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

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

searchkit

Search UI for Elasticsearch & Opensearch. Compatible with Algolia's Instantsearch and Autocomplete components. React & Vue support (by searchkit)

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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searchkit python-fake-data-producer-for-apache-kafka
5 32
4,710 74
0.4% -
7.8 4.5
4 days ago 8 months ago
TypeScript 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.

searchkit

Posts with mentions or reviews of searchkit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-07.
  • Autocomplete – a JavaScript library for building autocomplete experiences
    7 projects | news.ycombinator.com | 7 Jun 2023
    https://github.com/searchkit/searchkit is an instantsearch adapter for elasticsearch / opensearch
  • React.dev
    21 projects | news.ycombinator.com | 16 Mar 2023
    One example of this pattern is Searchkit [0] which performs most of its logic inside a singleton Searchkit class which is instantiated and passed as a prop to the root React component. A bonus is that it's easier to implement bindings for Angular, Svelte, etc. since they can rely mostly on the class. For example, it looks like Searchkit now suggests using InstantSearch (react-instantsearch-dom) [1] from Algolia, i.e. an entirely different maintainer, and it creates the bindings with a `Client(new SearchKit(...))` adapter [2] around the class (see the code on the home page at [0]).

    [0] https://www.searchkit.co/

    [1] https://github.com/algolia/instantsearch

    [2] https://github.com/searchkit/searchkit/blob/main/packages/se...

  • I made Elasticsearch work with Algolia's Instantsearch
    1 project | /r/javascript | 20 Feb 2023
  • How to build an availability search UI with Elasticsearch
    5 projects | dev.to | 17 Feb 2023
    We will use React, Next.JS, Instantsearch and Searchkit to build a search UI.
  • Ask HN: Should I give up and get a job?
    5 projects | news.ycombinator.com | 3 Mar 2022
    I think you are probably spending too much of your time on software and too little time on marketing.

    When I look at an open-source project, I ask myself three things:

    1) What does it do exactly?

    2) Is this easy to get started with?

    3) Does it have any documentation?

    For example, I have a use case for wanting to use graphql to communicate with elasticsearch. I google "graphql + elasticsearch" and somewhere a link to https://www.searchkit.co/ comes up. I look at it and I find my answers within 60 seconds:

    1) Top of the page I see "Searchkit is an open source library which helps you build a great search experience with Elasticsearch. Powered by Apollo GraphQL." This makes me think that yeah, it's probably looking to solve a similar problem to me. In case I had any doubts, there's a demo.

    2) Yes, easy to get started. There's a big "get started" button at the top of the page. And a get-started-video link at the bottom of the homepage.

    3) At a glance, yes, it has decent documentation.

    Given that I quickly got answers to these 3 questions, yes, I might consider using this project, or at least trying it out.

    When I go to your page, I see:

    1) River DB is a Rust connection pool and middleware proxy... ok... why do i need that? What problem is this solving? There's a long paragraph I can read after that, but when i'm browsing the web i don't usually read long paragraphs, so you've lost me already.

    2) I have no idea how to get started

    3) Doesn't look like there's any docs

    Given the above, why would I use your software?

    Note that the above has nothing to do with your software quality. But people only care about your code if things are breaking. Marketing material is what gets them in the door. For example, I use React all the time. I have NO IDEA if the underlying code is any good. And I don't really care. What I care about is that it's easy to use.

    Anyway, long story short... if you want to build a software business, coding is maybe 30-40% of the job. Marketing, sales, documentation and all that jazz is probably the majority of the work. If you don't want to do that and you just want to code, then great, get a job. People will pay you good money for that.

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

semantic-ui-react - The official Semantic-UI-React integration

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

sveltekit-graphql-github - Use Apollo Client with SvelteKit to Query a GraphQL API: we use the GitHub API to query our repos and learn a bit of SvelteKit along the way.

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

rctui - A collection of components for React, base on bootstrap 4.0.

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

pivotal-ui-react - Pivotal's design system & component library

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.

cdbreact - Contrast Design Bootstrap : Elegant UI Kit and reusable components for building mobile-first, responsive websites and web apps

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

react-uikit-components - React UIkit Components for the UIKit CSS framework

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/