with AI tools, and focus on using data for leads, prices, or research.

https://github.com/D4Vinci/Scrapling
4👍2
#python #agent_skills #ai_scientist #bioinformatics #chemoinformatics #claude #claude_skills #claudecode #clinical_research #computational_biology #data_analysis #drug_discovery #genomics #materials_science #metabolomics #proteomics #scientific_computing #scientific_visualization

Claude Scientific Skills offers 148+ ready-to-use tools for AI agents like Cursor or Claude Code, covering biology, chemistry, drug discovery, clinical research, ML, and 250+ databases (PubMed, ChEMBL, etc.). Easy setup: clone the GitHub repo and copy folders to your skills directory for automatic use in complex workflows like single-cell analysis or virtual screening. You save days on setup, get reliable code, and run multi-step science faster on your desktop.

https://github.com/K-Dense-AI/claude-scientific-skills
🔥21
#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
#rust #analytics #bi #data_visualization #javascript #jupyter #python #real_time #webassembly

Perspective is a fast tool for exploring large and streaming data. It lets you build dashboards, reports, notebooks, and apps with tables and many chart types. It works in the browser, Python, and Rust, and can connect to data sources like DuckDB or Arrow. This helps you quickly see patterns, make better decisions, and analyze data without heavy setup.

https://github.com/perspective-dev/perspective
👍2
#typescript #data_science #duckdb #geospatial #maplibre #maplibre_gl_js #tauri_app

GeoLibre is a free, open-source GIS app for viewing, exploring, and analyzing map data, and it works in your browser, on desktop, on mobile, and in Jupyter notebooks while keeping your data local and private. It gives you an easy way to make maps, use 3D views, and work with different places, so you can handle geospatial data without installing heavy software or moving your files online.

https://github.com/opengeos/GeoLibre
👍1
#python #agent_memory #ai #ai_governance #ai_infrastructure #artificial_intelligence #context_engineering #context_graphs #data_engineering #decision_intelligence #developer_tools #explainable_ai #generative_ai #graph_rag #knowledge_graph #llm #ontology #provenance #python #reasoning #semantic_search

Semantica is an open-source tool that turns messy data into clear, connected knowledge graphs for AI. It helps you track where facts came from, explain AI decisions, find conflicts, and keep systems auditable and trustworthy. This benefits you by making AI easier to trust, easier to check, and safer to use in important work like finance, healthcare, legal, and government.

https://github.com/semantica-agi/semantica
👍1
#python #bge #colbert #data_pipeline #deep_learning #embeddings #inference #inference_server #information_retrieval #llm #ml #mlops #natural_language_processing #nlp #python #reranking #retrieval #retrieval_augmented_generation #semantic_search #splade #vector_search

SIE is a self-hosted engine for AI agents that runs many open models from one cluster in your cloud. It can handle search, document cleanup, structured output, safety checks, and agent actions through one OpenAI-style API. This helps you use fewer services, keep control of your data, and make setup simpler and cheaper.

https://github.com/superlinked/sie
1👍1👎1