csips VS python-mip

Compare csips vs python-mip and see what are their differences.

csips

A pure-python integer programming solver (by cwpearson)

python-mip

Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs (by coin-or)
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csips python-mip
1 1
1 507
- 2.0%
0.0 7.1
about 2 years ago 2 months ago
Python Python
GNU General Public License v3.0 only Eclipse Public 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.

csips

Posts with mentions or reviews of csips. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-20.
  • Ask HN: Do you use an optimization solver? Which one? Why? Do you like it?
    12 projects | news.ycombinator.com | 20 Apr 2022
    I actually just finished implementing an extremely simple Integer Linear Program solver in Python as an educational exercise, wrapping scipy's linprog function to solve the linear relaxation. It has an expression syntax so you don't have to specify the matrix and vectors for the standard form, and it does branch-and-cut on the linear relaxation

    https://github.com/cwpearson/csips

python-mip

Posts with mentions or reviews of python-mip. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-20.
  • Ask HN: Do you use an optimization solver? Which one? Why? Do you like it?
    12 projects | news.ycombinator.com | 20 Apr 2022
    I've been using CBC via python-mip (https://github.com/coin-or/python-mip). It's great because it's got a super clean interface (milp variables/expressions/constraints), the code is quite accessible, and it's low overhead which makes it good for solving many very small problems.

    Community sentiment seems to be beginning to shift toward favouring the HiGHS solver (https://github.com/ERGO-Code/HiGHS) over CBC. Something I'm keeping a close eye on.

    nextmv seems to pitch itself as a generic solving ("decision automation") platform or something (unclear). But it seems that the only fleshed out product offering is for vehicle routing, based on the docs. Are there plans to offer, for instance, a solver binary that can be used to solve generic problems?

    Also all the github repos under https://github.com/nextmv-io are private, so links from docs are 404.

What are some alternatives?

When comparing csips and python-mip you can also consider the following projects:

HiGHS - Linear optimization software

or-tools - Google's Operations Research tools:

HybridTSPSolver - A hybrid TSP solver that I made for my master's degree thesis in computer science.

SciPy - SciPy library main repository

osqp - The Operator Splitting QP Solver

clpz - Constraint Logic Programming over Integers

EA-FC-24-Automated-SBC-Solving - EA FC 24 Automated SBC Solving using Integer Programming ⚽

exact

minizinc-python - Access to all MiniZinc functionality directly from Python

golomb-solver - Create Golomb rulers with constraint programming