
pyeconomics
io.github.pyeconomics-dev由 GitHub 账号 pyeconomics-dev 发布v1.0.0b1更新于 Oct 30, 2026
Tested, cited economics and finance models and data, with a provenance manifest per result.
概览
本地 MCP 服务器,提供 50 个经过测试并附引用的经济与金融模型族及多数据源平台,每个结果都带来源清单。
- 可以做什么
- 运行覆盖 13 个领域的经济与金融模型,包括固定收益、衍生品、股票、投资组合、风险、计量经济、宏观和资产定价
- 查询包含 31 个数据提供方、171 个目录概念及实时数据版本绑定的数据平台
- 获得带单位与取值范围的类型化输入,以及附带可复现来源清单的结果
- 将结果导出为表格或可复现性数据包,与 Python API、命令行和 REST 接口保持一致
- 适用场景
- 适合需要让助手完成可追溯、可引用的金融与经济计算时使用,例如估值、风险或宏观分析,而不是凭空的估算。
- 运行要求
- 以 PyPI 包形式通过 stdio 在本地运行,可用 uvx 启动或用 pip 安装;需要 Python 3.12 或更高版本。必须安装 MCP 附加组件,且测试版需显式指定。未声明任何认证、环境变量或请求头。
安装
在 SourceWeft 中
- 打开 控制台中的 pyeconomics,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
[pyeconomics: Empowering Economic Insight]
pyeconomics
[CI] [PyPI] [Licence] [OpenSSF Scorecard]
Status: 1.0.0b1 is a beta pre-release on PyPI. Install explicitly with
pip install --pre pyeconomics==1.0.0b1(Python 3.12 or later). Plainpip install pyeconomicsstill installs 0.2.6, the stable release. Pre-releases carry no stability promise until 1.0.0.
pyeconomics provides 50 tested, cited economics and finance model
families across 13 domains: foundations, fixed income, derivatives,
international, equity, corporate, accounting, portfolio, performance, risk,
econometrics, macroeconomics and asset pricing. The data platform adds 31
providers, 171 catalog concepts and live bindings with real-time vintages.
Every model is served identically through the Python API, the pyeconomics
command line, the REST API (pyeconomics serve), the MCP server
(pyeconomics mcp) and tabular or reproducibility-bundle exports.
Typed inputs declare units and bounds; every result carries
a reproducible provenance manifest. Rates and percentages are decimals:
0.05 means 5%.
Use the 1.0 documentation preview
for formulas, assumptions and examples, and the
beta release notes
for the shipped surfaces and known limitations. See the
CLI guide,
REST API guide,
MCP server guide,
exports guide,
AI narrative guide,
data guide and
keys guide to get
started. Install optional econometrics, plotting, REST API and MCP support
with pip install --pre "pyeconomics[econometrics,plot,server,mcp]==1.0.0b1",
or run the MCP server directly with
uvx --from "pyeconomics[mcp]==1.0.0b1" pyeconomics mcp.
This beta replaces the 0.2.x API and adds the command line, exports and reproducibility bundles, REST API, MCP server and optional AI narrative on top of the model engine and data platform. The web app arrives in Phase 5; the project roadmap and architecture decisions record that plan. Keep legacy workloads in a separate environment.
pyeconomics 0.2.x
0.2.6 is the current stable release of the 0.2.x line: four monetary-policy rules over FRED data.
- It is MIT-licensed. Its source lives on the
legacy/0.2.xbranch, and its documentation at https://pyeconomics.readthedocs.io/. - It receives security fixes only, and reaches end of life when 1.0.0 is
released. Pins such as
pyeconomics<1keep working. - 0.2.0 to 0.2.5 log the FRED API key at DEBUG level. Upgrade to 0.2.6 and rotate any key those versions used: see advisory GHSA-j6rp-vwwv-jrr8.
Not to be confused with
This project is not davidrpugh/pyeconomics
(computational-economics course code from 2013–14) or
pyecon.org (a site teaching Python for economics). The
three share only the name.
Contributing and security
- CONTRIBUTING: setup, DCO sign-off, commit conventions and the model definition of done.
- SECURITY: report a vulnerability privately, never in a public issue.
- Code of Conduct.
- Changelog.
Licence
From 1.0, pyeconomics is licensed under the Apache License 2.0; see also NOTICE. Releases up to and including 0.2.x remain MIT-licensed.
Notices
As is; not investment advice. pyeconomics is for educational and informational use only, and is not registered with any regulator.
CFA® and Chartered Financial Analyst® are trademarks owned by CFA Institute. pyeconomics is not affiliated with, endorsed by, or a Prep Provider of CFA Institute.
来源:README.md,提交 206c2fa
工具
0版本历史
1- v1.0.0b1最新Oct 29, 2026
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