mdplib

A Python library of algorithms for solving infinite-horizon, discounted Markov Decision Processes (MDPs), with a performance-critical core written in C++ (via pybind11).

Implements:

Value Iteration (Jacobi and Gauss-Seidel variants)
Policy Iteration
Q-Learning and SARSA (model-free reinforcement learning)

Installation

pip install mdplib

Prebuilt wheels are published for Linux, Windows and macOS (Python 3.10-3.14), so this does not require a C++ compiler on your machine. If your platform/Python version has no matching wheel, pip falls back to building from source, which does require a C++17 compiler (the extension is compiled at install time):

git clone https://github.com/LuccaGiannelli/mdp-solver.git
cd mdp-solver
pip install .

Basic usage

from mdp import MDP

S = [0, 1, 2]   # states
A = [0, 1, 2]   # actions

def Pt(sn, a, sn1):
    # returns P(sn1 | sn, a)
    ...

def rt(sn, a, sn1):
    # returns the reward
    ...

problem = MDP(S, A, Pt, rt)

# Value Iteration
problem.VI(gamma=0.9, tol=1e-6)
problem.print_results()

# Policy Iteration
problem.PI(gamma=0.9, tol=1e-6)
problem.print_results()

See examples/basic_example.py for a complete example (a machine maintenance problem).

Available algorithms

Method	Description
`VI`	Value Iteration (Jacobi)
`VIGS`	Value Iteration with Gauss-Seidel
`PI`	Policy Iteration
`QLearning`	Q-Learning (off-policy TD control)
`SARSA`	SARSA (on-policy TD control)

Common parameters

Parameter	Description
`gamma`	Discount factor (0 ≤ γ < 1)
`tol`	Convergence tolerance
`max_iter`	Maximum number of iterations
`v0`	Initial value vector (optional)
`verbose`	Print progress on completion
`norm_type`	0 = relative sup norm, 1 = sup norm, 2 = euclidean norm
`epsilon`	Final epsilon for the epsilon-greedy policy (Q-Learning / SARSA)
`alpha`	Learning rate (Q-Learning / SARSA)

How it works

You define the state space S, action space A, a transition probability function Pt(sn, a, sn1), and a reward function rt(sn, a, sn1). The constructor enumerates all feasible transitions into a CSV (sn,a,sn1,prob,reward) and loads it into a NumPy array; the algorithms then hand that array to the C++ core, which does the inner loops with direct memory access for performance.

After solving, results are available as:

Attribute	Description
`value`	optimal value for each state
`policy`	optimal action for each state
`time`	execution time (seconds)
`n_iterations`	number of iterations to convergence

Adding a new algorithm

Create mdp/algorithms/new_algo.py with a function def NewAlgo(self, ...):
Import it in mdp/algorithms/__init__.py
Attach it to the class in mdp/core.py: NewAlgo = NewAlgo

Tests

pip install pytest
pytest tests/

License

TBD.

Development Status
- 4 - Beta
Operating System
Programming Language
- Python :: 3

Metadata

Development Status
- 4 - Beta
Operating System
Programming Language
- Python :: 3

Release files for mdplib 1.0.0

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

Source distribution (sdist)

Source distribution for mdplib 1.0.0
File	Size	Uploaded
mdplib-1.0.0.tar.gz	12.2 kB	Sep 1, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for mdplib 1.0.0
File	Interpreter	ABI	Platform	Reset
mdplib-1.0.0-cp314-cp314-win_amd64.whl 307.1 kB Sep 1, 2026	CPython 3.14	CPython 3.14	Windows x86-64	Details
mdplib-1.0.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 1.5 MB Sep 1, 2026	CPython 3.14	CPython 3.14	Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64	Details
mdplib-1.0.0-cp314-cp314-macosx_14_0_arm64.whl 111.6 kB Sep 1, 2026	CPython 3.14	CPython 3.14	macOS 14.0+ ARM64	Details
mdplib-1.0.0-cp313-cp313-win_amd64.whl 297.3 kB Sep 1, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
mdplib-1.0.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 1.5 MB Sep 1, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64	Details
mdplib-1.0.0-cp313-cp313-macosx_14_0_arm64.whl 111.8 kB Sep 1, 2026	CPython 3.13	CPython 3.13	macOS 14.0+ ARM64	Details
mdplib-1.0.0-cp312-cp312-win_amd64.whl 297.3 kB Sep 1, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
mdplib-1.0.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 1.5 MB Sep 1, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64	Details
mdplib-1.0.0-cp312-cp312-macosx_14_0_arm64.whl 111.7 kB Sep 1, 2026	CPython 3.12	CPython 3.12	macOS 14.0+ ARM64	Details
mdplib-1.0.0-cp311-cp311-win_amd64.whl 294.5 kB Sep 1, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
mdplib-1.0.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 1.4 MB Sep 1, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64	Details
mdplib-1.0.0-cp311-cp311-macosx_14_0_arm64.whl 108.7 kB Sep 1, 2026	CPython 3.11	CPython 3.11	macOS 14.0+ ARM64	Details
mdplib-1.0.0-cp310-cp310-win_amd64.whl 294.0 kB Sep 1, 2026	CPython 3.10	CPython 3.10	Windows x86-64	Details
mdplib-1.0.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 1.4 MB Sep 1, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64	Details
mdplib-1.0.0-cp310-cp310-macosx_14_0_arm64.whl 107.6 kB Sep 1, 2026	CPython 3.10	CPython 3.10	macOS 14.0+ ARM64	Details

