dtype-next
A Clojure library designed to aid in the implementation of high performance algorithms and systems. (by cnuernber)
tech.ml.dataset
A Clojure high performance data processing system (by techascent)
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dtype-next | tech.ml.dataset | |
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12 | 15 | |
310 | 633 | |
- | 2.1% | |
8.3 | 8.8 | |
about 2 months ago | about 2 months ago | |
Clojure | Clojure | |
GNU General Public License v3.0 or later | Eclipse Public License 1.0 |
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.
dtype-next
Posts with mentions or reviews of dtype-next.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-19.
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Lisp/Scheme/Clojure and APL/K (2016)
Related (?): https://github.com/cnuernber/dtype-next/blob/master/test/tec...
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A Tablecloth talk by Mey Beisaron at Func Prog Sweden this week
Tablecloth by generateme is a friendly & expressive table-processing library built on top of tech.ml.dataset & dtype-next, Chris Nuernberger's high-performance data libraries.
- Why Clojure is not widely adopted like mainstream languages?
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Notes on Optimizing Clojure Code: Arrays
There is one other detail here that I found out w/r/t arrays - Clojure's aset implementation returns the previous value; it isn't a faithful wrapper of the JVM's array set value instruction. Due to this if you are using aset on primitive arrays you end up boxing every value you are setting which at least in my tests leads to a performance disadvantage when compared to a tight loop using Java. This is why I have a specialized class implementing an aset that returns void.
- Dtype-next: a Clojure library to aid implementation of high performance systems
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Nested mapping?
If this is something common and the work is numeric, I would highly recommend exploring dtype-next buffer abstraction and tensors. The tensor api supports a nice APL-like substrate for working in index space without having to have the underlying storage "be" a boxed datastructure. You also get the option of off-heap / native tensors that can be zero-copy shuttled between other runtimes.
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Clojure High Performance Data Processing Updates
dtype-next - Major discoverability upgrades for the tech.v3.datatype and tech.v3.datatype.functional namespaces. Similarly to tmd, Cursive and Calva users now get full intellisense help with these main namespaces. Furthermore the FFI bindings now support linting with clj-kondo.
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Coffi, a Foreign Function Interface for JDK 17
One thing about the readme that is incorrect - [dtype-next](https://github.com/cnuernber/dtype-next)'s ffi does in fact support callbacks :-). It is used as the backend to [libpython-clj](https://github.com/clj-python/libpython-clj) where you certainly can call clojure functions from python.
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Anybody using Common Lisp or clojure for data science
There are some interesting efforts concurrent with scicloj work by Chris Nuernberger specifically dtype-next, and the earlier tech-jna stuff. It's the same stuff underlying libpython-clj and libjulia-clj. recent talk.
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clojure-rte: Clojure implementation of rational type expressions
This is great work. One of the things that has been on my mind working through our numerics stack is how to extend the number tower to complex numbers or more generally to arbitrary algebras. This project seems to me to be sort of a type-system-in-a-box that we can use to add arbitrary typing to Clojure where necessary/ideal. Thanks for sharing.
tech.ml.dataset
Posts with mentions or reviews of tech.ml.dataset.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-19.
-
A Tablecloth talk by Mey Beisaron at Func Prog Sweden this week
Tablecloth by generateme is a friendly & expressive table-processing library built on top of tech.ml.dataset & dtype-next, Chris Nuernberger's high-performance data libraries.
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Best Data Tools for my use case
For 1: This ns of tech.ml.dataset supports reading of multiple worksheets per file https://github.com/techascent/tech.ml.dataset/blob/master/src/tech/v3/libs/fastexcel.clj
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Ham-Fisted - A New High Performance Clojure Library
After building tech.ml.dataset and charred I wanted to take the lessons learned there and apply them back into the base Clojure substrate of persistent maps, persistent vectors, and algorithmic primitives like group-by and frequencies.
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A data science course for Clojurians – are you interested?
Did you try tech.ml.dataset?
- Why Clojure is not widely adopted like mainstream languages?
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Rewrite Your Scripts In LISP - with Roswell
Checkout babashka for scritping and clj-python to use numpy from clojure, or https://github.com/techascent/tech.ml.dataset for pure clojure
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Notebooks suck: change my mind
Really high quality libraries for deep learning, dataset manipulation, and more
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Clojure High Performance Data Processing Updates
tech.ml.dataset has seen some major upgrades for discoverability - specifically the tech.ml.dataset main namespace has been revamped. If you use Cursive or Calva your intellisense will now work with the main namespaces.
- LLVM!
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Announcement of first beta version of new Clojure machine learning library, scicloj.ml
It is based on a state-of-the art , high performance tabular dataset implementation, tech.ml.dataset and combines it with a innovative pipeline approach build with idiomatic and functional Clojure concepts in mind. Machine Learning models get pulled in as plugins from existing ecosystems, so are available from the start. Please find user guides and example code in GitHub at https://github.com/scicloj/scicloj.ml
What are some alternatives?
When comparing dtype-next and tech.ml.dataset you can also consider the following projects:
neanderthal - Fast Clojure Matrix Library
deep-diamond - A fast Clojure Tensor & Deep Learning library
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
hanami - Interactive arts and charts plotting with Clojure(Script) and Vega-lite / Vega. Flower viewing 花見 (hanami)
geni - A Clojure dataframe library that runs on Spark
waqi - REPL-driven data visualizations with Clojure and Vega/Vega-Lite in the browser
clerk - ⚡️ Moldable Live Programming for Clojure
cljplot - JVM Clojure charting library
vellum-plot
libpython-clj - Python bindings for Clojure
dtype-next vs neanderthal
tech.ml.dataset vs deep-diamond
dtype-next vs tablecloth
tech.ml.dataset vs tablecloth
dtype-next vs hanami
tech.ml.dataset vs geni
dtype-next vs waqi
tech.ml.dataset vs clerk
dtype-next vs cljplot
tech.ml.dataset vs hanami
dtype-next vs vellum-plot
tech.ml.dataset vs libpython-clj