Cheminfo

D 54 completed
Other
unknown / python · tiny
12
Files
1,164
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#394533
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
17.68
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47299
Member of a group with 1 similar repo(s) — canonical #94036 view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility analyzer · published findings · https://repobility.com

AI Prompt

Build me a comprehensive chemical compound analyzer using Python and Streamlit. I need a dashboard where I can input a compound name or SMILES string, or upload a batch CSV/Excel file for analysis. The tool must generate physicochemical properties, visualize the 2D structure using RDKit, perform drug-likeness evaluations (like Lipinski's Rule of 5), and calculate MRM mass spectrometry data. It should also detect functional groups and integrate with PubChem for references. Finally, I need the ability to download the results, including properties and structure images, as CSV or PNG files.
python streamlit rdkit cheminformatics drug-discovery cheminfo web-app data-analysis
Generated by gemma4:latest

Catalog Information

A comprehensive chemical compound analyzer built with Streamlit and RDKit. Enter a compound name, SMILES string, or upload a batch file to instantly generate physicochemical properties, 2D structures, MRM mass spectrometry data, drug-likeness evaluations, and PubChem references.

Description

A comprehensive chemical compound analyzer built with Streamlit and RDKit. Enter a compound name, SMILES string, or upload a batch file to instantly generate physicochemical properties, 2D structures, MRM mass spectrometry data, drug-likeness evaluations, and PubChem references.

Novelty

3/10

Tags

python streamlit rdkit cheminformatics drug-discovery cheminfo web-app data-analysis

Technologies

streamlit

Claude Models

claude-opus-4-6

Quality Score

D
54.5/100
Structure
49
Code Quality
56
Documentation
63
Testing
0
Practices
75
Security
100
Dependencies
60

Strengths

  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency

Security & Health

4.6h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (10)
Repobility · code-quality intelligence platform · https://repobility.com
MIT
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
91.1%
markdown
8.4%
text
0.6%

Frameworks

None detected

Concepts (2)

Page rendered by Aljefra Mapper · scored by Repobility (https://repobility.com)
CategoryNameDescriptionConfidence
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
auto_descriptionProject DescriptionA comprehensive chemical compound analyzer built with Streamlit and RDKit. Enter a compound name, SMILES string, or upload a batch file to instantly generate physicochemical properties, 2D structures, MRM mass spectrometry data, drug-likeness evaluations, and PubChem references.80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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