Skip to main content

No project description provided

Project description

MolTrack

PyPI License

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 storiesFeaturesDeveloper 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/Linux
  • setup.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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dg_mol_track-0.6.14.tar.gz (297.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dg_mol_track-0.6.14-py3-none-any.whl (72.3 kB view details)

Uploaded Python 3

File details

Details for the file dg_mol_track-0.6.14.tar.gz.

File metadata

  • Download URL: dg_mol_track-0.6.14.tar.gz
  • Upload date:
  • Size: 297.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for dg_mol_track-0.6.14.tar.gz
Algorithm Hash digest
SHA256 ef5f135d610d410763196f030ed935d285dbbe974ec8ff521cfe35b08fa7b18d
MD5 bc5ab59dc0e310c4d77ef5e676c52862
BLAKE2b-256 72f0e713da3344e0c0f73f7d4d79c444d03e082ed4bbc4112d9f65e31b4de858

See more details on using hashes here.

File details

Details for the file dg_mol_track-0.6.14-py3-none-any.whl.

File metadata

  • Download URL: dg_mol_track-0.6.14-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

Hashes for dg_mol_track-0.6.14-py3-none-any.whl
Algorithm Hash digest
SHA256 61c5bf26766cd9360ed9db77593cb37f86f1cb85e3c7592391ea1611a7d12f94
MD5 f7dda4a56337a8ad62a59be68d856c38
BLAKE2b-256 8128551f58734fb93cf9bff904b1367e01c69164d37e96f65d71059c5dbd01eb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page