View soccerdata on Snyk Open Source Advisor

Package Health Score

78 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Active

Popularity

Small

GitHub Stars: 633
Forks: 108
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package soccerdata, we found that it has been starred 633 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 4, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 20
Open PR: 6
Last Release: 22 days ago
Last Commit: 4 days ago

Further analysis of the maintenance status of soccerdata based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that soccerdata demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the soccerdata repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like soccerdata is missing a Code of Conduct.

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Package

Python Versions Compatibility: <3.13,>=3.9

Age: 3 years
Latest Release: 22 days ago
Dependencies: 0 Direct
Versions: 33
Maintainers: 1
Wheels: OS Independent

Readme

SoccerData is a collection of scrapers to gather soccer data from popular websites, including Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored. You get Pandas DataFrames with sensible, matching column names and identifiers across datasets. Data is downloaded when needed and cached locally.

import soccerdata as sd

# Create a scraper class instance for the 2018/19 Premier League
five38 = sd.FiveThirtyEight('ENG-Premier League', '1819')

# Fetch data
games = five38.read_games()
forecasts = five38.read_forecasts()
clinches = five38.read_clinches()

To learn how to install, configure and use SoccerData, see the Quickstart guide. For documentation on each of the supported data sources, see the example notebooks and API reference.

Usage Notice: Please use this web scraping tool responsibly and in compliance with the terms of service of the websites you intend to scrape. The software is provided as-is, without any warranty or guarantees of any kind. The developers disclaim any responsibility for misuse, legal consequences, or damages resulting from its use. It is your responsibility to use the software in accordance with the laws and regulations of your jurisdiction.

Contribution and Issues: As soccerdata relies on web scraping, any changes to the scraped websites will break the package. Hence, do not expect that all code will work all the time. If you spot any bugs, then please fork it and start a pull request.

FAQs

What is soccerdata?

A collection of wrappers over soccer data from various websites / APIs. Visit Snyk Advisor to see a full health score report for soccerdata, including popularity, security, maintenance & community analysis.

Is soccerdata popular?

The python package soccerdata receives a total of 886 weekly downloads. As such, soccerdata popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is soccerdata well maintained?

We found that soccerdata demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is soccerdata safe to use?

The python package soccerdata was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 23 November-2024, at 03:45 (UTC).

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soccerdata

A collection of wrappers over soccer data from various websites / APIs. For more information about how to use this package see README

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Package Health Score

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Readme

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Readme

FAQs

What is soccerdata?

Is soccerdata popular?

Is soccerdata well maintained?

Is soccerdata safe to use?

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Source Code

Open Source

Container

Config

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