sec

Read and analyze SEC EDGAR filings in Python. 10-K, 8-K, XBRL financials, Form 3/4/5, 13F, ADV — clean API, well-typed, MIT-licensed.

Download all companies periodic reports, filings and forms from EDGAR database.

The only open-source toolkit that can download SEC EDGAR financial reports and extract textual data from specific item sections into nice & clean structured JSON files. Presented at WWW 2025 @ Sydney, Australia (https://dl.acm.org/doi/10.1145/3701716.3715289)

Download the SEC filings index from EDGAR since 1993

Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.

通过抖音直播弹幕实现对电脑或游戏的控制。

A small library to access files from SEC's edgar

恶意IP全自动封禁平台。支持收集如下安全设备告警：长亭WAF社区版（SafeLine）、微步蜜罐HFish、奇安信天眼、奇安信椒图、绿盟WAF、天融信WAF、科来网络安全分析审计系统、深信服态势感知、启明星辰全网安全态势感知系统。支持如下设备联动封禁：RouterOS、OPNsense、CheckPoint、旁路阻断（无需设备配合）、BGP、奇安信防火墙、天融信防火墙、深信服防火墙。

Korean DART + SEC EDGAR filings as structured Python data for company analysis

ChatGPT加持的，多人在线协同信息安全报告编写平台。目前支持的报告类型：渗透测试报告，APP隐私合规报告。

Chat with SEC filings for any investment question

A simple python library that allows for easy access of the SEC website so that someone can parse filings, collect data, and query documents.

Python application used to download, parse, and extract structured/unstructured data from filings in the SEC Edgar Database (including 10-K, 10-Q, 13-D, S-1, 8-K, etc.)

sdlc_python 是一个基于python语言构建的devsecops平台，旨在促进 DevSecOps 和安全开发生命周期 (SDLC) 实践。它通过模拟常见漏洞来增强开发人员的安全意识(对应sdlc中对开发人员的安全培训)，并且使用了大模型进行代码安全审计（对应sdlc中代码审计阶段），帮助企业进行安全左移。除了用于 DevSecOps 实践外，sdlc_python 还可以用于学习漏洞知识、渗透测试和代码审计。本项目采用了前后端分离的设计模式，其中后端利用了轻量级框架 Flask，而前端则使用了 Vue 3。

🏛️ Open-source toolkit for accessing SEC EDGAR financial data with Python and TypeScript/JavaScript SDKs. Features comprehensive parsing for 10-K, 10-Q, 8-K forms, XBRL financial data extraction, and real-time company filings retrieval.

Securities and Exchange Commission utility package for dealing with Edgar database. Includes methods to download index files and SEC files in a systematic way.

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

EDGAR Analytics – Python Library for Extracting, Analyzing, and Forecasting SEC EDGAR Filings. Streamline your financial analysis with comprehensive metrics, growth rates, and automated reporting capabilities.

Command-line interface (CLI) program for downloading 10-K, 10-K/A, 10-Q, 10-Q/A filings from the SEC EDGAR database.

Scraper/Parser of Fundamental Financial Data for US companies