strimzi-kafka-cli VS esque

Compare strimzi-kafka-cli vs esque and see what are their differences.

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strimzi-kafka-cli esque
1 1
76 24
- -
8.9 2.1
about 2 months ago 11 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

strimzi-kafka-cli

Posts with mentions or reviews of strimzi-kafka-cli. We have used some of these posts to build our list of alternatives and similar projects.

esque

Posts with mentions or reviews of esque. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-06.

What are some alternatives?

When comparing strimzi-kafka-cli and esque you can also consider the following projects:

PyInquirer - A Python module for common interactive command line user interfaces

kafka-ui - Open-Source Web UI for Apache Kafka Management

rebound - Command-line tool that instantly fetches Stack Overflow results when an exception is thrown

kafka-manager - CMAK is a tool for managing Apache Kafka clusters

python-fake-data-producer-for-apache-kafka - The Python fake data producer for Apache Kafka® is a complete demo app allowing you to quickly produce JSON fake streaming datasets and push it to an Apache Kafka topic.

aws_cfn_kafka_admin_provider - CLI/Lib to transform simple YAML defintion of topics into CFN template

pypi-command-line - A powerful, colorful, beautiful command-line-interface for pypi.org

aws_cfn_resource_ews_kafka_acls

jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.