flink-cdc VS python-fake-data-producer-for-apache-kafka

Compare flink-cdc vs python-fake-data-producer-for-apache-kafka and see what are their differences.

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. (by Aiven-Labs)
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flink-cdc python-fake-data-producer-for-apache-kafka
4 32
5,291 77
2.5% -
9.6 2.7
4 days ago 24 days ago
Java Python
Apache License 2.0 Apache License 2.0
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.

flink-cdc

Posts with mentions or reviews of flink-cdc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-12.

python-fake-data-producer-for-apache-kafka

Posts with mentions or reviews of python-fake-data-producer-for-apache-kafka. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-11.

What are some alternatives?

When comparing flink-cdc and python-fake-data-producer-for-apache-kafka you can also consider the following projects:

debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.

kafka-connect-opensky - Kafka Source Connector reading in from the OpenSky API

open-interpreter - A natural language interface for computers

OpenKP - Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural m

flink-faker - A data generator source connector for Flink SQL based on data-faker.

fake-data-producer-for-apache-kafka-docker - Fake Data Producer for Aiven for Apache Kafka® in a Docker Image

FLaNK-Halifax - Community over Code, Apache NiFi, Apache Kafka, Apache Flink, Python, GTFS, Transit, Open Source, Open Data

Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

hrequests - 🚀 Web scraping for humans

Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

MmFLaNK - Mm FLaNK Stack (MXNet, MiNiFi, Flink, NiFi, Kafka, Kudu) for AI-IoT

demo-scene - 👾Scripts and samples to support Confluent Demos and Talks. ⚠️Might be rough around the edges ;-) 👉For automated tutorials and QA'd code, see https://github.com/confluentinc/examples/