2915 Open source projects that are alternatives of or similar to Sportsipy

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Command-line interface to PyPI Stats API to get download stats for Python packages

Get the Github traffic for the specified repository

Carefully curated resource links for data science in one place

Phishing Domains, urls websites and threats database. We use the PyFunceble testing tool to validate the status of all known Phishing domains and provide stats to reveal how many unique domains used for Phishing are still active.

📊 Request statistics middleware that stores response times, status code counts, etc

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🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.

An API Client package to access the APIs for NBA.com

Multi-class confusion matrix library in Python

A small library that does the statistics for your numbers.

A Node.js wrapper for the new MLB Stats API.

A C++ header-only library of statistical distribution functions.

Github language, repo and developer stats for Turkey.

▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.

🏀 Visualization of NBA games from raw SportVU data logs

Create HTML profiling reports from pandas DataFrame objects

A Node.js library for current and historical NBA stats, scores, and data.

superseriousstats is a fast and efficient program to create statistics out of various types of chat logs

✨ Standard library for JavaScript and Node.js. ✨

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

📊 A CLI application that fetches stats from developer sites

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

📈 npm package statistics dashboard build with vue

The Cognitive Foundry is an open-source Java library for building intelligent systems using machine learning

NBA sports betting using machine learning

Feature requests for the MySportsFeeds Sports Data API.

MongoDB Info - command line tool to get stats.

React components for NBA team logos 🏀

A powerful tool to easily generate beautiful HTML documentation from JavaScript (JSDoc), Markdown and HTML files.

Pretty CSS analytics on the CLI

Fortnite API, Get Stats, News And Status

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Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

A Python based monitoring and tracking tool for Plex Media Server.

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

TeaWeb-可视化的Web代理服务。DEMO: http://teaos.cn:7777

Node.js client for nba.com API endpoints

Thot toolkit for statistical machine translation

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A well tested and comprehensive Golang statistics library package with no dependencies.

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

🍿 The perfect Checklist Website for meticulous developers.

Simple and efficient way to show information about Memcache.

This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Repository which contains various scripts and work with various basketball statistics

Ruby gem for some statistical operations without any statistical language dependency

🔥🔥🔥本项目包括各种基本控件使用（Text、TextField、Icon、Image、Listview、Gridview、Picker、Stepper、Dialog、Slider、Row、Appbar、Sizebox、BottomSheet、Chip、Dismissible、FlutterLogo、Check、Switch、TabBar、BottomNavigationBar、Sliver等）、豆瓣电影、tubitv、每日一文、和天气、百姓生活、随机诗词、联系人、句子迷、好奇心日报、有道精品课、高德定位、音乐播放器🎵、追书神器等板块

Analytics for CSS

Training Diary

A Ruby API for using the Major League Baseball Gameday statistics data. MLB provides very deep statistics for all major league baseball games through Gameday. Statistics include not only the typical boxscore stats, but also down to the physics of every single pitch thrown in the game. You can find the speed, movement, and position of every pitch thrown. The Gameday API makes it easy for Ruby developers to work with all this statistical information. The test directory included with the source code contains many examples of how the API can be used. If you prefer to use SVN, the gameday_api is also available via an SVN repository at: http://code.google.com/p/gamedayapi/ If you like this project, be sure to also check out the Baseball-Tracker project also hosted on GitHub. Baseball-Tracker is a web application that uses the gameday_api. You can find a hosted version of Baseball Tracker at http://baseballstatz.heroku.com

Curated list of Python resources for data science.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

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Twitter's Anomaly Detection in Pure Python