ceris
Solve LP and MIP optimization models over the Ceris API. No account, no API key.
pip install ceris
import ceris
result = ceris.solve("model.lp") # path to a .lp/.mps file, or LP text directly
print(result.status) # "optimal"
print(result.objective_value)
print(result.solution) # {"x": 4.0, "y": 0.0}
Infeasible models come back with the conflicting constraints named:
if result.status == "infeasible":
print(result.iis["message"]) # "Constraints 'c_low' and 'c_high' cannot all be satisfied together."
Limits: HiGHS solver, 60 s per solve, 100k non-zeros, 5 MB request, ~10 solves/min/IP. Free while in beta.
Full docs: https://ceris.fyi/docs/
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