{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"Generates publication-quality static financial charts for Vietnamese stock markets using Matplotlib and Seaborn, with built-in theming, logo branding, and support for technical analysis indicators.","skillfed_tags":["financial-charting","vietnamese-markets","ai-agent-ready"],"use_cases":["Generate high-resolution technical analysis charts with multiple overlaid indicators (Ichimoku, Bollinger Bands, MACD) for embedding in research reports.","Automate daily portfolio performance and risk dashboards, then send chart images to investors via Telegram or Discord.","Create backtesting visualizations showing candlesticks, volume, entry/exit signals, and equity curves on a shared timeline.","Build branded stock summary cards with current price, change, and key metrics using a consistent corporate theme.","Feed static chart images to AI agents for visual analysis of market trends and trading signals.","Generate academic-style financial charts for papers and theses with publication-quality aesthetics and no browser dependency."],"what_it_does":"vnstock_ezchart is a charting library purpose-built for Vietnamese financial markets, wrapping Matplotlib, Seaborn, and mplfinance to generate static, publication-ready charts. It addresses the friction of repeatedly writing chart code or prompting AI to generate visualizations from scratch by providing pre-styled templates, global theming, and logo injection. The library supports technical analysis indicators, portfolio allocation views, backtesting visualization, and stock summary cards\u2014all with consistent branding and minimal setup.\n\nThe package is optimized for three workflows: embedding high-resolution charts in research reports and printed documents, automating portfolio reports for distribution via chat platforms (Telegram, Discord, Zalo), and providing static images to AI agents for visual analysis. It includes multiple built-in themes (vnstock, academic, minimal, flatui) and allows custom color palettes with semantic ordering (growth, primary, warning, decline). Runtime dependencies are standard data-science tools (numpy, pandas, matplotlib, seaborn, requests, openpyxl, cycler, mplfinance) plus vnstock for market data.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, uses permissive MIT licensing, and solves a real problem\u2014eliminating repetitive chart styling for Vietnamese stock market analysis. Low install friction and broad Python version support (3.10\u20133.14) make adoption straightforward. Best suited for teams automating investment reports, researchers embedding charts in documents, or developers building AI-agent-driven trading systems. Start with the built-in themes; custom branding and multi-layer indicator support justify the dependency footprint."},"id":"vnstock-ezchart","links":{"html":"https://skillfed.io/packages/vnstock-ezchart","md":"https://skillfed.io/packages/vnstock-ezchart.md","pypi":"https://pypi.org/project/vnstock-ezchart/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-17","license_spdx":"MIT","license_treatment":"permissive","name":"vnstock-ezchart","python_support":"supports_current","summary":"A production-ready, AI-agent-friendly charting toolkit for Vietnamese financial markets \u2014 built on Matplotlib, Seaborn & mplfinance with a Soft Premium styling engine, branded logo injection, and 20+ publication-quality chart types out of the box"},"popularity":{"monthly_downloads":103257,"position":12819,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.2"}