180protocol VS dataframe

Compare 180protocol vs dataframe and see what are their differences.

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180protocol dataframe
4 3
28 719
- 3.9%
0.0 9.6
over 1 year ago 6 days ago
Kotlin Kotlin
- 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.

180protocol

Posts with mentions or reviews of 180protocol. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-21.
  • Use Cases Competition for 180Protocol
    1 project | /r/blockchaindeveloper | 22 Apr 2022
    Link to our GitHub:- https://github.com/180Protocol/180protocol/issues
  • 180Protocol – Web3 open source data sharing toolkit
    2 projects | news.ycombinator.com | 21 Jan 2022
    180Protocol is an open-source toolkit for data sharing. It targets enterprise use cases and improves the value and mobility of sensitive business data.

    Our alpha release is live on [GitHub](https://github.com/180Protocol/180protocol). Developers can quickly build distributed applications that allow data providers and consumers to securely aggregate and exchange confidential data. Developers can easily utilize confidential computing (with hardware enclaves like Intel SGX) to compute data aggregations from providers. Input/Output data structures can also be easily configured. When sharing data, providers get rewarded fairly for their contributions and consumers get unique data outputs.

    Read more on our [Wiki](https://docs.180protocol.com/)

  • 180Protocol - open source data sharing toolkit
    1 project | /r/ConfidentialComputing | 21 Jan 2022
    Our alpha release is live on GitHub. Developers can quickly build distributed applications that allow data providers and consumers to securely aggregate and exchange confidential data. Developers can easily utilize confidential computing (with hardware enclaves like Intel SGX) to compute data aggregations from providers. Input/Output data structures can also be easily configured. When sharing data, providers get rewarded fairly for their contributions and consumers get unique data outputs.

dataframe

Posts with mentions or reviews of dataframe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-09.
  • Plotting Financial Data in Kotlin with Kandy
    3 projects | dev.to | 9 Apr 2024
    For working with datasets (loading and processing), I use Kotlin DataFrame. It is a library designed for working with structured in-memory data, such as tabular or JSON. It offers convenient storage, manipulation, and data analysis with a convenient, typesafe, readable API. With features for data initialization and operations like filtering, sorting, and integration, Kotlin DataFrame is a powerful tool for data analytics. I also use the Kandy - Kotlin plotting library, designed specifically for full compatibility with Kotlin DataFrame. It brings many types of plots (including statistical) with rich customization options via a powerful Kotlin DSL. The best way to run all of this is Kotlin Notebook. It works out of the box, has native rendering of Kandy plots and DataFrame tables, and has IntelliJ IDEA support. It can also be run in Jupyter notebooks with a Kotlin kernel and on Datalore.
  • How to use jvm libraries on Multiplatform (js related) project
    1 project | /r/Kotlin | 28 Aug 2022
    kotlin-dataframe only supports JVM, it is not (yet) a multiplatform library and cannot be used in Kotlin/JS projects. https://github.com/Kotlin/dataframe/issues/24
  • Kotlin Team AMA #3: Ask Us Anything
    52 projects | /r/Kotlin | 27 May 2021
    Kotlin DataFrame is a library for in-memory data manipulation