molecular-string-renderer
importedtherapeutics/molecular-string-renderer
A python utility for rendering 2D molecular graph images given a string representation (SMILES, SELFIES)
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- hunterheidenreich.com/
- Documentation
- unknown
- Tags
- cheminformatics · chemistry · molecular-visualization · python · rdkit · rendering · selfies · smiles
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- molgencheminformatics · chemistry · rdkit · selfies · smiles
Lightweight toolkit for de novo molecular generation: SMILES & SELFIES tokenizers, CharRNN / MolGPT / VAE models, training, sampling, and MOSES-style metrics.
- SMILESAugmentationcheminformatics · rdkit · selfies
SMILES, SELFIES and Reaction SMILES augmentation using RDKit
- ALKYLcheminformatics · chemistry · rdkit · smiles
Claude Plugin for CompChem , Drug Discovery & Organic Chemistry reasoning
- chematiccheminformatics · chemistry · rdkit · smiles
A pure-Rust cheminformatics library targeting RDKit feature parity — zero C/C++ by default.
- chemistry_drawercheminformatics · chemistry · rdkit · smiles
Draw molecules with plotly!
- Rxitectselfies · smiles
A collection of deep reinforcement learning-based & GFlowNet drug molecule generators focused on generation of molecules using Graphs/SELFIES guided by modern retrosynthesis tools to increase…
- api.github.com/repos/hunter-heidenreich/molecular-string-rendererretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-05-31, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/47.json→ .entries["molecular-string-renderer"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.