nfldb3

v0.0.1

A library to manage and update NFL data in a Postgres database updated for Python 3.8. Based on code written byAndrew Gallant. For more information about how to use this package see README

Latest version published 5 years ago

License: Unlicense

PyPI

GitHub

Package Health Score

48 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Limited

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Popularity

Small

GitHub Stars: 1.07K
Forks: 263
Contributors: 3

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package nfldb3, we found that it has been starred 1,072 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Feb 21, 2020
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Unlicense

Security Policy

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 110
Open PR: 7
Last Release: 5 years ago
Last Commit: 7 years ago

Further analysis of the maintenance status of nfldb3 based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for nfldb3 is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 3
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: ==3.8.*

Age: 5 years
Latest Release: 5 years ago
Dependencies: 4 Direct / 8 Total
Versions: 1
Maintainers: 1
Wheels: OS Independent

Readme

Module nfldb provides command line tools and a library for maintaining and querying a relational database of play-by-play NFL data. The data is imported from nflgame, which in turn gets its data from a JSON feed on NFL.com's live GameCenter pages. This data includes, but is not limited to, game schedules, scores, rosters and play-by-play data for every preseason, regular season and postseason game dating back to 2009.

Here is a small teaser that shows how to use nfldb to find the top five passers in the 2012 regular season:

#!python
import nfldb

db = nfldb.connect()
q = nfldb.Query(db)

q.game(season_year=2012, season_type='Regular')
for pp in q.sort('passing_yds').limit(5).as_aggregate():
    print pp.player, pp.passing_yds

And the output is:

[andrew@Liger ~] python2 top-five.py
Drew Brees (NO, QB) 5177
Matthew Stafford (DET, QB) 4965
Tony Romo (DAL, QB) 4903
Tom Brady (NE, QB) 4799
Matt Ryan (ATL, QB) 4719

In theory, both nfldb and nflgame provide access to the same data. The difference is in the execution. In order to search data in nflgame, a large JSON file needs to be read from disk and loaded into Python data structures for each game. Conversely, nfldb's data is stored in a relational database, which can be searched and retrieved faster than nflgame by a few orders of magnitude. Moreover, the relational organization of data in nfldb allows for a convenient query interface to search NFL play data.

The database can be updated with real time data from active games by running the nfldb-update script included with this module as often as you're comfortable pinging NFL.com. (N.B. The JSON data itself only updates every 15 seconds, so running nfldb-update faster than that would be wasteful.) Roster updates are done automatically at a minimum interval of 12 hours.

nfldb has comprehensive API documentation and a wiki with examples.

nfldb can be used in conjunction with nflvid to search and watch NFL game footage.

If you need help, please join us at our IRC channel #nflgame on FreeNode.

nfldb3 dependencies

enum34 nflgame psycopg2 pytz

FAQs

What is nfldb3?

A library to manage and update NFL data in a Postgres database updated for Python 3.8. Based on code written byAndrew G... Visit Snyk Advisor to see a full health score report for nfldb3, including popularity, security, maintenance & community analysis.

Is nfldb3 popular?

The python package nfldb3 receives a total of 15 weekly downloads. As such, nfldb3 popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is nfldb3 well maintained?

We found indications that nfldb3 is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is nfldb3 safe to use?

The python package nfldb3 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 12 November-2024, at 00:29 (UTC).

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