hrequests
flink-cdc
hrequests | flink-cdc | |
---|---|---|
2 | 4 | |
536 | 5,273 | |
- | 2.2% | |
7.3 | 9.6 | |
about 1 month ago | 4 days ago | |
Python | Java | |
Apache License 2.0 | Apache License 2.0 |
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.
hrequests
- FLaNK Stack Weekly for 12 September 2023
-
Hrequests: A powerful webscraping library
Feel free to take a look: https://github.com/daijro/hrequests
flink-cdc
- FLaNK Stack Weekly 12 February 2024
- FLaNK Stack Weekly for 12 September 2023
-
Flink CDC / alternatives
Info from: https://github.com/ververica/flink-cdc-connectors
- Flink CDC Connectors
What are some alternatives?
bedframe - Your Browser Extension Development Framework
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
sqllineage - SQL Lineage Analysis Tool powered by Python
open-interpreter - A natural language interface for computers
machine_learning_games - Set of games and simulations designed to experiment with QLearning, Neuroevolution, and PoseNet.
flink-faker - A data generator source connector for Flink SQL based on data-faker.
FLaNK-Halifax - Community over Code, Apache NiFi, Apache Kafka, Apache Flink, Python, GTFS, Transit, Open Source, Open Data
weatherbench2 - A benchmark for the next generation of data-driven global weather models.
MmFLaNK - Mm FLaNK Stack (MXNet, MiNiFi, Flink, NiFi, Kafka, Kudu) for AI-IoT
LLM-Finetuning-Hub - Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. [Moved to: https://github.com/georgian-io/LLM-Finetuning-Toolkit]
risingwave - SQL stream processing, analytics, and management. We decouple storage and compute to offer speedy bootstrapping, dynamic scaling, time-travel queries, and efficient joins.