Skip to main content

Open source impact investment portfolio tracker for CDFIs, private debt, and community development finance

Project description

impact-ledger 📊

Open source impact investment portfolio tracker for CDFIs, private debt, and community development finance.

Track loans, NMTC deals, grants, and equity investments alongside social impact metrics — jobs created, affordable units financed, borrower demographics, and geographic reach. Generate standardized CDFI Fund-style reports in Python.


Why impact-ledger?

Impact funds tracking private debt, community facilities, and social impact metrics currently have two options: custom Excel spreadsheets or $50k+/year proprietary CRM software. impact-ledger is the open source alternative — standardized, auditable, and free.


Installation

pip install impact-ledger

Quickstart

from impactledger import loan, nmtc, grant, add_impact, Portfolio
from impactledger import cdfi_fund_report, sector_impact_report

# Create a portfolio
p = Portfolio(name="CDFI Impact Fund I", vintage_year=2022)

# Add a loan with impact metrics
inv = loan(
    name="Southside Health Center",
    amount=2_000_000,
    interest_rate=0.045,
    date_closed="2023-01-15",
    maturity_date="2033-01-15",
    state="IL",
    borrower_name="Southside Health Inc",
    borrower_type="nonprofit",
    sector="healthcare",
    is_low_income_area=True,
    is_minority_borrower=True,
)
add_impact(inv, jobs_created=25, jobs_retained=40, patients_served=5000)
p.add(inv)

# Add an NMTC deal
deal = nmtc(
    name="Detroit Manufacturing NMTC",
    amount=8_000_000,
    date_closed="2022-06-01",
    maturity_date="2029-06-01",
    state="MI",
    borrower_name="Detroit Advanced Mfg Co",
    sector="small_business",
    is_low_income_area=True,
)
add_impact(deal, jobs_created=45, jobs_retained=60)
p.add(deal)

# Portfolio summary
p.summary()

# Generate reports
cdfi_fund_report(p)
sector_impact_report(p)

# Export to DataFrame
df = p.to_dataframe()

Investment Types Supported

  • loan - Private debt / direct lending
  • equity - Equity investment
  • grant - Grant or forgivable loan
  • nmtc - New Markets Tax Credit investment
  • guarantee - Loan guarantee
  • bond - Bond or debenture

Impact Metrics Tracked

  • Jobs created and retained
  • Affordable housing units financed
  • Community square footage
  • Businesses supported
  • Patients served
  • Students served
  • Borrower demographics (minority, women, low-income)
  • Geographic reach (state, census tract, rural/urban)

Reports

  • cdfi_fund_report() - CDFI Fund Annual Certification Report format
  • sector_impact_report() - Impact breakdown by sector
  • watchlist_report() - Impaired and watch-list investments

Running Tests

PYTHONPATH=. pytest tests/ -v

27 tests across all modules.


Who This Is For

  • CDFI loan officers tracking portfolio performance and impact
  • Impact fund managers reporting to LPs and board
  • Researchers studying community development finance outcomes
  • Anyone replacing a bespoke Excel impact tracker with Python

License

MIT 2026 Jaypatel1511

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

impact_ledger-0.1.0.tar.gz (9.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

impact_ledger-0.1.0-py3-none-any.whl (9.8 kB view details)

Uploaded Python 3

File details

Details for the file impact_ledger-0.1.0.tar.gz.

File metadata

  • Download URL: impact_ledger-0.1.0.tar.gz
  • Upload date:
  • Size: 9.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.12

File hashes

Hashes for impact_ledger-0.1.0.tar.gz
Algorithm Hash digest
SHA256 bec05366611583c5189751306620b5b2a095a54a03ba477119e3fcb49e7cd46d
MD5 d60ea8f1333940072829c35dcfafacf6
BLAKE2b-256 c34b5fa3873ff0e6bb5d2806c8e1c53d035af667fbd55c92bc7d445a36c70b2b

See more details on using hashes here.

File details

Details for the file impact_ledger-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: impact_ledger-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 9.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.12

File hashes

Hashes for impact_ledger-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4d8ef2a883ea93c5171d5cbcd3eb44a75cade24f13db519cd080495635c8cce4
MD5 ae337de01e5f975c8f6b2975259942ee
BLAKE2b-256 02011107ae2de21746f94a0a10e0e29b1492985ba58d709320d8fe014beee8d7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page