glum
High performance Python GLMs with all the features! (by Quantco)
tabmat
Efficient matrix representations for working with tabular data (by Quantco)
| glum | tabmat | |
|---|---|---|
| 2 | 1 | |
| 285 | 103 | |
| 2.8% | 1.9% | |
| 8.3 | 8.2 | |
| 9 days ago | 9 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | 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.
glum
Posts with mentions or reviews of glum.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-11.
-
[P] glum: High performance Python generalized linear modeling, a glmnet alternative!
Thanks for the comment. Are you installing through conda or pip? conda install -c conda-forge glum should work for you! pip installation is not currently properly/fully supported (https://github.com/Quantco/glum/issues/463).
tabmat
Posts with mentions or reviews of tabmat.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-11.
-
[P] glum: High performance Python generalized linear modeling, a glmnet alternative!
We're also releasing tabmat (https://github.com/Quantco/tabmat/), a tabular matrix backend for glum. It supports mixes of dense, sparse and categorical matrices. On some operations, tabmat is 50x faster than scipy.sparse! And it's memory-efficient.
What are some alternatives?
When comparing glum and tabmat you can also consider the following projects:
vouch-proxy - an SSO and OAuth / OIDC login solution for Nginx using the auth_request module
pyGAM - [HELP REQUESTED] Generalized Additive Models in Python
pycm - Multi-class confusion matrix library in Python
EvoTrees.jl - Boosted trees in Julia
Sparsebit - A model compression and acceleration toolbox based on pytorch.
xcalib - Load 'vcgt'-tag of ICC profiles to X-server and MS-Windows. Works on calibration stage, which can be a precondition for display ICC color conversions.
mixed-naive-bayes - Naive Bayes with support for categorical and continuous data
voicemeeter-auto-affinity - Automatically sets the affinity of "audiodg.exe" to only one core on computer start to fix the crackling noises that can occur in VoiceMeeter.