Total release size: 9.4 MB

Release files / mdplib-1.0.0.tar.gz

Download URL	mdplib-1.0.0.tar.gz
Size	12.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`55accdc5b5e31ae512113668969fda846369a7468b148b44589032b10d7e05c6`
BLAKE2b-256 checksum How to use checksums	`e9be18d8d26dfddd0edc9649cfc106a244daf7346b9b716c93dabb53e5e2ca88`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0.tar.gz
SHA-256 checksum: 55accdc5b5e31ae512113668969fda846369a7468b148b44589032b10d7e05c6 Verifying attestations

Release files / mdplib-1.0.0-cp314-cp314-win_amd64.whl

Download URL	mdplib-1.0.0-cp314-cp314-win_amd64.whl
Size	307.1 kB
Tags	CPython 3.14 Windows x86-64
SHA-256 checksum How to use checksums	`993b4fcde825bfa6f53d3ee10230268d862a6011eb54a15f5c10a20c64742a58`
BLAKE2b-256 checksum How to use checksums	`b8c83ba2480e502a13f5443852ea6eada39252f35108d9bb33c5f551ee7fc3b6`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp314-cp314-win_amd64.whl
SHA-256 checksum: 993b4fcde825bfa6f53d3ee10230268d862a6011eb54a15f5c10a20c64742a58 Verifying attestations

Release files / mdplib-1.0.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL	mdplib-1.0.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Size	1.5 MB
Tags	CPython 3.14 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`b2cad5491a5dfe09b50328a174eaaef0daa3eff9a821d94e040acc0e45ca8faa`
BLAKE2b-256 checksum How to use checksums	`0bddd8fe9b602729b7c4791459aa2a1d545cf0febaae42f10357f7db303a6bbe`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: b2cad5491a5dfe09b50328a174eaaef0daa3eff9a821d94e040acc0e45ca8faa Verifying attestations

Release files / mdplib-1.0.0-cp314-cp314-macosx_14_0_arm64.whl

Download URL	mdplib-1.0.0-cp314-cp314-macosx_14_0_arm64.whl
Size	111.6 kB
Tags	CPython 3.14 macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`6e5842b812be1814f1c90aff15aab0f5b03980741755689b590a1bb88c4ea319`
BLAKE2b-256 checksum How to use checksums	`81d396e32ad2cdc77a614889411b4ef453022801607c5fdc961f35c9f0b49243`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp314-cp314-macosx_14_0_arm64.whl
SHA-256 checksum: 6e5842b812be1814f1c90aff15aab0f5b03980741755689b590a1bb88c4ea319 Verifying attestations

Release files / mdplib-1.0.0-cp313-cp313-win_amd64.whl

Download URL	mdplib-1.0.0-cp313-cp313-win_amd64.whl
Size	297.3 kB
Tags	CPython 3.13 Windows x86-64
SHA-256 checksum How to use checksums	`3ae4caeb7b20b83b898cbc8af0926505144c033edf087a32e8a21d2be9ea171a`
BLAKE2b-256 checksum How to use checksums	`45c873385bb0c1d859e330dfa78f9949581e5c28bb8b494be5148e9c923c5bfa`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp313-cp313-win_amd64.whl
SHA-256 checksum: 3ae4caeb7b20b83b898cbc8af0926505144c033edf087a32e8a21d2be9ea171a Verifying attestations

