Skip to main content

🧪 funcnodes-chemprop

funcnodes-chemprop is a funcnodes module that integrates the Chemprop deep learning framework for molecular property prediction into node-based pipelines. It allows you to load molecular data, featurize molecules, train a Chemprop model, and predict properties — all in an interactive, no-code/low-code environment powered by FuncNodes.

🧑‍💻 Developer Notes

We currently face issues if you use this module on Mac with enabled Metal Performance Shaders, we hope to be able to resolve this soon.

Metadata

Release files for funcnodes-chemprop 0.1.3

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

Source distribution (sdist)

Source distribution for funcnodes-chemprop 0.1.3
File Size Uploaded
funcnodes_chemprop-0.1.3.tar.gz 22.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for funcnodes-chemprop 0.1.3
File Interpreter ABI Platform
funcnodes_chemprop-0.1.3-py3-none-any.whl Python 3 none any Details

Total release size: 40.9 kB

Release files / funcnodes_chemprop-0.1.3.tar.gz

Download URL funcnodes_chemprop-0.1.3.tar.gz
Size 22.0 kB
Tags Source
SHA-256 checksum
How to use checksums
4705db255c1fcf1b44759282276f635c0d5d919b477237d4a6a468eb1253050c
BLAKE2b-256 checksum
How to use checksums
d276985474537c75143eb31be410c71b4b52947dabcdee23fdf86b07eb1f0dfe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

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 Apr 16, 2025.

Transparency log

Release files / funcnodes_chemprop-0.1.3-py3-none-any.whl

Download URL funcnodes_chemprop-0.1.3-py3-none-any.whl
Size 18.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9b19145f18f755830fb413edebb1a976a425458ce9d5eac71322be17300324d8
BLAKE2b-256 checksum
How to use checksums
3a0d57b660421e48b9c4a767f40cfef918ba30a9bef792abf7a77735b81a4bd6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

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 Apr 16, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

0.1.3 This release

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

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