AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
-
Updated
Nov 27, 2024 - Python
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Extract data from a wide range of Internet sources into a pandas DataFrame.
数据接口:百度、谷歌、头条、微博指数,宏观数据,利率数据,货币汇率,千里马、独角兽公司,新闻联播文字稿,影视票房数据,高校名单,疫情数据…
Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)
Captura os dados de sócios das empresas brasileiras na Receita Federal e exporta para um formato legível por humanos
Python Client for Interfacing with the Federal Reserve Bank of St. Louis' Economic Data API (FRED®)
Full Python interface to Federal Reserve Economic Data (FRED)
Python 3 examples of using economic data APIs and working with economic microdata. Includes bd CPS.
ipeadatapy is a data and metadata extraction package made in Python using Ipeadata database official API. In it's essence it is an API wrapper.
Pull data from Federal Reserve Economic Data (FRED) directly into Julia
Automated PDF containing charts, tables, maps, and analysis of the US economy
Python API Client for FRED
This project will aim at studying and analyzing the inflation rates of countries globally. The dataset is a public dataset downloaded from International Monetary Fund(IMF) which consists of the inflation rates of countries from 1980 to 2017 and the projected inflation rates of the countries till 2022. Finally I will be producing a dashboard buil…
A .NET wrapper built on Quandl v3 REST API, based on .NET standard 2.0
API that retrieves the Forex economic calendar of market events in JSON 📈
R Companion to the textbook "Econometrics" by Fumio Hayashi
Python client for Finnhub API
Python client to read IMF World Economic Outlook (WEO) dataset as pandas dataframe.
Simple financial dashboard powered by OpenBB and Streamlit. App displays stocks, bonds, currencies, cryptos, indices, and alt economic data all in one place.
Add a description, image, and links to the economic-data topic page so that developers can more easily learn about it.
To associate your repository with the economic-data topic, visit your repo's landing page and select "manage topics."