geni-performance-benchmark
By zero-one-group
tech.ml.dataset
A Clojure high performance data processing system (by techascent)
| geni-performance-benchmark | tech.ml.dataset | |
|---|---|---|
| 3 | 15 | |
| 27 | 633 | |
| - | 1.1% | |
| 4.1 | 8.8 | |
| over 3 years ago | about 2 months ago | |
| Clojure | Clojure | |
| Apache License 2.0 | 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.
geni-performance-benchmark
Posts with mentions or reviews of geni-performance-benchmark.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-26.
-
PyTorch: Where we are headed and why it looks a lot like Julia (but not exactly)
Clojure has a high performance data frame library that leverages new JVM vector API and high quality apache arrow protocol.
Talk related - https://youtu.be/5mUGu4RlwKE
https://github.com/zero-one-group/geni-performance-benchmark
- LLVM!
-
Clojure High Performance Data Processing System
How often have you seen a Clojure system that soundly beats C, Julia, Python, Spark, and R systems in a data processing benchmark?
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.
-
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
-
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?
-
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
-
Notebooks suck: change my mind
Really high quality libraries for deep learning, dataset manipulation, and more
-
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!
-
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 geni-performance-benchmark and tech.ml.dataset you can also consider the following projects:
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
deep-diamond - A fast Clojure Tensor & Deep Learning library
HTTP.jl - HTTP for Julia
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
functorch - functorch is JAX-like composable function transforms for PyTorch.
geni - A Clojure dataframe library that runs on Spark
TailRec.jl - A tail recursion optimization macro for julia.
clerk - ⚡️ Moldable Live Programming for Clojure
hanami - Interactive arts and charts plotting with Clojure(Script) and Vega-lite / Vega. Flower viewing 花見 (hanami)
geni-performance-benchmark vs jax
tech.ml.dataset vs deep-diamond
geni-performance-benchmark vs HTTP.jl
tech.ml.dataset vs tablecloth
geni-performance-benchmark vs tablecloth
tech.ml.dataset vs dtype-next
geni-performance-benchmark vs functorch
tech.ml.dataset vs geni
geni-performance-benchmark vs TailRec.jl
tech.ml.dataset vs clerk
geni-performance-benchmark vs geni
tech.ml.dataset vs hanami