Skip to main content

descriptron-core

Evidence-tiered species descriptions, keys and audits from phenomic matrices.

Pure pip: no torch, no CUDA, no compiler. Installs in about a minute on Linux, macOS and Windows. With the deposited COCO files it reproduces every analysis in the methods paper without a model of any kind — the audit, key, matrix, novelty scoring and delimitation are all deterministic.

pip install descriptron-core
descriptron --list                 # the 62 programs in this package
descriptron biorag_key_builder_v1 --help
biorag-audit --help

Writing treatments is the only step that calls a language model:

pip install "descriptron-core[llm]"

For mask prediction, landmark transfer and scale-bar reading, add descriptron-vision; for the annotation GUI, descriptron-gui.

The programs are shipped as data and executed with runpy, exactly as they run from a shell, so packaging cannot quietly change what they do.

Release files for descriptron-core 2.0.2

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

Source distribution (sdist)

Source distribution for descriptron-core 2.0.2
File Size Uploaded
descriptron_core-2.0.2.tar.gz 2.9 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for descriptron-core 2.0.2
File Interpreter ABI Platform
descriptron_core-2.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 5.9 MB

Release files / descriptron_core-2.0.2.tar.gz

Download URL descriptron_core-2.0.2.tar.gz
Size 2.9 MB
Tags Source
SHA-256 checksum
How to use checksums
8b2cd2dc607811042db55d3eb51f35cabdc3e0c719e6ad4a5665590336861f5a
BLAKE2b-256 checksum
How to use checksums
0fbdcc06046e4ef47314ea8da8542508abb54fd4e92580d18fa88ef0a0828666
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.4

Release files / descriptron_core-2.0.2-py3-none-any.whl

Download URL descriptron_core-2.0.2-py3-none-any.whl
Size 3.0 MB
Tags Python 3
SHA-256 checksum
How to use checksums
0049941dca33c60f126e45f77352e4d454da6122b08fb590289510e30bd17b23
BLAKE2b-256 checksum
How to use checksums
d58b76ca62a0627dc480c683ff4f67570391d232b78cb2eae5bfef05440a08a5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.4

Release history Release notifications | RSS feed

2.1.1

2 release files

2.1.0

2 release files

2.0.4

2 release files

2.0.3

2 release files

This release

2.0.2 This release

2 release files

2.0.1

2 release files

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