Open Food Network VS python-fake-data-producer-for-apache-kafka

Compare Open Food Network 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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Open Food Network python-fake-data-producer-for-apache-kafka
2 32
1,062 77
0.9% -
10.0 2.7
3 days ago 8 days ago
Ruby Python
GNU Affero General Public License v3.0 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.

Open Food Network

Posts with mentions or reviews of Open Food Network. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-01.

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 Open Food Network and python-fake-data-producer-for-apache-kafka you can also consider the following projects:

Shopware - Shopware 5 core

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

PrestaShop - PrestaShop is the universal open-source software platform to build your e-commerce solution.

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

WooCommerce - A customizable, open-source ecommerce platform built on WordPress. Build any commerce solution you can imagine.

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

Open Source POS - Open Source Point of Sale is a web based point of sale application written in PHP using CodeIgniter framework. It uses MySQL as the data back end and has a Bootstrap 3 based user interface.

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

OpenCart - A free shopping cart system. OpenCart is an open source PHP-based online e-commerce solution.

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.

Thelia - Thelia is an open source tool for creating e-business websites and managing online content. Repo containing the new major version (v2)

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/