numcl-benchmarks
benchmarks against numpy, julia (by numcl)
statistical-learning
Statistical learning models for the Common Lisp (by sirherrbatka)
| numcl-benchmarks | statistical-learning | |
|---|---|---|
| 1 | 1 | |
| 4 | 11 | |
| - | - | |
| 0.0 | 7.3 | |
| almost 4 years ago | about 2 months ago | |
| Python | Common Lisp | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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.
numcl-benchmarks
Posts with mentions or reviews of numcl-benchmarks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-16.
-
Anybody using Common Lisp or clojure for data science
For example, numcl aims to be a clone of numpy. The published benchmarks are not impressive. My aim is not to second guess the author or belittle his project and effort.
statistical-learning
Posts with mentions or reviews of statistical-learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-16.
-
Anybody using Common Lisp or clojure for data science
Yeah, I use CL for data science, despite lack of suitable tools. I even ended up writing my own: https://github.com/sirherrbatka/clusters https://github.com/sirherrbatka/vellum https://github.com/sirherrbatka/vellum-plot https://github.com/sirherrbatka/statistical-learning
What are some alternatives?
When comparing numcl-benchmarks and statistical-learning you can also consider the following projects:
neanderthal - Fast Clojure Matrix Library
qvm - The high-performance and featureful Quil simulator.
vellum - Data Frames for Common Lisp
vellum-plot
hissp - It's Python with a Lissp.
CLPython - An implementation of Python in Common Lisp
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
clusters - Variety of clustering tools for the Common Lisp
numcl-benchmarks vs neanderthal
statistical-learning vs qvm
numcl-benchmarks vs vellum
statistical-learning vs neanderthal
numcl-benchmarks vs qvm
statistical-learning vs vellum-plot
numcl-benchmarks vs vellum-plot
statistical-learning vs hissp
numcl-benchmarks vs CLPython
statistical-learning vs vellum
numcl-benchmarks vs dtype-next
statistical-learning vs clusters