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Data Analysis

Browse AI open-source projects in Data Analysis from the current public snapshot, including licenses, deployment, use cases, limitations, and verified sources.

bradautomates/claude-video — A skill that lets AI assistants and coding agents process video by downloading sources, extracting frames, and transcribing audio. It hands the visual and textual data to the model for grounded answers, running locally…
qdrant/qdrant — Qdrant is a vector database written in Rust that stores, searches, and manages vectors with JSON payload for AI and semantic matching applications. It supports dense, sparse, and multi-vector search, payload filtering,…
wonderwhy-er/DesktopCommanderMCP — Desktop Commander is a local MCP server that lets AI assistants run terminal commands, manage processes, edit files, and execute code in memory. It runs on a user's local machine using existing host client subscriptions…
TauricResearch/TradingAgents — A multi-agent LLM framework that mirrors a real-world trading firm, deploying specialized analyst, researcher, trader, and risk-management agents to collaboratively evaluate market conditions and inform trading decision…
microsoft/ML-For-Beginners — A 12-week, 26-lesson curriculum covering classic machine learning techniques using Scikit-learn. Designed for beginners, it provides project-based lessons with frequent quizzes while intentionally avoiding deep learning…
OpenBB-finance/OpenBB — OpenBB provides a 'connect once, consume everywhere' infrastructure layer for integrating proprietary, licensed, and public financial data into Python environments, web interfaces, and AI agents. It consolidates multipl…
scikit-learn/scikit-learn — scikit-learn is a Python library for machine learning built on top of SciPy, providing algorithms and tools for data analysis. It has been maintained since 2007 and is installable as a self-hosted library.
virattt/ai-hedge-fund — This is a proof-of-concept AI hedge fund designed to explore how specialized agents can collaborate on trading decisions. It combines investor and market-analysis agents to produce trading signals, risk metrics, and sim…
pathwaycom/pathway — Pathway is a Python framework for building scalable ETL pipelines that process batch and streaming data through the same code. It uses a Rust engine for execution and supports real-time analytics, LLM pipelines, and RAG…
ZhuLinsen/daily_stock_analysis — This project consolidates multi-market stock data and news into daily, LLM-powered analysis and decision-oriented reports. It provides an automation-ready workspace for individual research, requiring at least one extern…
pathwaycom/llm-app — Ready-to-deploy LLM application templates that provide retrieval-augmented generation (RAG) over live, changing data sources. The templates include built-in data indexing and search capabilities, removing the need to ma…
microsoft/qlib — Qlib provides a modular machine learning framework for quantitative investment research, spanning dataset construction, model training, backtesting, and evaluation. It is designed for researchers and engineers building…
PostHog/posthog — PostHog is a product analytics and observability platform that unites analytics, session replay, feature flags, experiments, error tracking, and log analysis to help product teams diagnose problems and identify opportun…
shiyu-coder/Kronos — Kronos is a pre-trained foundation model specialized for financial candlestick (K-line) sequences, addressing the limitations of general-purpose time series models on high-noise market data. It provides a Python library…
OpenBMB/ChatDev — chatdev is a zero-code multi-agent orchestration framework that lets users visually design, configure, and execute customized multi-agent systems through a web-based canvas. It supports drag-and-drop workflow constructi…
explosion/spaCy — explosion/spacy provides advanced Natural Language Processing (NLP) capabilities in Python, including neural network models for tagging, parsing, named entity recognition, and text classification. It supports tokenizati…
hsliuping/TradingAgents-CN — hsliuping/tradingagents-cn is a Chinese-localized, multi-agent LLM-based stock analysis learning platform supporting A-share, HK, and US stock research without providing real trading instructions. It provides a web GUI,…
HKUDS/Vibe-Trading — An open-source research workspace that connects natural-language prompts to market-data loaders, strategy generation, backtest engines, reports, and persistent research memory. It supports A/HK/US equities, crypto, futu…
donnemartin/data-science-ipython-notebooks — A structured collection of instructional IPython notebooks covering data science, deep learning, and big data topics. It serves as an interactive learning resource for developers to practice concepts using libraries suc…
