Ascent Science Python SDK

ascent-science is the lightweight core SDK. Algorithm implementations are installed independently and discovered through Python entry points.

python -m pip install ascent-science==0.9.7
python -m pip install ascent-science-aco==0.1.3

import ascent

solver = ascent.combinatorial.ACOOptimizer(ants=30, iterations=100, seed=42)
result = solver.solve_tsp([[0, 2, 3], [2, 0, 1], [3, 1, 0]])
print(result.best_route, result.best_distance)

Distribution	Public Python API
`ascent-science-aco`	`ascent.combinatorial.ACOOptimizer`
`ascent-science-pso`	`ascent.combinatorial.PSOOptimizer`
`ascent-science-exact-qubo`	`ascent.qubo.ExactQUBOOptimizer`
`ascent-science-cim`	`ascent.quantum.CIMOptimizer`
`ascent-science-sqa`	`ascent.quantum.SimulatedQuantumAnnealing`
`ascent-science-svm`	`ascent.machine_learning.SVMClassifier`
`ascent-science-knn`	`ascent.machine_learning.KNNClassifier`
`ascent-science-xgboost`	`ascent.machine_learning.XGBoostClassifier`
`ascent-science-lightgbm`	`ascent.machine_learning.LightGBMClassifier`
`ascent-science-lkh`	`ascent.combinatorial.LKHOptimizer`

Trying to access a missing plugin raises an actionable error containing its exact pip install command. Installing or removing one algorithm does not change any other algorithm package.

Metadata

Release files for ascent-science 0.9.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for ascent-science 0.9.7
File	Interpreter	ABI	Platform	Reset
ascent_science-0.9.7-py3-none-any.whl 30.1 kB Sep 24, 2026	Python 3	none	any	Details

Release files / ascent_science-0.9.7-py3-none-any.whl

Download URL	ascent_science-0.9.7-py3-none-any.whl
Size	30.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`e4db881dd42237536ae46a182e1be66adeb1d0aab1d23ea7ff70b061bad46397`
BLAKE2b-256 checksum How to use checksums	`0e061026b9d57663bce4cc753235f2e1012306cf60d576000f13816f55cb28b1`
Upload date	Sep 24, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.3`