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Free SDK

Kanoniv's Python SDK and embedded Rust reconciliation engine are free to use locally. No account, no API keys, no data leaves your machine. You can validate specs, plan execution, diff changes, and reconcile identity data entirely offline.

What's Free (Local SDK)

ComponentDescription
Python SDK (pip install kanoniv)Validate, plan, diff, and reconcile locally
Rust reconciliation engineNative-speed matching, blocking, scoring, and survivorship
All matching capabilitiesExact, similarity, range, composite rules with no restrictions
All blocking strategiesPlan-based and LSH blocking
All survivorship policiesmost_recent, most_complete, source_priority, aggregate
CLI offline commandskanoniv validate, kanoniv plan, kanoniv diff

What's Cloud (Paid)

ComponentDescription
Kanoniv CloudManaged platform with persistent identity graph
Auto-discovery + bootstrapkanoniv autodetect --bootstrap via Cloud API
AutoTuneAutomated threshold optimization via Cloud API
Real-time resolutionSub-millisecond resolve API
Warehouse connectorsSnowflake, Databricks, BigQuery
Enterprise featuresSSO, SCIM, HIPAA compliance, BYOK encryption, SIEM, audit logs

Architecture

The SDK has zero external dependencies at runtime - no API calls, no telemetry, no data leaves your machine.

Your Python code
     |
kanoniv Python SDK (pip install kanoniv)
     |
PyO3 bridge (Python -> Rust FFI)
     |
Rust reconciliation engine (compiled native code)
     |
Results (golden records, match pairs, diagnostics)

The Rust engine is compiled into a native Python extension via PyO3 and maturin. When you pip install kanoniv, you get a pre-built wheel for your platform - no Rust toolchain needed.

Supported Platforms

PlatformArchitectureWheel
Linuxx86_64kanoniv-*-manylinux_2_17_x86_64.whl
macOSIntel (x86_64)kanoniv-*-macosx_10_12_x86_64.whl
macOSApple Silicon (aarch64)kanoniv-*-macosx_11_0_arm64.whl

Installation

bash
pip install kanoniv

Or with Cloud support:

bash
pip install kanoniv[cloud]

Quick Example

yaml
# customer-spec.yaml
entity:
  name: customer
sources:
  - name: crm
    adapter: csv
    location: contacts.csv
    primary_key: id
  - name: billing
    adapter: csv
    location: invoices.csv
    primary_key: id
rules:
  - name: email_exact
    type: exact
    field: email
    weight: 1.0
  - name: name_fuzzy
    type: jaro_winkler
    field: name
    threshold: 0.9
    weight: 0.8
survivorship:
  strategy: source_priority
  priority: [crm, billing]
decision:
  thresholds:
    match: 0.85
python
from kanoniv import Spec, Source, reconcile, validate

# Validate the spec (catches errors before processing)
spec = Spec.from_file("customer-spec.yaml")
validation = validate(spec)
validation.raise_on_error()

# Load sources
sources = [
    Source.from_csv("crm", "contacts.csv"),
    Source.from_csv("billing", "invoices.csv"),
]

# Run reconciliation (entirely local - no network calls)
result = reconcile(sources, spec)

print(f"Input records: {result.total_input_records}")
print(f"Golden records: {len(result.golden_records)}")
print(f"Merge rate: {result.merge_rate:.1%}")

Source Adapters

The SDK includes adapters for common data sources:

AdapterMethodDescription
CSVSource.from_csv(name, path)Read from CSV files
PandasSource.from_pandas(name, df)Read from DataFrames
WarehouseSource.from_warehouse(name, conn, query)Read from SQL databases
dbtSource.from_dbt(name, project, model)Read from dbt models

Why Free?

For users

  • No vendor lock-in: Your matching logic lives in a YAML file you own. If you stop using Kanoniv, your spec is still valid documentation.
  • Transparency: The matching engine produces explainable decisions with confidence scores and rule traces.
  • Offline-first: Develop and test locally with real data before deploying to production. No account, no API key, no internet required.
  • Free for any scale: Process millions of records locally at zero cost. The Cloud is optional.

For the ecosystem

  • Interoperability: The YAML spec format is a portable standard for defining matching rules. Other tools can read and write it.
  • Trust: Every merge decision has a reason code, confidence score, and field provenance - critical for compliance and regulated industries.

The identity and delegation layer for AI agents.