flink-cdc VS hrequests

Compare flink-cdc vs hrequests and see what are their differences.

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flink-cdc hrequests
4 2
5,291 540
2.5% -
9.6 7.3
4 days ago about 2 months 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.

hrequests

Posts with mentions or reviews of hrequests. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-12.

What are some alternatives?

When comparing flink-cdc and hrequests 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.

bedframe - Your Browser Extension Development Framework

open-interpreter - A natural language interface for computers

sqllineage - SQL Lineage Analysis Tool powered by Python

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

machine_learning_games - Set of games and simulations designed to experiment with QLearning, Neuroevolution, and PoseNet.

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

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

weatherbench2 - A benchmark for the next generation of data-driven global weather models.

risingwave - SQL stream processing, analytics, and management. We decouple storage and compute to offer instant failover, dynamic scaling, speedy bootstrapping, and efficient joins.

LLM-Finetuning-Hub - Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. [Moved to: https://github.com/georgian-io/LLM-Finetuning-Toolkit]