{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/9"},{"label":"Investment","url":"https://skillfed.io/packages/category/office-business-financial-investment"}],"enrichment":{"capability":"Vnstock fetches Vietnamese stock market data\u2014historical prices, financial statements, company profiles, indices, and macroeconomic indicators\u2014via a unified Python API and returns it as pandas DataFrames.","skillfed_tags":["finance-data","vietnam-markets","quantitative-analysis"],"use_cases":["Fetch historical OHLCV data for a Vietnamese stock symbol to backtest a trading strategy or calculate technical indicators.","Retrieve company financial statements (balance sheet, income statement) to build a fundamental analysis dashboard.","List all equities in a specific industry or exchange board to screen for investment opportunities.","Export market index constituents and their real-time quotes for portfolio tracking or rebalancing.","Integrate Vietnamese market data into a quantitative research pipeline or AI-driven analysis workflow."],"what_it_does":"Vnstock is a Python library that automates extraction of Vietnamese stock market data through a unified API. It provides access to equity prices (OHLCV), financial statements, company profiles, market indices, derivatives, ETFs, and macroeconomic indicators\u2014all returned as pandas DataFrames ready for analysis or export. The library abstracts away the complexity of scraping fragmented Vietnamese market data sources, letting you focus on building quantitative models, integrating analysis platforms, or exploring historical price trends.\n\nThe package is designed for individual investors and developers who want programmatic access to Vietnamese market data without writing custom scrapers. It supports modern Python versions (3.10+), integrates with pandas and seaborn for analysis and visualization, and is built to work with AI agents and \"vibe coding\" workflows. Rate limiting is enforced (20\u2013600 requests per minute depending on registration tier), and authentication is optional for basic use but recommended for higher throughput.","worth_installing":"Yes\u2014if your use case is personal research, education, or non-commercial analysis of Vietnamese markets. The library has low install friction, active maintenance, no known vulnerabilities, and a large API surface covering equities, indices, fundamentals, and macroeconomic data. However, verify the custom noncommercial license against your intended use; commercial applications require explicit permission. Rate limiting and API key registration may be necessary for production workloads."},"id":"vnstock","links":{"html":"https://skillfed.io/packages/vnstock","md":"https://skillfed.io/packages/vnstock.md","pypi":"https://pypi.org/project/vnstock/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-24","license_spdx":null,"license_treatment":"noncommercial","name":"vnstock","python_support":"supports_current","summary":"A beginner-friendly yet powerful Python toolkit for financial analysis and automation \u2014 built to make modern investing accessible to everyone"},"popularity":{"monthly_downloads":103773,"position":12786,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"4.0.5"}