$npx skillfedfor your agent

airbyte-cdk

A framework for writing Airbyte Connectors.

With conditionsPyPI Scientific/EngineeringReleased Aug 20261.6M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — airbyte_cdk-7.25.1-py3-none-any.whl
v7.25.1 · released 2026-08-11 · Python <3.14,>=3.10 · 41 runtime deps: Jinja2, PyYAML, airbyte-protocol-models-dataclasses, anyascii, backoff, boltons, cachetools, click

Yes, if you are building connectors for the Airbyte ecosystem. The framework is actively maintained, carries no known vulnerabilities, and provides well-documented patterns for both low-code and custom connector development. Install friction is low and Python support is current. Not relevant if you need a standalone data-fetching library outside Airbyte.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later; designed for building connectors within the Airbyte ecosystem, not a standalone data-fetching library.
  • Low install friction with a pure-Python wheel distribution.
  • Actively maintained with a release 3 days old.

License · maintenance · safety

MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute this package freely as long as you include the original license notice.

last release 2026-08-11 (3 days) · last repo commit 2026-08-14 · 25 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,575,848 downloads/mo, #3,746 on PyPI

Verify before relying

pip install airbyte-cdk

from airbyte_cdk.sources import Source
from airbyte_cdk.sources.declarative import DeclarativeSource

# Use DeclarativeSource for low-code connector or subclass Source for custom logic
  • Whether the 41 runtime dependencies are all required for basic connector development or only for advanced features.
  • Performance characteristics when building connectors that handle high-throughput data sources.
  • Maturity level beyond 'Alpha' classification—how stable is the public API across minor releases?
Same gist for agents: .md · .json

What it is and what it does

Airbyte CDK is a Python framework for building connectors that integrate data sources into Airbyte's data pipeline platform. It abstracts the complexity of implementing Airbyte's protocol by providing base classes, helpers, and a declarative manifest language for defining how to extract, transform, and stream data from APIs, databases, and file systems.

The package supports three main approaches: a low-code declarative manifest (recommended for most connectors), a concurrent CDK for high-throughput scenarios, and a file-based CDK for cloud storage sources. It handles authentication, pagination, rate limiting, schema inference, and protocol serialization, letting developers focus on source-specific logic rather than boilerplate. The framework is actively maintained and supports modern Python versions.

Use it for

  • Build a REST API connector to sync data from a SaaS platform into a data warehouse using the declarative manifest.
  • Develop a custom Python connector for a proprietary or complex data source requiring conditional logic and custom transformations.
  • Create a file-based connector to extract data from S3, Azure Blob Storage, or Google Cloud Storage.
  • Implement a high-throughput connector that reads data concurrently from multiple partitions or slices.
  • Extend an existing Airbyte connector with custom authentication, error handling, or retry logic.

Worth the install?

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

With conditions

Yes, if you are building connectors for the Airbyte ecosystem.

The framework is actively maintained, carries no known vulnerabilities, and provides well-documented patterns for both low-code and custom connector development. Install friction is low and Python support is current. Not relevant if you need a standalone data-fetching library outside Airbyte.

Install

airbyte-cdk on PyPI

Before you install

Low install friction with a pure-Python wheel distribution. Actively maintained with a release 3 days old. Supports current Python versions (3.10–3.13) and carries 41 runtime dependencies, mostly standard data-processing and HTTP libraries.

Requires Python 3.10 or later; designed for building connectors within the Airbyte ecosystem, not a standalone data-fetching library.

License in practice

MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute this package freely as long as you include the original license notice.

Quickstart

pip install airbyte-cdk

from airbyte_cdk.sources import Source
from airbyte_cdk.sources.declarative import DeclarativeSource

# Use DeclarativeSource for low-code connector or subclass Source for custom logic

Verify before relying

  • Whether the 41 runtime dependencies are all required for basic connector development or only for advanced features.
  • Performance characteristics when building connectors that handle high-throughput data sources.
  • Maturity level beyond 'Alpha' classification—how stable is the public API across minor releases?

Package facts

LicenseMIT permissive
Python supportSupports the current Python release <3.14,>=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
41 packages
Jinja2PyYAMLairbyte-protocol-models-dataclassesanyasciibackoffboltonscachetoolsclickcryptographydateparserdpathdunamaigensongoogle-cloud-secret-managerijsonisodatejsonrefjsonschemanltkorjsonpackagingpandaspydanticpyjwtpyrate-limiterpython-dateutilpython-ulidpytzrapidfuzzreferencing
MaintenanceActively maintained 3 days since the last release
Last repo commit
First released
Downloads1,575,848 / month, #3,746 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Scientific/EngineeringTopic :: Software Development :: Libraries :: Python Modules

Evidence: airbyte_cdk-7.25.1-py3-none-any.whl

Tags

Capabilities
airbyte connector developmentpython cdk for data extractionrest api connector builderdeclarative data source connectorairbyte source connector frameworklow-code connector developmentfile-based source connector
Topics
data-integrationetl-frameworkconnector-development
PyPI keywords
airbyteconnector-development-kitcdk

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “airbyte connector development”

Give your agent the search over MCP, or paste the wish link into any chat.

More Scientific/Engineering packages

numpy Worth it
PyPI · Software Development · released Aug 2026

NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.

BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0compiled wheel · 3.12+
1.1Bdownloads / mo
pandas Worth it
PyPI · Scientific/Engineering · released Jul 2026

pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.

BSD-3-Clausecompiled wheel · 3.11+
769.1Mdownloads / mo
scipy Worth it
PyPI · Libraries · released Jun 2026

scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.

BSD-3-Clausecompiled wheel · 3.12+
449.0Mdownloads / mo
scikit-learn Worth it
PyPI · Software Development · released Jun 2026

scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.

Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.

BSD-3-Clausecompiled wheel · 3.11+
235.5Mdownloads / mo
dill Worth it
PyPI · Software Development · released Jan 2026

dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.

BSD-3-Clausepure Python · 3.9+
208.1Mdownloads / mo
multiprocess Worth it
PyPI · Software Development · released Jan 2026

Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.

Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.

BSD-3-Clausepure Python · 3.9+
202.7Mdownloads / mo

See also airbyte · airbyte-source-declarative-manifest · airbyte-api · airbyte-connector-models · airbyte-protocol-models · dagster-airbyte · airbyte-protocol-models-pdv2 · fivetran-connector-sdk · airbyte-protocol-models-dataclasses · apache-airflow-providers-airbyte