scope3track 1.2.2

Carbon and Scope 3 emissions tracking — GHG Protocol, emission hotspot analysis, Net Zero roadmap generation, SBTi alignment, CSRD-ready reporting

scope3track

Carbon and Scope 3 emissions tracking for SMBs and enterprise supply chains — GHG Protocol-compliant calculations, supplier-level tracking, CSRD-ready reporting.

Enterprise carbon tools cost $30K–$150K/year. scope3track brings the same capability to Python developers for free.

The Problem

EU CSRD enforcement + enterprise Scope 3 requirements are now cascading to SMB suppliers. Companies are required to report their full value-chain emissions. Enterprise tools cost $30K–$150K/year — nothing exists at the $99–$499/mo SMB price point.

Installation

pip install scope3track

Quick Start

from scope3track import EmissionCalculator, EmissionScope, Scope3Category
from datetime import datetime

calc = EmissionCalculator()

# Calculate Scope 3 Category 4: upstream transport
transport_entry = calc.calculate(
    entry_id="ENT-001",
    scope=EmissionScope.SCOPE3,
    category=Scope3Category.UPSTREAM_TRANSPORT,
    source="Freight — Shanghai to LA",
    activity_amount=5000,    # kg of freight
    activity_unit="kg",
    factor_key="km_road_freight_hgv",
    period_start=datetime(2025, 1, 1),
    period_end=datetime(2025, 3, 31),
    supplier_id="SUPPLIER-CN-01",
)

print(f"{transport_entry.emissions_kg_co2e:.2f} kg CO2e")

Build a Full Report

entries = [
    calc.calculate("e1", EmissionScope.SCOPE1, "Natural gas heating", 10000, "kwh", "kwh_natural_gas", period_start=..., period_end=...),
    calc.calculate("e2", EmissionScope.SCOPE2, "Office electricity", 50000, "kwh", "kwh_electricity_us", period_start=..., period_end=...),
    calc.calculate("e3", EmissionScope.SCOPE3, "Employee commuting", 200000, "km", "km_passenger_car", category=Scope3Category.EMPLOYEE_COMMUTING, period_start=..., period_end=...),
]

report = calc.build_report(
    company_id="ACME-INC",
    reporting_year=2025,
    entries=entries,
)

print(report.summary())
# {'company_id': 'ACME-INC', 'scope1_t_co2e': 2.02, 'scope2_t_co2e': 19.3, 'scope3_t_co2e': 34.2, 'total_t_co2e': 55.52, ...}

Built-in Emission Factors

scope3track ships with GHG Protocol default factors for:

• Energy: electricity (US/EU grid), natural gas
• Transport: road freight, air freight, sea freight, passenger car, business flights
• Materials: steel, aluminium, plastic, paper, concrete
• Waste: landfill, recycled, composted

Register custom factors:

from scope3track import default_registry

default_registry.register("kwh_solar_ppa", 0.012)

Scope 3 Categories Supported

All 15 GHG Protocol Scope 3 categories (upstream + downstream):

purchased_goods_services, capital_goods, fuel_and_energy_activities, upstream_transportation_distribution, waste_generated_in_operations, business_travel, employee_commuting, upstream_leased_assets, downstream_transportation_distribution, processing_of_sold_products, use_of_sold_products, end_of_life_treatment, downstream_leased_assets, franchises, investments

Advanced Features

Pipeline

from scope3track import EmissionPipeline

pipeline = (
    EmissionPipeline()
    .filter(lambda e: e.scope == EmissionScope.SCOPE3, name="scope3_only")
    .map(lambda entries: sorted(entries, key=lambda e: -e.emissions_kg_co2e), name="sort_by_impact")
    .with_retry(count=2)
)

scope3_sorted = pipeline.run(entries)

Caching

from scope3track import EmissionCache

cache = EmissionCache(max_size=1000, ttl_seconds=3600)

@cache.memoize
def get_supplier_emissions(supplier_id):
    ...

cache.save("emissions_cache.pkl")
cache.load("emissions_cache.pkl")
print(cache.stats())

Export Reports

from scope3track import EmissionReportExporter

print(EmissionReportExporter.to_json(report))
print(EmissionReportExporter.to_csv(report))
print(EmissionReportExporter.to_markdown(report))

Drift Detection

from scope3track import EmissionDriftDetector

detector = EmissionDriftDetector(threshold=0.15)
for period_total in quarterly_totals:
    detector.record(period_total)

if detector.is_drifted():
    print(f"Emission drift detected: {detector.drift_ratio():.1%}")

Diff Between Periods

from scope3track import diff_entries

diff = diff_entries(q1_entries, q2_entries)
print(diff.summary())  # {'added': 2, 'removed': 0, 'modified': 3}
print(diff.to_json())

Async Batch

from scope3track import abatch_calculate, CancellationToken

token = CancellationToken()
entries = await abatch_calculate(raw_data, calc_fn, max_concurrency=8, token=token)

Streaming NDJSON

from scope3track import entries_to_ndjson

for line in entries_to_ndjson(entries):
    output_stream.write(line)

Frameworks Supported

• GHG Protocol Corporate Standard
• EU CSRD / ESRS E1
• ISO 14064-1

Changelog

v1.2.2 (2026-04-10)

• Added Contributing and Author sections to README

v1.2.1 (2026-04-10)

• Added Changelog section to README for release traceability

v1.2.0

• Added EmissionHotspotAnalyzer — identify top emission contributors across supply chain tiers
• Added NetZeroRoadmapGenerator — generate phased net-zero reduction roadmaps with milestones
• Expanded SEO keywords for PyPI discoverability

v1.0.1

• Advanced features: pipeline, caching, validation, diff/trend, streaming, audit log

v1.0.0

• Initial release: Scope 3 emissions tracking, GHG Protocol calculations, supplier-level reporting

License

MIT

Contributing

Contributions are welcome! Here's how to get started:

1. Fork the repository on GitHub
2. Create a feature branch: git checkout -b feature/your-feature
3. Make your changes and add tests
4. Run the test suite: pytest tests/ -v
5. Submit a pull request

Please open an issue first for major changes to discuss the approach.

Author

Mahesh Makvana — GitHub · PyPI

MIT License