No project description provided
Project description
MolTrack
A lightweight, flexible, and extendable FastAPI server for managing chemical compounds, batches, and properties, powered by RDKit-enabled Postgres for chemical intelligence. Ideal for labs, startups, and small- to medium-sized biotech companies.
MolTrack is:
- Open-source: Fully accessible code under the MIT license
- Easy to use: CLI and REST APIs for seamless workflow integration
- Chemically intelligent: Supports structure-aware queries
- Hackable: Simple to extend, customize, and integrate proprietary logic
- Enterprise-ready: Scales reliably for production environments
- Fast: Optimized for high performance
See also: User stories • Features • Developer guide
Table of Contents
Usage
CLI tool
MolTrack provides a command-line interface for managing compounds, batches and assay data directly from your terminal. Currently, the CLI can be run from the MolTrack root folder using:
python mtcli.py <command> [options]
To see the full list of available commands and usage examples, refer to the CLI usage guide.
Web server
MolTrack can be run locally as a web server using the automated setup scripts:
setup.sh— for macOS/Linuxsetup.bat— for Windows
These scripts handle all setup steps automatically, including building the Docker image, running the container, creating a Python virtual environment, and syncing dependencies. They can also optionally start the server.
Note: Docker must be installed and running before using these scripts.
macOS/Linux
chmod +x setup.sh
./setup.sh # Run setup only
./setup.sh --run_server # Run setup and start the server
Windows
setup.bat # Run setup only
setup.bat --run_server # Run setup and start the server
The setup typically takes 2–3 minutes. Once ready, open http://localhost:8000/docs to access the API documentation.
Integration with Datagrok
To make MolTrack truly accessible, we aim to provide chemists with an intuitive UI, without requiring them to run Docker containers or use the CLI.
To achieve this, we have developed an MIT-licensed Datagrok MolTrack plugin. The plugin allows users to interact with MolTrack directly within the Datagrok platform, providing features such as:
- Compound, batch, and assay data registration
- Powerful structure-based search
- Effortless integration with Datagrok analysis and visualization tools
Note: While both MolTrack and the MolTrack plugin are open-source, the Datagrok platform itself is proprietary. It is free for personal use, academia, and non-profit research. Claim your license here.
Features
Core MolTrack capabilities:
- Registration of compounds, batches, and assay data
- Metadata and property management
- Structure-based and metadata search
- Audit trails and role-based access control
- RESTful API for integration with external systems
➡️ Explore the full roadmap: Features & Roadmap
➡️ Detailed API documentation: API Reference
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dg_mol_track-0.6.15.tar.gz.
File metadata
- Download URL: dg_mol_track-0.6.15.tar.gz
- Upload date:
- Size: 297.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ea551e893ea636a2596af0a94ff4a164aed7fc2c048332fb3897b88a66a8792e
|
|
| MD5 |
fd282fc33278a5d68cdcfd8b04d78122
|
|
| BLAKE2b-256 |
1d98e443645f93eadd8954d1355e873d8aa98132ef429b291d09a9b77cc1048f
|
File details
Details for the file dg_mol_track-0.6.15-py3-none-any.whl.
File metadata
- Download URL: dg_mol_track-0.6.15-py3-none-any.whl
- Upload date:
- Size: 72.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8e369c9a293b1a12246d0cbc4d63750c9ca8881848e742eb104943be329ef544
|
|
| MD5 |
6a2ecfbb27f955ea6a76f9349696fddd
|
|
| BLAKE2b-256 |
a4c1a83fc92fbcda091178e6a034e38cd6727dc6c8f9aed0484f328f786a0412
|