nifi-djl-processor VS kylo

Compare nifi-djl-processor vs kylo and see what are their differences.

nifi-djl-processor

Apache NiFi 1.10 DJL (by tspannhw)
apache-nifi Deep Learning Mxnet AI Djl custom-processor Nifi jdk-8
Source Code
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kylo

Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apache Spark and/or Hadoop. Kylo is licensed under Apache 2.0. Contributed by Teradata Inc. (by Teradata)
Spark Nifi kylo data-lake teradata Hadoop
Source Code
kylo.io
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nifi-djl-processor kylo
- 1
7 1,091
- 0.5%
0.0 10.0
almost 2 years ago over 1 year ago
Java Java
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.
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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.

nifi-djl-processor

Posts with mentions or reviews of nifi-djl-processor. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning nifi-djl-processor yet.
Tracking mentions began in Dec 2020.

kylo

Posts with mentions or reviews of kylo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-09.
  • GitHub – GSA/code-gov: An informative repo for all Code.gov repos
    12 projects | news.ycombinator.com | 9 Sep 2023
    https://github.com/simonw/datasette-lite :

    > You can use this tool to open any SQLite database file that is hosted online and served with a `access-control-allow-origin: ` CORS header. Files served by GitHub Pages automatically include this header, as do database files that have been published online using `datasette publish`.*

    > [...] You can paste in the "raw" URL to a file, but Datasette Lite also has a shortcut: if you paste in the URL to a page on GitHub or a Gist it will automatically convert it to the "raw" URL for you

    > To load a Parquet file, pass a URL to `?parquet=`

    > [...] https://lite.datasette.io/?parquet=https://github.com/Terada...*

    There are various *-to-sqlite utilities that load data into a SQLite database for use with e.g. datasette. E.g. Pandas with `dtype_backend='arrow'` saves to Parquet.

    datasette plugins are written in Python and/or JS w/ pluggy:

What are some alternatives?

When comparing nifi-djl-processor and kylo you can also consider the following projects:

nifi-extracttext-processor - Apache NiFi Custom Processor Extracting Text From Files with Apache Tika

extruct - Extract embedded metadata from HTML markup

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

selectolax - Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).

nifi-djl-processor vs nifi-extracttext-processor kylo vs extruct nifi-djl-processor vs thinc kylo vs selectolax