mleap
MLeap: Deploy ML Pipelines to Production (by combust)
adam
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed. (by bigdatagenomics)
mleap | adam | |
---|---|---|
1 | 3 | |
1,494 | 967 | |
0.1% | 0.2% | |
5.2 | 6.1 | |
6 months ago | about 1 month ago | |
Scala | Scala | |
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.
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.
mleap
Posts with mentions or reviews of mleap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-23.
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Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
Everything is custom and will take a lot of work, but luckily, you don’t have to do all the work here. In THE second article, you will use MLeap, a library that does the heavy lifting in terms of serializing Spark ML Pipeline for real-time inference and also provides an execution engine for Spark so you can deploy pipelines on non-Spark runtimes.
adam
Posts with mentions or reviews of adam.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-24.
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biobear -- python package with minimal dependencies for bioinformatic file parsing and querying using rust and polars as the backend
FYI: ADAM seems to do that
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Advanced Scientific Data Format
We presented using Parquet formats for bioinformatics 2012/13-ish at the Bioinformatics Open Source Conference (BOSC) and got laughed out of the place.
While using Apache Spark for bioinformatics [0] never really took off, I still think Parquet formats for bioinformatics [1] is a good idea, especially with DuckDB, Apache Arrow, etc. supporting Parquet out of the box.
0 - https://github.com/bigdatagenomics/adam
1 - https://github.com/bigdatagenomics/bdg-formats
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Seq: A programming language for high-performance computational genomics
We're here, still plugging along.
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
https://github.com/bigdatagenomics/adam
What are some alternatives?
When comparing mleap and adam you can also consider the following projects:
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
seq - A high-performance, Pythonic language for bioinformatics