tech.io VS geni-performance-benchmark

Compare tech.io vs geni-performance-benchmark and see what are their differences.

tech.io

Generalized IO interface that uses urls and makes doing rapid research easier (by techascent)
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tech.io geni-performance-benchmark
1 3
13 27
- -
3.9 4.1
7 months ago over 3 years ago
Clojure Clojure
Eclipse Public License 1.0 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.

tech.io

Posts with mentions or reviews of tech.io. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-29.

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.

What are some alternatives?

When comparing tech.io and geni-performance-benchmark you can also consider the following projects:

tech.ml.dataset - A Clojure high performance data processing system

jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

tablecloth - Dataset manipulation library built on the top of tech.ml.dataset

HTTP.jl - HTTP for Julia

notespace - using your namespace as a notebook

tech.ml - This library has been superceded by https://github.com/scicloj/scicloj.ml.

scicloj.ml - A Clojure machine learning library

functorch - functorch is JAX-like composable function transforms for PyTorch.

TailRec.jl - A tail recursion optimization macro for julia.

geni - A Clojure dataframe library that runs on Spark