kafka-connect-py
A client for the Confluent Platform Kafka Connect REST API.
Decision gist · record as of 2026-08-14
Yes, if you manage Kafka Connect clusters and prefer a CLI or Python library over raw REST calls. The low install friction, permissive MIT license, and broad Python version support make it accessible. However, the aging maintenance status warrants caution for production use—verify that the package still covers your Kafka Connect version's API surface and consider monitoring the repository for security updates or feature gaps.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a running Kafka Connect cluster accessible via REST API; connection details must be configured (typically via environment variables or CLI flags not shown in the excerpt).
- Low install friction with only two runtime dependencies (requests and click).
- Maintenance status is aging—last commit was 2026-01-06 and the package has not been updated for 220 days, though the repository remains active and not archived.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing use in both open-source and commercial projects with minimal restrictions.
last release 2026-01-06 (220 days) · last repo commit 2026-01-06 · 5 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 212,396 downloads/mo, #9,458 on PyPI
Alternatives
Verify before relying
pip install kafka-connect-py
kc info
kc list-plugins
kc update connector-name -d '{"connector.class": "..."}'
kc status connector-name- How connection details (host, port, credentials) are configured for the CLI tool and Python API
- Whether the package supports all features of the Kafka Connect REST API as claimed, or if some remain incomplete
- Python API usage patterns beyond the command-line examples provided in the description
What it is and what it does
kafka-connect-py is a Python client and command-line tool for interacting with Apache Kafka Connect clusters through their REST API. It wraps the Confluent Platform Kafka Connect REST interface, allowing you to manage connectors—create, update, delete, pause, resume, and inspect their status and configuration—without writing raw HTTP requests. The tool is primarily used as a CLI (invoked as `kc`) but also exposes a Python library for programmatic access.
The package depends on requests for HTTP communication and click for command-line argument parsing. It supports modern Python versions from 3.8 through 3.14 and is licensed under MIT. The repository remains active and not archived, though maintenance is aging with the last commit on 2026-01-06.
Use it for
- Automate connector provisioning and configuration management in CI/CD pipelines for data integration workflows.
- Inspect and troubleshoot failing connectors by querying task status and connector state from the command line.
- Batch manage multiple connectors using filtering by name pattern and state (running, paused, failed, unassigned).
- Integrate Kafka Connect operations into Python scripts or orchestration tools that need programmatic cluster control.
- Monitor connector health and restart failed tasks without manual REST API calls.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you manage Kafka Connect clusters and prefer a CLI or Python library over raw REST calls.
The low install friction, permissive MIT license, and broad Python version support make it accessible. However, the aging maintenance status warrants caution for production use—verify that the package still covers your Kafka Connect version's API surface and consider monitoring the repository for security updates or feature gaps.
Install
kafka-connect-py on PyPI
Before you install
Low install friction with only two runtime dependencies (requests and click). Maintenance status is aging—last commit was 2026-01-06 and the package has not been updated for 220 days, though the repository remains active and not archived.
Requires a running Kafka Connect cluster accessible via REST API; connection details must be configured (typically via environment variables or CLI flags not shown in the excerpt).
License in practice
MIT license is permissive, allowing use in both open-source and commercial projects with minimal restrictions.
Quickstart
pip install kafka-connect-py
kc info
kc list-plugins
kc update connector-name -d '{"connector.class": "..."}'
kc status connector-nameVerify before relying
- How connection details (host, port, credentials) are configured for the CLI tool and Python API
- Whether the package supports all features of the Kafka Connect REST API as claimed, or if some remain incomplete
- Python API usage patterns beyond the command-line examples provided in the description
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesrequestsclick |
| Maintenance | Aging 220 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 212,396 / month, #9,458 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: kafka_connect_py-1.0.0-py3-none-any.whl
Tags
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 › “kafka connect cli tool”
- kafka-connect-pyA command-line tool and Python client for managing Apache Kafka…
- port-oceanPort Ocean is a CLI framework and runtime for building integrations…
- tinybirdCommand-line interface for managing Tinybird data projects, including…
Give your agent the search over MCP, or paste the wish link into any chat.
More Distributed Computing packages
gRPC Python is an HTTP/2-based RPC framework that enables you to define and call remote procedures across network boundaries using protocol buffers for serialization.
Install it if you need RPC communication in a distributed system or are integrating with existing gRPC services.
execnet lets you spawn and communicate with Python interpreters across local processes, remote hosts, and different platforms, using a simple API for task distribution and inter-process messaging.
However, the aging maintenance status (275 days since last release) means you should verify it meets your concurrency and performance needs before committing to a…
Cloudpickle extends Python's standard pickle module to serialize lambda functions, interactively-defined functions and classes, and other constructs that the default pickle cannot handle, making it suitable for cluster computing and remote code execution.
Install it if you need to serialize lambda functions, interactively-defined code, or non-standard Python constructs for cluster computing or distributed execution.
Provides a unified, open()-compatible Python API for streaming large files from remote storage (S3, GCS, Azure, HDFS, SFTP, HTTP) and local filesystems, with transparent compression support.
Install it if you work with large files on cloud storage or remote systems and want to avoid writing boilerplate around multiple SDKs.
Portalocker provides cross-platform file locking with support for exclusive and shared locks, plus Redis-based distributed locks and process-aware PID file locking.
Install it if you need file or process coordination; the optional extras (pywin32, redis) are only required for specific lock types.
Ray is a distributed computing framework that scales Python applications from a single machine to multi-node clusters, providing abstractions for parallel tasks, stateful actors, and shared objects.
See also confluent-kafka · aiokafka · pulumi-confluentcloud · tinybird · kafka · PIconnect · google-cloud-managedkafka · kafka-python · kafka-schema-registry · port-ocean