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It provides data connectors, indices, query engines, and agent orchestration to feed private data into LLMs for building RAG and agent apps.",{"owner":389,"repo":390,"repoId":391,"category":45,"subgroup":46,"language":19,"tags":392,"starCount":397,"ownerUid":398,"latestTag":399,"platforms":400,"lastReleaseTime":401,"downloadCount":402,"description":403},"pandas-dev","pandas",858127,[393,394,395,396,390,41],"alignment","data-analysis","data-science","flexible",50247,21206976,"v3.1.0",[346],"2026-10-22T13:20:42Z",164,"pandas is the most popular Python data analysis and manipulation library, providing labeled data structures (Series and DataFrame) similar to R's data.frame, covering cleaning, alignment, group-by aggregation, and time series for everyday data work.",{"owner":405,"repo":406,"repoId":407,"category":45,"subgroup":46,"language":408,"tags":409,"starCount":415,"ownerUid":416,"latestTag":417,"platforms":418,"lastReleaseTime":419,"downloadCount":420,"description":421},"jgthms","bulma",50264296,"CSS",[410,411,412,413,414],"css","css-framework","design","flexbox","html",50039,1254808,"1.0.4",[346],"2025-04-19T14:02:58Z",49173,"Bulma is a modern CSS-only framework based on Flexbox for building responsive interfaces, providing grids, components, and a modifier system without any JavaScript.",{"description":423,"readmeHtml":424},"OpenBB is an open financial data platform for analysts, quants, and AI agents, aggregating equities, options, crypto, and macro data from multiple sources behind one Python library and REST API — connect once, consume everywhere.","\u003Ch2 id=\"project-overview\">Project Overview\u003C\u002Fh2>\u003Cp>OpenBB (Open Data Platform, ODP) is an open-source financial data integration platform that helps data engineers unify proprietary, licensed, and public data sources and serve them to downstream consumers: quant research environments, analyst dashboards, AI agents (via MCP servers), and REST APIs. Its core idea is connect once, consume everywhere: data is integrated once, then shared across Python environments, Excel, OpenBB Workspace, and AI agents. Coverage spans equities, options, fixed income, crypto, and economic data.\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Item\u003C\u002Fth>\n\u003Cth>Value\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>Language\u003C\u002Ftd>\n\u003Ctd>Python\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Platform\u003C\u002Ftd>\n\u003Ctd>Any Python environment (Python 3.10-3.14)\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Data coverage\u003C\u002Ftd>\n\u003Ctd>Equities, options, fixed income, crypto, macro\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>License\u003C\u002Ftd>\n\u003Ctd>Apache-2.0\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Cblockquote>\n\u003Cp>A unified access layer for financial data: integrate once, consume everywhere.\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Ch2 id=\"key-features\">Key Features\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Unified Python interface\u003C\u002Fstrong>: fetch historical prices with one call — \u003Ccode>obb.equity.price.historical(&#39;AAPL&#39;)\u003C\u002Fcode> — and convert results to a DataFrame\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Multi-source aggregation\u003C\u002Fstrong>: proprietary, licensed, and public sources behind a single interface\u003C\u002Fli>\n\u003Cli>\u003Cstrong>REST API service\u003C\u002Fstrong>: the \u003Ccode>openbb-api\u003C\u002Fcode> command launches a local FastAPI server exposing all data endpoints\u003C\u002Fli>\n\u003Cli>\u003Cstrong>MCP server\u003C\u002Fstrong>: an MCP endpoint for AI agents to query financial data directly\u003C\u002Fli>\n\u003Cli>\u003Cstrong>OpenBB Workspace integration\u003C\u002Fstrong>: connect the backend to the enterprise analytics UI in a few clicks\u003C\u002Fli>\n\u003Cli>\u003Cstrong>CLI access\u003C\u002Fstrong>: install \u003Ccode>openbb-cli\u003C\u002Fcode> to query data from the command line\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Multi-asset coverage\u003C\u002Fstrong>: equities, options, fixed income, crypto, and economic data\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"target-audience\">Target Audience\u003C\u002Fh2>\u003Cul>\n\u003Cli>Quant researchers and data engineers\u003C\u002Fli>\n\u003Cli>Financial analysts and research teams\u003C\u002Fli>\n\u003Cli>Developers building financial AI agents\u003C\u002Fli>\n\u003Cli>Fintech teams aggregating multiple data sources\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"quick-start\">Quick Start\u003C\u002Fh2>\u003Col>\n\u003Cli>Install: \u003Ccode>pip install openbb\u003C\u002Fcode>\u003C\u002Fli>\n\u003Cli>Query data:\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Cdiv class=\"code-block\">\u003Cpre>\u003Ccode class=\"hljs language-python\">from openbb import obb\n\noutput = obb.equity.price.historical('AAPL')\ndf = output.to_dataframe()\u003C\u002Fcode>\u003C\u002Fpre>\u003C\u002Fdiv>\u003Col start=\"3\">\n\u003Cli>Start the local API server: run \u003Ccode>openbb-api\u003C\u002Fcode> and verify at \u003Ccode>http:\u002F\u002F127.0.0.1:6900\u003C\u002Fcode>\u003C\u002Fli>\n\u003Cli>Connect to OpenBB Workspace: add the backend URL from the Workspace Apps page\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"core-advantages\">Core Advantages\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Integrate once, use everywhere\u003C\u002Fstrong>: Python, REST, MCP, and Excel share one data layer\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Open-source foundation\u003C\u002Fstrong>: the platform core is open, with extensibility for custom sources\u003C\u002Fli>\n\u003Cli>\u003Cstrong>AI-ready\u003C\u002Fstrong>: designed for AI agents natively, with MCP support out of the box\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"system-requirements\">System Requirements\u003C\u002Fh2>\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Item\u003C\u002Fth>\n\u003Cth>Requirement\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>Language\u003C\u002Ftd>\n\u003Ctd>Python 3.10 - 3.14\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>OS\u003C\u002Ftd>\n\u003Ctd>Linux, macOS, Windows\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Data sources\u003C\u002Ftd>\n\u003Ctd>Some vendors require your own API keys\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Ch2 id=\"notes\">Notes\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Source credentials\u003C\u002Fstrong>: default endpoints rely on free sources; proprietary vendors need their API keys configured in the platform\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Investment risk\u003C\u002Fstrong>: the project states financial data is for reference only; trading decisions carry your own risk\u003C\u002Fli>\n\u003C\u002Ful>\n",1793197918537]