Python framework for TradingView's Lightweight Charts JavaScript library.

An Experimental Python Wrapper For Tradingview's Lightweight-Charts To Be Used In Notebook Environments (Google Colab).

Python wrapper to plot candlestick data using tradingview lightweight charts

Python backtesting platform with CLI & interactive web charts (Backtrader, Flask, Lightweight Charts).

Python adaptor for TradingView Lightweight Charts

A lightweight Python MCP server that fetches TradingView chart snapshots using Playwright for fast, secure, and customizable browser automation.

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這是一個使用https://github.com/louisnw01/lightweight-charts-python實作的手動回測軟體

A lightweight Python CLI that turns Xiaomi Mi Fitness exports into yearly activity, sleep, and heart‑rate stories with Matplotlib xkcd‑style charts.

A lightweight crypto scalping analysis system featuring real-time charts, multi-indicator analysis, and dynamic SL/TP. Built entirely with Python standard libraries (zero-dependency).

bbcstyle is a lightweight Python package that applies a BBC-inspired visual theme to Matplotlib and Seaborn plots. It helps you create clean, publication-ready charts with consistent typography, minimalist gridlines, and optional source annotations or logos. Inspired by the R package bbplot.

Experimental tradingview lightweight charts in python for the use in notebooks.

A lightweight chart analysis tool written entirely in vanilla python (maybe)!

A lightweight, terminal-based tool that instantly converts text-based task lists into visual Gantt charts using Python and Matplotlib.

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Python framework for TradingView's Lightweight Charts JavaScript library.

TradingView charts using Lightweight-chart using Python

Lightweight Python package for creating synoptic-style meteorological charts

A lightweight analytics copilot for instant exploratory data analysis (EDA) using LLM-powered insights, Python-based charting, and exportable reports.

A lightweight Python script that reads a CSV file and generates basic data visualizations (bar chart, line graph) using matplotlib.

A lightweight Python tool that parses and visualises Ubuntu's auth.log and UFW firewall logs to detect authentication failures, blocked IPs, and suspicious activity, generating automated charts and JSON reports.

Sebuah dashboard trading realtime built dengan Next.js + React + TypeScript yang menggabungkan chart interaktif (lightweight-charts), analisis teknikal otomatis, dan bot trading Python (FastAPI + CCXT). Proyek ini dibuat untuk eksperimen perdagangan algoritmik, visualisasi pasar, dan integrasi AI untuk analisis sentimen.

A lightweight Python app that manages and analyzes student exam marks using classic DSA (linked list, stack, sorting, searching). Includes undo, JSON/SQLite persistence, CLI, Tkinter & Flask UIs, and matplotlib charts. Perfect for showcasing data structures, algorithms, and full-stack Python skills.

tv chart lightweight charts tradingview repository contains Python code for implementing trading strategies in MetaTrader 5 (MT5) using a variety of functions and classes. The project utilizes a combination of existing libraries and custom-coded functionalities to provide an efficient and versatile framework for developing and deploying trading

🖥️ Activity Tracker is a lightweight Python app that tracks screen time, typing speed (WPM), and browsing history to monitor productivity. Includes a Flask-based dashboard with charts for visual analysis. Works locally using SQLite and supports Chrome, Edge, and Firefox.

a lightweight desktop app for researching US stock options with interactive candlestick charts, SMA overlays, and sortable options chains. Built with Python/Tkinter and yfinance, it supports saved tickers, configurable data sources, and a small updater script to populate top S&P names for quick analysis.

5 Minute Watcher is a lightweight, self-hosted system monitoring tool built with Python, Flask, WebSockets, and Chart.js. It provides real-time system metrics in a clean web dashboard, updating every second and retaining up to the last 5 minutes of data.

A lightweight Python-based network monitoring dashboard that scans local devices, tracks uptime, detects open ports, and visualizes real-time availability through a web interface built with Flask and Chart.js. Designed for IT students and professionals who want a practical, scalable tool for network supervision.

The **Expense Tracker** is a simple Python CLI app to **add, view, and analyze** expenses. It stores data in a **CSV file** and categorizes spending (Food, Travel, Bills, etc.). A report shows total expenses per category, with Matplotlib visualizing the data in a bar chart. Lightweight and easy to use, it helps users track finances efficiently.