Skip to main content
mcDonald UAP Toolkit

mcdonald is a frame-by-frame analysis toolkit for measuring the kinematics of an unknown object in a single-camera video.

"Science is in default for having failed to mount any truly adequate studies of this problem."

— James E. McDonald

Status: early test version (0.2.13), tried on Linux and macOS, and on Windows so far only by its automatic tests.

Install

  1. Prerequisite: make sure ffmpeg is installed: brew install ffmpeg (Mac), winget install Gyan.FFmpeg (Windows), sudo apt install ffmpeg or sudo dnf install ffmpeg (Linux).

  2. Install mcdonald (needs Python 3.10 or newer):

    python3 -m pip install mcdonald
    
  3. Check your setup, which also provides instructions on what to do next:

    mcdonald setup
    

When a newer version is out, mcdonald-gui offers to update itself when it starts, and the command line prints the command to update with.

New to Python or the terminal? docs/install.md walks through each step in detail.

Use

mcdonald has a graphical interface and a command-line interface. The software is intended to be driven by human users and/or AI agents.

The graphical interface is designed to prompt human users through the steps of analysis. To start the graphical interface:

mcdonald-gui

The command-line interface is designed for developers, advanced users, and AI agents. To start the command-line interface and see a summary of options:

mcdonald

Prompting an agent

You can invoke an AI agent to assist at any point in the analysis, whether before or after a human has looked at the video. Here is a sample prompt that you can pass to your favorite command-line AI model:

Please use the mcdonald toolkit to analyze the PR144 video released under PURSUE. Run mcdonald readme to get started.

Support

mcdonald is free and open source. To support its development, you can donate through Project Janus at Blue Marble Space, a 501(c)(3) nonprofit. Donations are tax-deductible as allowed by law.

License

Copyright (c) 2026 Jacob Haqq Misra. Released under the BSD 3-Clause License.

Metadata

Release files for mcdonald 0.2.13

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

Source distribution (sdist)

Source distribution for mcdonald 0.2.13
File Size Uploaded Provenance
mcdonald-0.2.13.tar.gz 645.6 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for mcdonald 0.2.13
File Interpreter ABI Platform
mcdonald-0.2.13-py3-none-any.whl Python 3 none any Details

Total release size: 1.2 MB

Release files / mcdonald-0.2.13.tar.gz

Download URL mcdonald-0.2.13.tar.gz
Size 645.6 kB
Tags Source
SHA-256 checksum
How to use checksums
00be614251643871f39e619f5a108a1ebcbd2b044827be47eb7d8f0160cde009
BLAKE2b-256 checksum
How to use checksums
db15abbbfefda4ee48448fe423347d54c3820346c737832f794a0b2e8a76a8d9
Upload date
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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.

Transparency log

Release files / mcdonald-0.2.13-py3-none-any.whl

Download URL mcdonald-0.2.13-py3-none-any.whl
Size 552.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ba0e6af0c5e0b1ec4af228d5e1f83e4f0ee9fc32b2f4260ba0dc545bbce7c90a
BLAKE2b-256 checksum
How to use checksums
3dc6fe4d95c304cfe1ee28e46fad18d5241a857e74b9781bc48509c10b2ad0bf
Upload date
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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.

Transparency log

Security for mcdonald 0.2.13

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.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for mcdonald-0.2.13.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page