Release files / mdplib-1.0.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL	mdplib-1.0.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Size	1.5 MB
Tags	CPython 3.13 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`7987e94a5b7916d0cabee5fd8481041312dcf354bf053cedafbbf7246df7c898`
BLAKE2b-256 checksum How to use checksums	`07827ea79a3f7c56d094e60a9902f020c59d5b63f109773c800ea4489edd7f3f`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: 7987e94a5b7916d0cabee5fd8481041312dcf354bf053cedafbbf7246df7c898 Verifying attestations

Release files / mdplib-1.0.0-cp313-cp313-macosx_14_0_arm64.whl

Download URL	mdplib-1.0.0-cp313-cp313-macosx_14_0_arm64.whl
Size	111.8 kB
Tags	CPython 3.13 macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`c104c1f86a55c07b7f16bcbd352ea50fc76195c09201784a5828719b12d903d4`
BLAKE2b-256 checksum How to use checksums	`6c10f1b5d29dc9e9c87fe0159416a48140ab489d73609207aab704201529a6ff`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp313-cp313-macosx_14_0_arm64.whl
SHA-256 checksum: c104c1f86a55c07b7f16bcbd352ea50fc76195c09201784a5828719b12d903d4 Verifying attestations

Release files / mdplib-1.0.0-cp312-cp312-win_amd64.whl

Download URL	mdplib-1.0.0-cp312-cp312-win_amd64.whl
Size	297.3 kB
Tags	CPython 3.12 Windows x86-64
SHA-256 checksum How to use checksums	`98b3a6e54bb8ad54ef71a75bf284458dd94e2e8316cbf20728784a6004ae96bb`
BLAKE2b-256 checksum How to use checksums	`9c870cf08a4f383be450a9e23a9984a081f4bb8badb0bec2e98588eecb4fd562`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp312-cp312-win_amd64.whl
SHA-256 checksum: 98b3a6e54bb8ad54ef71a75bf284458dd94e2e8316cbf20728784a6004ae96bb Verifying attestations

Release files / mdplib-1.0.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL	mdplib-1.0.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Size	1.5 MB
Tags	CPython 3.12 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`2181a0ba986c2db649cf07d0c582099e84adf9521ced45066cd3158dee5fb6a8`
BLAKE2b-256 checksum How to use checksums	`02faa3fc44a9092927d4b993a377d3dffd7cac5f930018f31e420cb8eab6519c`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: 2181a0ba986c2db649cf07d0c582099e84adf9521ced45066cd3158dee5fb6a8 Verifying attestations

Release files / mdplib-1.0.0-cp312-cp312-macosx_14_0_arm64.whl

Download URL	mdplib-1.0.0-cp312-cp312-macosx_14_0_arm64.whl
Size	111.7 kB
Tags	CPython 3.12 macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`0efbf7a2a4a671ee85f6998e4d416ebcaeec3007c1581bc5c1d8681c91e4f075`
BLAKE2b-256 checksum How to use checksums	`81890664d9dafbf8f5c8ea9f0423253ccd70a7ae0f2fecdadfb9912a74318ec9`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp312-cp312-macosx_14_0_arm64.whl
SHA-256 checksum: 0efbf7a2a4a671ee85f6998e4d416ebcaeec3007c1581bc5c1d8681c91e4f075 Verifying attestations

Release files / mdplib-1.0.0-cp311-cp311-win_amd64.whl

Download URL	mdplib-1.0.0-cp311-cp311-win_amd64.whl
Size	294.5 kB
Tags	CPython 3.11 Windows x86-64
SHA-256 checksum How to use checksums	`a913e148669c688c49e845aefb02f08e5d7137023f7b21370b5ec217bde060ae`
BLAKE2b-256 checksum How to use checksums	`c36253917eb7b3af9c732f55336eec914f4639dab510a96d98452fcd96ebd2fc`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp311-cp311-win_amd64.whl
SHA-256 checksum: a913e148669c688c49e845aefb02f08e5d7137023f7b21370b5ec217bde060ae Verifying attestations

Release files / mdplib-1.0.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL	mdplib-1.0.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Size	1.4 MB
Tags	CPython 3.11 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`a1d6ce10370168c144ad714442887b05bf168fde48dde4e098e31cf45618c301`
BLAKE2b-256 checksum How to use checksums	`b64b1d3d7e2072ff39a9d59d23ac8b62ffdbc4e69eaffe62bec784feb6b692a0`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: a1d6ce10370168c144ad714442887b05bf168fde48dde4e098e31cf45618c301 Verifying attestations

