BlueAlliancePy

Python client for The Blue Alliance API v3. Typed, schema-validated, zero boilerplate.

Built for FRC Team 7563 (Megazord) scouting infrastructure.

Installation

pip install bluealliance

Or directly from the repository:

pip install git+https://github.com/Kaique-Sique/BlueAlliancePy.git

Quick start

Get your API key at https://www.thebluealliance.com/account.

from bluealliance import TBACollector

c = TBACollector("YOUR_TBA_KEY")

# team profile
team = c.team("frc7563")
print(team.nickname, team.city)  # Megazord, Jundiaí

# all teams at an event (typed, not raw dicts)
for team in c.event_teams("2025spbra"):
    print(team.team_number, team.nickname)

# live rankings
ranking = c.event_rankings("2025spbra")
if ranking:
    for entry in ranking.rankings[:5]:
        print(entry.rank, entry.team_key, entry.record)

# full event bundle in one call
bundle = c.event_bundle("2025spbra")
print(bundle.event.name)
print(f"{len(bundle.teams)} teams, {len(bundle.matches)} matches")

# 2025 Reefscape score breakdown already parsed
for match, bd in c.event_matches_2025("2025spbra"):
    if bd:
        coral = bd.red.autoCoralCount + bd.red.teleopCoralCount
        print(match.key, "red coral:", coral, "endgame:", bd.red.endGameRobot1)

Three layers

You can mix layers freely — TBACollector for most work, TBAClient when you need the raw payload for something not covered by the schemas.

Low-level client

from bluealliance import TBAClient

client = TBAClient("YOUR_TBA_KEY")

# returns raw dict/list -- no Pydantic parsing
raw = client.get_event_matches("2025spbra")
raw_team = client.get_team("frc7563")

Pydantic models directly

from bluealliance.schemas import Team, Match, ScoreBreakdown2025, parse_score_breakdown_2025

team = Team.model_validate(raw_dict)

match = Match.model_validate(raw_match_dict)
bd = parse_score_breakdown_2025(match.score_breakdown)
if bd:
    print(bd.red.totalPoints, bd.blue.endGameBargePoints)

Available collector methods

Status

• c.status() → APIStatus

Teams

• c.team(key) → Team
• c.team_simple(key) → TeamSimple
• c.team_history(key) → TeamHistory
• c.team_robots(key) → list[TeamRobot]
• c.team_awards(key, year?) → list[Award]
• c.team_media(key, year) → list[MediaBase]
• c.team_events(key, year?) → list[Event]
• c.team_matches(key, year) → list[Match]
• c.team_event_matches(key, event_key) → list[Match]
• c.team_event_status(key, event_key) → TeamEventStatus | None
• c.team_season_summary(key, year) → TeamSeasonSummary
• c.all_teams_by_year(year) → list[Team] (auto-paginates)

Events

• c.events(year) → list[Event]
• c.event(key) → Event
• c.event_teams(key) → list[Team]
• c.event_matches(key) → list[Match]
• c.event_matches_2025(key) → list[tuple[Match, ScoreBreakdown2025 | None]]
• c.event_rankings(key) → EventRanking | None
• c.event_oprs(key) → EventOPRs | None
• c.event_alliances(key) → list[EliminationAlliance] | None
• c.event_awards(key) → list[Award]
• c.event_teams_statuses(key) → dict[str, TeamEventStatus | None]
• c.event_bundle(key) → EventBundle

Matches

• c.match(key) → Match
• c.match_2025(key) → tuple[Match, ScoreBreakdown2025 | None]
• c.match_zebra(key) → Zebra

Districts

• c.districts(year) → list[District]
• c.district_rankings(key) → list[DistrictRanking] | None
• c.district_advancement(key) → dict[str, DistrictAdvancement] | None

Regional (2025+)

• c.regional_advancement(year) → dict[str, RegionalAdvancement] | None
• c.regional_rankings(year) → list[RegionalRanking] | None

Insights

• c.leaderboards(year) → list[LeaderboardInsight]
• c.insights_v2(year, category?) → list[InsightV2...]

Requirements

• Python 3.11+
• requests >= 2.32
• pydantic >= 2.7