# louisnw01/lightweight-charts-python

Python framework for TradingView's Lightweight Charts JavaScript library.

Repository: https://github.com/louisnw01/lightweight-charts-python
Canonical: https://ross.abutalabs.com/products/lightweight-charts-python
Language: TypeScript
License: MIT
License Family: permissive
Topics: plotting, python, tradingview, financial-charting-library, live-charts, charting-library, ohlc-chart
Last push: 2024-09-28T14:22:25+00:00

## Health v2 (maintenance only)
Score: 20/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 86
- inputs: {"age_days": 1211, "days_push": 704, "days_rel": 704, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2116, forks 431 (observed 2026-08-28T04:06:16.300844+00:00)

## What it is
A Python wrapper for TradingView's Lightweight Charts JavaScript library, providing a pythonic API for rendering financial charts. It supports live tick-data updates, multi-pane subcharts, drawing tools, and integrations with Jupyter, PyQt, wxPython, and Streamlit.

## Use cases
- plot candlestick charts from ohlcv data in python
- display live streaming stock price charts
- visualize trading data from a csv in jupyter
- build a trading dashboard with charts and watchlists
- draw trendlines on financial charts programmatically
- embed tradingview-style charts in a pyqt app

## When to choose
- you need TradingView Lightweight Charts from Python without writing JavaScript
- you want real-time updating candlestick or line charts
- you need charting inside Jupyter, PyQt, or Streamlit

## When to avoid
- you need static scientific plotting like matplotlib for non-financial data
- you need a full backtesting or trading engine rather than visualization
- you need highly customized charting beyond Lightweight Charts' capabilities

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, charts, gui
- domain: data-visualization, fintech
- platform: python, cross-platform
- tags: tradingview, financial-charting, ohlc, live-charts, candlestick, jupyter, pyqt, streamlit, python, desktop

## Member repositories
- louisnw01/lightweight-charts-python (main) score 20

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:16.300844+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:53:20.092776+00:00, confidence not recorded.
  - readme: https://github.com/louisnw01/lightweight-charts-python (fetched 2026-08-28T04:06:16.300844+00:00, sha b3fde5eade73)
- Data as of 2026-08-30T08:39:29.467469+00:00.