Release files / mdplib-1.0.0-cp311-cp311-macosx_14_0_arm64.whl

Download URL	mdplib-1.0.0-cp311-cp311-macosx_14_0_arm64.whl
Size	108.7 kB
Tags	CPython 3.11 macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`49cd70b48e24f6b0912568e62bd58f46bc44870095734f23c10749ef44fa6842`
BLAKE2b-256 checksum How to use checksums	`2b34241a8c296b09e8751261c5fc14dfe082a7571d3b7408be6278142cfff331`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp311-cp311-macosx_14_0_arm64.whl
SHA-256 checksum: 49cd70b48e24f6b0912568e62bd58f46bc44870095734f23c10749ef44fa6842 Verifying attestations

Release files / mdplib-1.0.0-cp310-cp310-win_amd64.whl

Download URL	mdplib-1.0.0-cp310-cp310-win_amd64.whl
Size	294.0 kB
Tags	CPython 3.10 Windows x86-64
SHA-256 checksum How to use checksums	`e3be6deb7c28a20f22a899fdddc9fa39ab35cc7fc4ebe3ebe92146da8654a08f`
BLAKE2b-256 checksum How to use checksums	`e007ce853f7b7894c579ceefe9d505be60bd2c0f72a07da3ab361693a1202e23`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp310-cp310-win_amd64.whl
SHA-256 checksum: e3be6deb7c28a20f22a899fdddc9fa39ab35cc7fc4ebe3ebe92146da8654a08f Verifying attestations

Release files / mdplib-1.0.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL	mdplib-1.0.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Size	1.4 MB
Tags	CPython 3.10 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`02f81bba12fac96845cbdda8c1a1cb858912a29779d7c7197f6d9abb5f0aa00f`
BLAKE2b-256 checksum How to use checksums	`903867f32eacbeaa6d449b04661d59a599b8dd40793819a70fe4ba10d5186bb6`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: 02f81bba12fac96845cbdda8c1a1cb858912a29779d7c7197f6d9abb5f0aa00f Verifying attestations

Release files / mdplib-1.0.0-cp310-cp310-macosx_14_0_arm64.whl

Download URL	mdplib-1.0.0-cp310-cp310-macosx_14_0_arm64.whl
Size	107.6 kB
Tags	CPython 3.10 macOS 14.0+ ARM64
SHA-256 checksum How to use checksums	`f919bc86cb32be3d1ab2cf4e5e377b160fc3659059eb1037d00b3a1a4c08898c`
BLAKE2b-256 checksum How to use checksums	`ba3e9ab90f7dc9437ff608639f76413d841619e5a35c7db27b0f1751f3adf167`
Upload date	Sep 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/LuccaGiannelli/mdplib
Publishing commit: github.com/LuccaGiannelli/mdplib/tree/cc7a354a647def52ab2423667b018ff1fd3f8818

Workflow

Publishing configuration: github.com/LuccaGiannelli/mdplib/blob/cc7a354a647def52ab2423667b018ff1fd3f8818/.github/workflows/build-wheels.yml
Publishing logs: github.com/LuccaGiannelli/mdplib/actions/runs/33558395240/attempts/1

Artifact

Subject: mdplib-1.0.0-cp310-cp310-macosx_14_0_arm64.whl
SHA-256 checksum: f919bc86cb32be3d1ab2cf4e5e377b160fc3659059eb1037d00b3a1a4c08898c Verifying attestations

Release history Release notifications | RSS feed

1.0.4

Oct 6, 2026 16 release files

1.0.2

Sep 16, 2026 16 release files

This release

1.0.0 This release

Sep 1, 2026 16 release files

mdplib 1.0.0

mdplib

Installation

Basic usage

Available algorithms

Common parameters

How it works

Adding a new algorithm

Tests

License

Project links

Key dates

1 maintainer

Credits

GitHub Statistics

Requires

Classifiers

Metadata

Project links

Key dates

1 maintainer

Credits

GitHub Statistics

Requires

Classifiers

Release files for mdplib 1.0.0

Source distribution (sdist)

Built distributions (wheels)

Release files / mdplib-1.0.0.tar.gz

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / mdplib-1.0.0-cp314-cp314-win_amd64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / mdplib-1.0.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / mdplib-1.0.0-cp314-cp314-macosx_14_0_arm64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / mdplib-1.0.0-cp313-cp313-win_amd64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / mdplib-1.0.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / mdplib-1.0.0-cp313-cp313-macosx_14_0_arm64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / mdplib-1.0.0-cp312-cp312-win_amd64.whl

Provenance

PyPI Publish Attestation

Identity

Workflow

Artifact

Release files / mdplib-1.0.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Provenance

PyPI Publish Attestation

Identity