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fivetran-connector-sdk

Build custom connectors on Fivetran platform

With conditionsPyPI Application FrameworksReleased Aug 2026216.5K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — fivetran_connector_sdk-2.11.0-py3-none-any.whl
v2.11.0 · released 2026-08-10 · Python >=3.10 · 7 runtime deps: grpcio, grpcio-tools, requests, pipreqs-fivetran, prompt-toolkit, pathspec, tqdm

Yes, if you need to ingest data from a source Fivetran doesn't support and want to avoid building and hosting a separate connector service. The SDK is actively maintained, has low install friction, carries a permissive license, and integrates directly with Fivetran's platform. Install only if you have a specific unsupported source in mind and are comfortable writing Python code to define the connector logic.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python ≥3.10 and ≤3.14; Windows 10+ (64-bit), macOS 13+, or Linux distributions such as Ubuntu 20.04+ (arm64 or x86_64).
  • Low friction installation with a pure-Python wheel.
  • Active maintenance as of 2026-08-14 with recent releases and an actively maintained repository.

License · maintenance · safety

permissive license (permissive) — MIT license (permissive) means you can use, modify, and distribute connectors built with this SDK with minimal legal constraints.

last release 2026-08-10 (4 days) · last repo commit 2026-08-14 · 115 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 216,457 downloads/mo, #9,378 on PyPI

Verify before relying

pip install fivetran-connector-sdk

from fivetran_connector_sdk import Connector
from fivetran_connector_sdk import Logging as log
from fivetran_connector_sdk import Operations as op
  • Whether the SDK supports incremental sync, CDC, or only full refresh patterns
  • Performance characteristics and data volume limits for connectors built with this SDK
  • Availability of pre-built connector examples beyond what's mentioned in the GitHub repository
Same gist for agents: .md · .json

What it is and what it does

The fivetran-connector-sdk is a framework for writing custom data connectors that execute within Fivetran's managed cloud infrastructure. Instead of building a standalone service or relying on unsupported third-party connectors, you write Python code using the SDK's Connector, Logging, and Operations classes, and Fivetran handles scheduling, compute, and orchestration. The SDK is designed for scenarios where Fivetran lacks a native connector—private APIs, custom applications, unsupported file formats, or data that requires filtering or anonymization before reaching your destination.

The package provides a structured way to define how data is extracted from your source, transformed if needed, and delivered to Fivetran's platform. It depends on grpcio and grpcio-tools for communication, requests for HTTP operations, and utility libraries like tqdm and prompt-toolkit. The framework abstracts away infrastructure concerns, letting you focus on the connector logic itself.

Use it for

  • Extract data from a proprietary internal API that Fivetran doesn't support natively.
  • Pre-process or filter sensitive data before it enters your data warehouse.
  • Build a connector for a custom file format or database that requires special handling.
  • Integrate a private data source without exposing it to a third-party service.
  • Anonymize or transform data on ingestion to meet compliance requirements.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need to ingest data from a source Fivetran doesn't support and want to avoid building and hosting a separate connector service.

The SDK is actively maintained, has low install friction, carries a permissive license, and integrates directly with Fivetran's platform. Install only if you have a specific unsupported source in mind and are comfortable writing Python code to define the connector logic.

Install

fivetran-connector-sdk on PyPI

Before you install

Low friction installation with a pure-Python wheel. Active maintenance as of 2026-08-14 with recent releases and an actively maintained repository. Requires Python ≥3.10 and depends on grpcio, grpcio-tools, and other standard libraries.

Requires Python ≥3.10 and ≤3.14; Windows 10+ (64-bit), macOS 13+, or Linux distributions such as Ubuntu 20.04+ (arm64 or x86_64).

License in practice

MIT license (permissive) means you can use, modify, and distribute connectors built with this SDK with minimal legal constraints.

Quickstart

pip install fivetran-connector-sdk

from fivetran_connector_sdk import Connector
from fivetran_connector_sdk import Logging as log
from fivetran_connector_sdk import Operations as op

Verify before relying

  • Whether the SDK supports incremental sync, CDC, or only full refresh patterns
  • Performance characteristics and data volume limits for connectors built with this SDK
  • Availability of pre-built connector examples beyond what's mentioned in the GitHub repository

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
7 packages
grpciogrpcio-toolsrequestspipreqs-fivetranprompt-toolkitpathspectqdm
MaintenanceActively maintained 4 days since the last release
Last repo commit
First released
Downloads216,457 / month, #9,378 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3

Evidence: fivetran_connector_sdk-2.11.0-py3-none-any.whl

Tags

Capabilities
custom data connector frameworkfivetran connector developmentetl connector sdkbuild custom data pipelinefivetran integration builderpython data connectorcustom source connector
Topics
data-integrationetl-framework

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See also airflow-provider-fivetran-async · dagster-fivetran · airbyte · airbyte-source-declarative-manifest · airbyte-cdk · airflow-provider-hightouch · connector-sdk-types · kedro-datasets · airbyte-connector-models · avidtools