hotstepper
A Numpy based step function library for analysis and profit. More than just taking you up and down. (by TangleSpace)
numpysane
more-reasonable core functionality for numpy (by dkogan)
| hotstepper | numpysane | |
|---|---|---|
| 3 | 4 | |
| 14 | 28 | |
| - | - | |
| 3.2 | 6.2 | |
| about 3 years ago | 5 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
hotstepper
Posts with mentions or reviews of hotstepper.
We have used some of these posts to build our list of alternatives
and similar projects.
- HotStepper package, analysis of count and discontinuous data (queues, forex, trips etc.)
- The Hot Stepper library is for exploring datasets via step function expansions. It's all about tools that just work and no need for extensive knowledge of Pandas or Numpy or whatever, just HotStepper. Analysis and exploration should take less code!
numpysane
Posts with mentions or reviews of numpysane.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-08.
- numpysane: more reasonable core functions for numpy
- Numpysane: Fixing Warts in NumPy
-
Scientific Computing with Perl
I used perl and PDL heavily, before moving to Python and numpy. Both have annoying issues, and oddly, their warts are complementary. Particularly, the core API in PDL is miles better than numpy's. Before I could tolerate actually using numpy, I had to write a library to patch away numpy's warts, by effectively writing a PDL compatibility layer. Check it out:
https://github.com/dkogan/numpysane/
Now the core numpy has usable broadcasting, concatenation and basic linear algebra. Kudos to the PDL team for the excellent core design.
-
Mrcal – Camera Calibrations and More
Also check out the same guy's numpy library - https://github.com/dkogan/numpysane
What are some alternatives?
When comparing hotstepper and numpysane you can also consider the following projects:
visions - Type System for Data Analysis in Python
PDL-Graphics-Gnuplot - Gnuplot-based plotting backend for PDL
mlcourse.ai - Open Machine Learning Course
CPython - The Python programming language
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
mce-cookbook - Cookbook for Many-Core Engine