dmlc/xgboost — dmlc/xgboost is a library for solving data science problems with parallel gradient-boosted tree models across single-machine and distributed environments. It provides an efficient, flexible, and portable distributed gra…
OtterMind/Chat2DB — A cross-platform database client that runs locally and integrates a user-provided AI model for natural language SQL generation, explanation, and optimization. It supports multiple database systems, including MySQL, Post…
google-research/timesfm — timesfm is a pretrained decoder-only foundation model for time-series forecasting. It accepts time-series data and produces time-series forecasts.
apify/crawlee — Crawlee is a Node.js library for building reliable web scraping and browser automation crawlers that can avoid modern bot protections. It provides a unified interface for HTTP and headless browser crawling with built-in…
sinaptik-ai/pandas-ai — A Python library that lets developers and data teams query CSV, parquet, SQL, and DataFrame sources using natural language via an external LLM. It returns natural language responses and charts, and requires Python knowl…
anthropics/knowledge-work-plugins — anthropics/knowledge-work-plugins provides 11 ready-to-use plugin collections that bundle role-specific skills, slash commands, and MCP server connector definitions to make Claude a specialist for specific job functions…
airbytehq/airbyte — Airbyte is an open-source data movement platform for ELT pipelines that provides over 600 connectors and can be self-hosted or used via cloud. It moves data from various APIs, databases, and files into data warehouses,…
AI4Finance-Foundation/FinGPT — FinGPT provides open-source financial large language models and benchmarks that can be fine-tuned at low cost. It addresses the prohibitive expense of training financial models from scratch and the inaccessibility of in…
eosphoros-ai/DB-GPT — This project connects to structured and unstructured data sources to perform agentic analysis, generate SQL and code, and produce reports via a web interface. It requires an external or local LLM provider to operate.
lightgbm-org/LightGBM — LightGBM is a gradient boosting framework that uses tree based learning algorithms. It offers faster training speed and lower memory usage for large-scale data.
bbfamily/abu — abu is a quantitative trading library that applies machine learning to optimize trading strategies across stocks, options, futures, and Bitcoin. It provides technical analysis, backtesting, and a non-programming UI inte…
argoproj/argo-workflows — argo-workflows is an open-source, container-native workflow engine for Kubernetes that orchestrates parallel jobs and manages task dependencies. It targets compute-intensive workloads such as machine learning and data p…
Canner/WrenAI — An open-source GenBI engine that lets AI agents generate, deploy, and govern business intelligence using a version-controlled context layer across multiple data sources. It is designed for teams who need governed SQL an…
googleapis/mcp-toolbox — An MCP server and custom tools framework that connects AI agents, IDEs, and applications to enterprise databases. It supplies prebuilt database tools, connection pooling, integrated auth, and observability for productio…
apache/doris — apache/doris is an open-source MPP database that delivers fast SQL analytics, lakehouse query acceleration, and hybrid search across structured, text, and vector data for high-concurrency real-time workloads.
xbtlin/ai-berkshire — A collection of investment research skills that applies the methodologies of four value investing masters via multi-agent adversarial analysis to generate structured, actionable investment reports. Users interact with t…
llmware-ai/llmware — llmware is a framework for building enterprise RAG pipelines that connect knowledge sources to generative AI models across local and self-hosted platforms. It provides access to over 300 prepackaged models and integrate…
ConardLi/easy-dataset — An application that converts domain-specific documents into structured datasets for LLM fine-tuning, retrieval-augmented generation, and evaluation. It provides document parsing, text splitting, dataset generation, and…
davisking/dlib — dlib is a modern C++ toolkit providing machine learning algorithms and tools for creating complex software that solves real world problems. It can be built from source using CMake or vcpkg, and includes a Python API ins…
microsoft/RD-Agent — microsoft/rd-agent automates high-value, data-driven industrial R&D processes by having AI autonomously extract formulas and models from real-world materials, implement them, and iteratively propose new ideas. It serves…
DataTalksClub/machine-learning-zoomcamp — machine-learning-zoomcamp is a free 4-month open-source course covering the entire machine learning engineering pipeline, from building models with Python to deploying them in production. It is designed for learners wit…

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