Python library to access and analyze SEC Edgar filings, XBRL financial statements, 10-K, 10-Q, and 8-K reports
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Updated
Apr 15, 2026 - Python
Python library to access and analyze SEC Edgar filings, XBRL financial statements, 10-K, 10-Q, and 8-K reports
SEC Edgar Scraper and XBRL Parser/Renderer
Node.js SDK for SEC & EDGAR data — API access and bulk dataset downloads for 20M+ filings, insider trades, 13F holdings, financial statements, exec comp, enforcement actions, material contracts, registration statements & prospectuses, bond & credit agreements, investment advisers, proxy voting, XBRL-to-JSON, real-time streaming, full-text search...
Python-based parser for parsing XBRL and iXBRL files
SECDatabase.com produced this dataset with the text and detailed numeric information of all financial statements. The Dataset is extracted from corporate annual and quarterly reports filed with the SEC using XBRL since January 2009.
Gepsio is a document object model for XBRL documents based on .NET.
한국 금융감독원에서 운영하는 다트(Dart) 시스템을 이용한 기업 재무제표 추출 프로그램
One stock code → full company story. Korean DART + US SEC EDGAR filings as structured Python data. 2,700+ KR / 970+ US companies.
Classes that implement the XBRL 2.1, XDT, Formulas, Generics, XFI and other XBRL specifications
Python SDK for Japanese corporate disclosure data — search 11,000+ companies, download filings, and parse XBRL from EDINET
A Go library to parse xbrl documents into their facts, contexts, and units.
An open-source XBRL processor for business rules, rendering and custom data reporting. See https://xbrl.us/xule for documentation and https://xbrl.us/xule-editor for a VS Code syntax highlighter.
OpenDART 전자공시MCP | 83개 API → 15 MCP 도구. 공시·재무·지분·XBRL + 버핏급 애널리스트 프레임(내부자 시그널·회계 리스크·퀄리티 체크리스트) + HWP/PDF 첨부 마크다운화 | 83 Korean DART disclosure APIs → 15 MCP tools with Buffett-grade analyst frames
Automated creation of iXBRL financial reports files from template configuration and account data
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