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$ show Guovin/iptv-api

[account ↗] [repo ↗] APPLICATION ★ 25531 7543 ● active (last update 5 days ago)
reviewed by: nvidia/nemotron-3-super-120b-a12b

This repository is an IPTV live-source automation tool that collects, tests, and aggregates TV channel streams from various sources (local files, subscriptions, EPG). It provides multiple interfaces: a CLI for updating channel lists, a REST API for serving M3U/TXT playlists, an RTMP/HLS streaming service for relaying channels, and desktop GUIs (Qt and Tkinter) for configuration and monitoring. The application is modular, with separate components for data fetching, channel testing, result aggregation, streaming, and GUI. It uses Docker for easy deployment and includes features like automatic speed testing, resolution filtering, whitelist/blacklist management, and EPG integration. The code demonstrates strong engineering practices with reusable components such as a structured reporting system, adaptive performance tuning, smart URL freezing with backoff, and cross-platform process handling.

RATING8.9/10
QUALITY8.0/10
MAINTENANCEactive
DRIFTlow
CONTRIBUTORS6
VELOCITY0.99
OPEN ISSUES0
CLOSED ISSUES401
LAST COMMIT5 days ago
Files by Type (count)
Python
133
Other (.png)
70
YAML
13
Markdown
12
Text
7
Other (no ext)
3
JSON
3
Other (.template)
3
Other (.jpg)
3
Other (.svg)
3
HTML
3
Other (.swf)
3
Files by Type (size)
Other (.ipdb)
38MB
Other (.png)
9MB
Other (.exe)
3MB
Python
1MB
Other (.swf)
1MB
Other (.icns)
1MB
Markdown
301KB
Lock File
233KB
Text
182KB
Other (.jpg)
181KB
Other (.ico)
161KB
JSON
93KB

The LLM identified 4 files worth highlighting for reuse:

Provides a flexible reporting system with support for console, file, and JSONL outputs. Includes progress tracking, task grouping, and automatic log rotation. Designed for extensibility and reuse in other projects with minimal dependencies.

file: utils/reporting.py ↗ | tags: #logging #progress-tracking #structured-logs

Implements dynamic concurrency adjustment based on system CPU and memory usage. Automatically scales worker counts to optimize resource utilization without overloading the system. Self-contained and easily integrable into any asyncio-based project requiring adaptive parallelism.

file: utils/performance.py ↗ | tags: #performance-tuning #concurrency #auto-scaling

Generates stable, collision-resistant identifiers for resources (like channel URLs) using SHA-256 of normalized URL and headers. Enables reliable caching and deduplication across runs and sources. Independent of external dependencies and suitable for any web resource tracking scenario.

file: utils/identity.py ↗ | tags: #hashing #caching #resource-identification

Offers cross-platform subprocess creation with special handling for windowless execution on Windows. Abstracts platform-specific flags and provides a clean interface for launching and managing external processes. Zero internal dependencies beyond the standard library and platform module.

file: utils/process.py ↗ | tags: #subprocess #cross-platform #windowless
Last analyzed: 2026-08-24 04:43:52.579706
Next check: 2026-10-12 07:00:44.748451
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