ChemNames
A CLI utility to retrieve chemical data (SMILES, InChI, Full Names) from PubChem and map Compound names to their corresponding identifiers.
Installation
This package is managed with standard Python tools and can be installed via pip.
- Clone the repository.
- Install the package in editable mode (or normal mode):
pip install .
Or using uv to manage the environment:
uv pip install .
After installation, the CLI tool addchemnames will be available in your path.
Usage
1. Retrieve Chemical Data
The main utility reads a CSV file containing a Compound column, queries PubChem, and outputs a new CSV with added SMILES, InChI, and Full Name columns.
Input CSV Format:
The input file MUST contain a column named Compound.
Example input.csv:
Compound,ID
Aspirin,1
Caffeine,2
Run the command:
addchemnames input.csv output.csv
Output:
The tool will generate output.csv with the enriched data. If a compound is not found, "xxxxxx" will be used as the placeholder.
2. Add KEGG IDs
If you have a CSV file that already contains PubChem CIDs (e.g., from a previous step or source), you can use add_keggs.py (located in the root of the repository) to append KEGG IDs.
Run the command:
python add_keggs.py input_with_cids.csv output_with_keggs.csv
Notes
- Network Requests: This tool makes network requests to PubChem. Large files may take some time to process.
- Rate Limiting: The tool uses threading to speed up requests, but be mindful of PubChem's usage policies.
- Data Accuracy: Data is fetched "as is" from PubChem.
License
MIT
Metadata
Release files for chemnames 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| chemnames-0.2.1.tar.gz | 4.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| chemnames-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.0 kB
Release files / chemnames-0.2.1.tar.gz
| Download URL | chemnames-0.2.1.tar.gz |
|---|---|
| Size | 4.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / chemnames-0.2.1-py3-none-any.whl
| Download URL | chemnames-0.2.1-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
8dda3e901714fd276837eb69315881c217ce06e9c6cee052c7607c930c92f811
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Feb 13, 2026.
Transparency log