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Xbrl Python Packages

Python packages with the GitHub topic xbrl. Sorted by monthly downloads, with stars and forks.
dgunning
edgartools

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.

901K 3K 502
divbzero
xbrl

Parsing and navigating XBRL documents

27K 5 0
RoboFinSystems
xbrlkit

Read SEC and ESEF XBRL filings locally: parse once with Arelle into a portable model, export to TAVI, xBRL-JSON, JSON-LD or a LadybugDB property graph (one filing or many stacked), and query it with Cypher or from any MCP client.

15K 1 1
kanedata
ixbrlparse

A python library for getting useful data out of ixbrl files.

13K 72 23
matthelmer
edinet-tools

Python library for Japan's EDINET disclosures. 42 document types parsed as typed Python, from EDINET's CSV, the filing's own inline XBRL or its XBRL instance. 11,000+ entities by name, ticker, EDINET code or 法人番号.

6K 55 9
eddmpython
dartlab

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

5K 223 44
manusimidt
py-xbrl

Python-based parser for parsing XBRL and iXBRL files

5K 154 50
catalyst-cooperative
catalystcoop-ferc-xbrl-extractor

A tool for converting FERC filings published in XBRL into SQLite databases

3K 17 3
datavidence
datavidence-financials

Open-source Model Context Protocol (MCP) server for the Datavidence Financials API. Gives LLM agents normalized US-GAAP financial statements from SEC EDGAR - income statement, balance sheet, cash flow - with point-in-time (as-reported) figures and per-value SEC source provenance for citation.

3K 0 0
stefanoamorelli
sec-edgar-toolkit

🏛️ 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.

3K 38 8
Dxfory
edgar-filings-mcp

MCP server for SEC 10-K/10-Q symbols, segment revenue, BDC non-accrual, and Form 4 with citations.

1K 0 0
ajtgjmdjp
edinet-mcp

EDINET XBRL parsing library and MCP server for Japanese financial data

1K 18 7
Am1n1602
calcfinc

Auditable financial ratios for any entity. Exact Decimal maths, zero dependencies. Every result carries its formula, input facts and limitations, missing data gives None with a reason. SEC and Indian XBRL adapters, bank and insurer aware.

1K 0 0
DataQualityCommittee
dqc-us-rules

XBRL US Data Quality Committee Rules

956 32 41
adamhudson777
filingrail-mcp

MCP server for the Filingrail SEC EDGAR API — company financials, insider trades, 8-K events, 13F holdings, and filings for Claude Desktop, Cursor, Continue, and any MCP agent. pip install filingrail-mcp

843 0 0
antonheitz
xbrl-forge

Open Source iXBRL Report, xBRL Report and xBRL Taxonomy Generator

738 8 3
zoharbabin
edgar-analytics

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.

730 27 3
axioradev
axiora

Official Python SDK for the Axiora API — Japanese financial data infrastructure

594 0 0
AkilaAnalytics
akyla-mcp

MCP server for the Akyla Financial Data API — cited SEC fundamentals, quotes, statements, comps & a US-equity screener for Claude, ChatGPT, Cursor & more.

459 0 0
cybermaggedon
ixbrl-reporter

Automated creation of iXBRL financial reports files from template configuration and account data

273 35 12
Metricshour
edgar-geo-revenue

Extract geographic revenue breakdowns from SEC EDGAR 10-K filings. Pure Python, no API key.

271 1 0
lucasastorian
mcp-sec-edgar

Standalone open-source SEC EDGAR MCP server for Claude Desktop

258 0 0
kakoullig-hue
dora-lei-check

Check the LEIs in your DORA Register of Information against GLEIF before you submit. Runs locally — your register never leaves your machine. Zero dependencies.

240 0 0
ajtgjmdjp
japanfinance-agent

Compound MCP agent combining 6 Japan finance data sources — EDINET, TDNET, e-Stat, BOJ, news, stock prices

235 2 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology