awesome-repositories.com
Blog
MCP
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoServidor MCPAcerca deCómo clasificamosPrensa
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
homerchen19 avatar

homerchen19/nba-go

0
View on GitHub↗
3,716 estrellas·218 forks·JavaScript·MIT·6 vistaswww.npmjs.com/package/nba-go↗

Nba Go

nba-go is a basketball analytics tool and data aggregator that provides a command line interface for retrieving professional basketball league information, player statistics, and team performance metrics.

The application enables game analysis through team statistics comparisons and pregame metric evaluations to predict outcomes. It also provides player analysis utilities to evaluate and compare athletic performance metrics across multiple individuals.

The tool covers a broad range of data retrieval capabilities, including game schedules, live scoreboards with play-by-play updates, and post-game box scores. It additionally supports the retrieval of player profiles and comprehensive performance statistics for both regular seasons and playoffs.

Features

  • Basketball Analytics Tools - Provides a terminal-based application for comparing team strengths and analyzing player statistics to predict game outcomes.
  • Post-Game Result Analysis - Comparing team statistics and field goal percentages to predict outcomes or evaluate post-game box scores.
  • Pregame Outcome Predictions - Sports Data Integration analyzes team statistics and field goal percentages to predict outcomes for upcoming matchups.
  • Sports Statistics Retrieval - Programmatically retrieves NBA game schedules, player profiles, and athletic metrics from APIs.
  • Sports Statistics Tracking - Fetches and analyzes player and team performance data for NBA regular seasons and playoffs.
  • Team Performance Comparisons - Sports Data Integration analyzes pregame metrics and averages between opposing teams to evaluate relative strengths.
  • Sports Statistics CLIs - Provides a command line interface for retrieving real-time NBA game data and player statistics.
  • Real-Time Score Monitoring - Tracks live NBA scoreboards and play-by-play updates in real time.
  • Sports - Fetches and organizes professional basketball league information including schedules, box scores, and player profiles.
  • Sports Performance Analytics - Evaluates statistics across multiple players to identify superior metrics for performance comparison.
  • Live Game Data Streaming - Streams real-time scoreboards and play-by-play updates for games currently in progress.

Historial de estrellas

Gráfico del historial de estrellas de homerchen19/nba-goGráfico del historial de estrellas de homerchen19/nba-go

Búsqueda con IA

Explora más repositorios increíbles

Describe lo que necesitas en lenguaje sencillo: la IA clasifica miles de proyectos open-source curados por relevancia.

Start searching with AI

Alternativas open-source a Nba Go

Proyectos open-source similares, clasificados según cuántas características comparten con Nba Go.
  • swar/nba_apiAvatar de swar

    swar/nba_api

    3,441Ver en GitHub↗

    This project is a Python library that wraps official NBA endpoints to retrieve player, team, and game statistics as structured data. It serves as a programmatic interface for fetching professional basketball league records and real-time scoreboards via HTTP requests. The library integrates with Pandas to transform raw JSON responses from sports servers into DataFrames for statistical analysis and data science. It functions as a data retrieval utility for tracking league-wide performance trends and scouting professional basketball players. The tool covers a broad range of capabilities includi

    Pythonanalysisapi-clientbasketball-stats
    Ver en GitHub↗3,441
  • topfunky/hppleAvatar de topfunky

    topfunky/hpple

    2,880Ver en GitHub↗

    This project is a multi-purpose toolkit comprising a static site generator, a predictive modeling tool, and a sports analytics dashboard. It functions as a content syndication engine that converts source files into static HTML and machine-readable XML streams for blogs and professional portfolios. The system features a data processing engine designed for sports performance analytics, using linear and logistic regression to estimate season win totals and calculate win probabilities. It includes a time-series visualization framework that renders these performance trends using high-contrast them

    Objective-C
    Ver en GitHub↗2,880
  • michael/githubAvatar de michael

    michael/github

    3,729Ver en GitHub↗

    This project is a GitHub API client and resource manager designed for interacting with GitHub REST and GraphQL APIs. It serves as a programmatic interface for automating the management of repositories, issues, and pull requests. The library functions as a workflow automation tool, providing a simplified interface to handle repository data and account settings. It enables the creation of custom scripts to streamline repetitive tasks and data retrieval from the GitHub platform. The implementation provides a wrapper for external API calls that operates across both browser and server environment

    JavaScript
    Ver en GitHub↗3,729
  • ice-hazymoon/mikutoolsAvatar de Ice-Hazymoon

    Ice-Hazymoon/MikuTools

    4,366Ver en GitHub↗

    MikuTools is a multi-purpose web utility suite and AI multimedia generation platform. It provides a collection of lightweight, browser-based tools for creating and editing images, video, and audio using various artificial intelligence models. The platform distinguishes itself through integrated AI content translation and editing capabilities, including face swapping, background removal, high-resolution upscaling, and voice cloning. It also enables the generation of professional digital assets such as business cards, email signatures, and stylized code screenshots. The toolkit covers a broad

    JavaScriptmikutoolstools
    Ver en GitHub↗4,366
Ver las 30 alternativas a Nba Go→

Preguntas frecuentes

¿Qué hace homerchen19/nba-go?

nba-go is a basketball analytics tool and data aggregator that provides a command line interface for retrieving professional basketball league information, player statistics, and team performance metrics.

¿Cuáles son las características principales de homerchen19/nba-go?

Las características principales de homerchen19/nba-go son: Basketball Analytics Tools, Post-Game Result Analysis, Pregame Outcome Predictions, Sports Statistics Retrieval, Sports Statistics Tracking, Team Performance Comparisons, Sports Statistics CLIs, Real-Time Score Monitoring.

¿Qué alternativas de código abierto existen para homerchen19/nba-go?

Las alternativas de código abierto para homerchen19/nba-go incluyen: swar/nba_api — This project is a Python library that wraps official NBA endpoints to retrieve player, team, and game statistics as… topfunky/hpple — This project is a multi-purpose toolkit comprising a static site generator, a predictive modeling tool, and a sports… michael/github — This project is a GitHub API client and resource manager designed for interacting with GitHub REST and GraphQL APIs.… ice-hazymoon/mikutools — MikuTools is a multi-purpose web utility suite and AI multimedia generation platform. It provides a collection of… plexguide/huntarr.io — Huntarr.io is a sports data dashboard, match tracker, and streaming aggregator. It functions as a centralized sports… rest-client/rest-client — This is a Ruby HTTP client designed for REST API integration, resource modeling, and automated network communication.…