sportsdatasets
The sportsdatasets package provides a curated collection of sports-related datasets from around the world, designed for data analysis, sports analytics, and education in Python.
It includes extensive data on football player statistics, international tournament rosters, and volleyball player performance, sourced from competitions and leagues such as the UEFA EURO 2024 and official FIVB events.
Installation
You can install the sportsdatasets package from PyPI:
pip install sportsdatasets
Usage
import sportsdatasets as spd
# List all available datasets
datasets = spd.list_datasets()
print(datasets)
# Load a specific dataset
df = spd.load_dataset('football_players')
print(df.head())
📊 Some Available Datasets
Sports-Related Datasets
| Dataset | Description |
|---|---|
football_players |
Statistics for around 3,000 football players, including age, overall rating, potential, and team details |
euro2024_players |
Statistics for all players in the UEFA EURO 2024 squads, including position, age, club, and height |
volleyball_players |
Statistics for FIVB women's volleyball players who participated in official FIVB competitions |
The sportsdatasets library is released under the MIT License, allowing free use for both commercial and non-commercial purposes.
Metadata
Release files for sportsdatasets 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| sportsdatasets-0.1.0.tar.gz | 339.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sportsdatasets-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 676.5 kB
Release files / sportsdatasets-0.1.0.tar.gz
| Download URL | sportsdatasets-0.1.0.tar.gz |
|---|---|
| Size | 339.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ab2f97bbca2288c5d650f98ab200953f24c5849491e2a0070d45e5566f0bdd10
|
|
BLAKE2b-256 checksum How to use checksums |
e3a8ee20da6d149893df80be4e51eb9d088df549c917bc41ec065572e66ff0ac
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Release files / sportsdatasets-0.1.0-py3-none-any.whl
| Download URL | sportsdatasets-0.1.0-py3-none-any.whl |
|---|---|
| Size | 336.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a82f2ddcc0d562e805194f638486cc7f660b84a984387739ebde41eb9e979d9c
|
|
BLAKE2b-256 checksum How to use checksums |
4585ae948bb87780d120ebc0449ecb37257a0a650d0d6a5c14b953204ff5ce04
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Security for sportsdatasets 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.