sportsdataverse/sportsdataverse-py
sportsdataverse python package
⚡ Executive Summary & Quick Facts
Authoritative Sourcesportsdataverse-py is sportsdataverse-py is an open-source project written in Python: sportsdataverse python package..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), sportsdataverse/sportsdataverse-py has accumulated 122 GitHub stars and 19 forks. It is written in Python, licensed under MIT, and ranks #19,837 globally. It is actively maintained with the latest commit recorded on Oct 12, 2026.”
| Repository | sportsdataverse/sportsdataverse-py ↗ |
|---|---|
| Primary Category | cfb data |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 122 stars · ⑂ 19 forks · #19,837 globally |
| Maintenance | ● Active (Last commit: Oct 12, 2026) · 14 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 88/100 · Grade AYes, sportsdataverse-py is actively maintained. Continuous telemetry recorded the last code commit on Oct 12, 2026 (17 days ago). Supported by 122 stars and 19 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,581
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
sportsdataverse-py gained 10 stars in the last 30 days, about 1 a day, and now has 122. It is about 5 years old and has averaged roughly 24 stars a year. It ranks #2,581 among Python repositories and #19,837 across all languages on GitHubRepo.
Trending Record
17
DAYS ON TRENDING
#13301
BEST RANK
Oct 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
sportsdataverse-py has maintained a continuous presence across global trending indexes, peaking at #13301. Below is the 30-day activity profile:
💡 Overview
sportsdataverse-py is an open-source project written in Python: sportsdataverse python package.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cfb-data, college-basketball, college-football. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install sportsdataverse-py⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
sportsdataverse-py coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed sportsdataverse-py into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install sportsdataverse-py using your package manager: `pip install sportsdataverse-py`
Initialize your project workspace or configuration file for sportsdataverse-py.
Import sportsdataverse-py into your codebase or invoke it directly from your terminal.
Execute your test suite or run `sportsdataverse-py --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
sportsdataverse/sportsdataverse-py is currently ranked #19,837 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
| #19,771 | sumuru789/DK-VLM | Python | ★ 123 | Compare ↗ |
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| #19,771 | Jakeschincariol/console-skill | Python | ★ 123 | Compare ↗ |
| #19,837 | sportsdataverse/sportsdataverse-py This Project | Python | ★ 122 | |
| #19,837 | vigetlabs/acts_as_markup | Ruby | ★ 122 | Compare ↗ |
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Frequently Asked Questions
What does sportsdataverse-py do? +
sportsdataverse python package
Is sportsdataverse-py actively maintained in 2026? +
Yes, sportsdataverse-py is actively maintained. The latest code push was recorded on Oct 12, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 122 stars and 14 open issues.
What language is sportsdataverse-py written in? +
The primary language is Python. Topics include: cfb-data, college-basketball, college-football, data-science, espn.
How many stars does sportsdataverse-py have? +
sportsdataverse-py has 122 stars and 19 forks on GitHub.
How does sportsdataverse-py rank among GitHub repositories? +
With 122 stars, sportsdataverse/sportsdataverse-py is ranked #19,837 globally across all repositories tracked on GitHubRepo and #2,581 among Python projects.
What license is sportsdataverse-py distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
