Skip to main content

Edgework - NHL API Client

A Python client library for interacting with NHL APIs, providing easy access to player statistics, team information, schedules, and more.

🏒 Features

  • Player Data: Access active and historical player information
  • Statistics: Get skater and goalie statistics with flexible filtering
  • Team Information: Retrieve team rosters, stats, and schedules
  • Game Data: Access game schedules and results
  • Easy to Use: Simple, intuitive API with comprehensive documentation

📦 Installation

pip install edgework

🚀 Quick Start

from edgework import Edgework

# Initialize the client
client = Edgework()

# Get active players
players = client.players(active_only=True)
print(f"Found {len(players)} active players")

# Get top scorers
top_scorers = client.skater_stats(
    season="2023-2024",
    sort="points",
    limit=10
)

for player in top_scorers:
    print(f"{player.name}: {player.points} points")

📚 Documentation

Full documentation is available at: https://problemxl.github.io/edgework/

Local Documentation

To view documentation locally:

# Install documentation dependencies
pip install mkdocs mkdocs-material mkdocstrings[python] pymdown-extensions

# Serve documentation locally
mkdocs serve

# Or use the helper script
python docs.py serve

The documentation will be available at http://127.0.0.1:8000/edgework/

🔧 API Reference

Main Client

from edgework import Edgework

client = Edgework(user_agent="MyApp/1.0")  # Optional custom user agent

Player Methods

  • client.players(active_only=True) - Get player list
  • client.skater_stats(season, ...) - Get skater statistics
  • client.goalie_stats(season, ...) - Get goalie statistics

Team Methods

  • client.team_stats(season, ...) - Get team statistics
  • client.get_teams() - Get all teams
  • client.get_roster(team_code, season) - Get team roster

Schedule Methods

  • client.get_schedule() - Get current schedule
  • client.get_schedule_for_date(date) - Get schedule for specific date
  • client.get_schedule_for_date_range(start, end) - Get schedule for date range

🛠️ Development

Setting up Development Environment

# Clone the repository
git clone https://github.com/problemxl/edgework.git
cd edgework

# Install development dependencies
pdm install --dev

# Or using pip
pip install -e .

Running Tests

pytest

Building Documentation

# Install documentation dependencies
pip install mkdocs mkdocs-material mkdocstrings[python] pymdown-extensions

# Build documentation
mkdocs build

# Serve locally
mkdocs serve

📊 Examples

Getting Player Statistics

from edgework import Edgework

client = Edgework()

# Get assists leaders
assist_leaders = client.skater_stats(
    season="2023-2024",
    sort="assists",
    limit=10
)

# Get goalie wins leaders
goalie_wins = client.goalie_stats(
    season="2023-2024",
    sort="wins",
    limit=5
)

Working with Teams

# Get team statistics
team_stats = client.team_stats(season="2023-2024")

# Get team roster
team = team_stats[0]  # First team
roster = team.get_roster()

print(f"Roster for {team.name}:")
print(f"Forwards: {len(roster.forwards)}")
print(f"Defensemen: {len(roster.defensemen)}")
print(f"Goalies: {len(roster.goalies)}")

🎯 Season Format

All season parameters should use the format "YYYY-YYYY":

  • "2023-2024" for the 2023-2024 season
  • "2022-2023" for the 2022-2023 season

🤝 Contributing

Contributions are welcome! Please see our Contributing Guide for details.

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

⚡ API Rate Limiting

Please be respectful of the NHL's servers:

  • Implement appropriate delays between requests
  • Cache responses when possible
  • Handle errors gracefully

🙏 Acknowledgments

  • NHL for providing the API data
  • Contributors and maintainers
  • The Python community

📞 Support


Made with ❤️ for the hockey community

Metadata

Release files for edgework 0.11.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for edgework 0.11.0
File Size Uploaded
edgework-0.11.0.tar.gz 259.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for edgework 0.11.0
File Interpreter ABI Platform
edgework-0.11.0-py3-none-any.whl Python 3 none any Details

Total release size: 346.6 kB

Release files / edgework-0.11.0.tar.gz

Download URL edgework-0.11.0.tar.gz
Size 259.3 kB
Tags Source
SHA-256 checksum
How to use checksums
0d97364e965aa7fb94604be28e38c4911f0064d31528de337ae62d48e9079855
BLAKE2b-256 checksum
How to use checksums
4e7323709fe1aef87641094eb73225a4c4287d7f13d89eacf2b43795f9fe940c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 28, 2026.

Transparency log

Release files / edgework-0.11.0-py3-none-any.whl

Download URL edgework-0.11.0-py3-none-any.whl
Size 87.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1d260ad4be21b0ea9120b8a7bc7d0fdfd8626bf1ee5321d9922b0dd62ccfd562
BLAKE2b-256 checksum
How to use checksums
242e944fe486e3dccb0882cfa3ea133d19a4e62b7922165e2e2dcb7c2013a9ca
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 28, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.11.0 This release

2 release files

0.10.1

2 release files

0.10.0

2 release files

0.6.0

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.9

2 release files

0.4.8

2 release files

0.4.7

2 release files

0.4.6

2 release files

0.4.5

2 release files

0.4.4

2 release files

0.4.3

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page