charred
zero dependency efficient read/write of json and csv data. (by cnuernber)
tech.ml.dataset
A Clojure high performance data processing system (by techascent)
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| charred | tech.ml.dataset | |
|---|---|---|
| 3 | 15 | |
| 245 | 633 | |
| - | 2.1% | |
| 7.1 | 8.8 | |
| 3 months ago | about 2 months ago | |
| Clojure | Clojure | |
| MIT License | 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.
charred
Posts with mentions or reviews of charred.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-07.
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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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Noob question: Do i need to learn Java to use Clojure?
...and in some circumstances, the most correct Clojure program has a little Java in it because it's faster or whatever. (Chris Nuernberger's charred is a recent example.) This is unusual Clojuring; most Clojurians never do this.
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Fast JSON and CSV encode/decode
Introducing Charred - fast json/csv encode and decode. This library finalizes my research into csv and json parsing and is a complete drop-in replacement for clojure.data.csv and clojure.data.json. Same API, much better (5-10x) performance. This library gets as good performance for those tasks as anything on the JVM and avoids the jackson hairball entirely.
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.
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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.
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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.
-
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 charred and tech.ml.dataset you can also consider the following projects:
jsonista - Clojure library for fast JSON encoding and decoding.
deep-diamond - A fast Clojure Tensor & Deep Learning library
fast-json
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
aws-athena-monitoring - Monitoring stack for AWS Athena using CDK written in Clojure
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
neanderthal - Fast Clojure Matrix Library
geni - A Clojure dataframe library that runs on Spark
cq - Clojure Command-line Data Processor for JSON, YAML, EDN, XML and more
clerk - ⚡️ Moldable Live Programming for Clojure
hanami - Interactive arts and charts plotting with Clojure(Script) and Vega-lite / Vega. Flower viewing 花見 (hanami)
libpython-clj - Python bindings for Clojure
charred vs jsonista
tech.ml.dataset vs deep-diamond
charred vs fast-json
tech.ml.dataset vs tablecloth
charred vs aws-athena-monitoring
tech.ml.dataset vs dtype-next
charred vs neanderthal
tech.ml.dataset vs geni
charred vs cq
tech.ml.dataset vs clerk
tech.ml.dataset vs hanami
tech.ml.dataset vs libpython-clj