Official Resources
- Source Repository: https://github.com/materialsproject/api
- Documentation: https://materialsproject.github.io/api/
- PyPI: https://pypi.org/project/mp-api/
- License: Open source (modified BSD)
Overview
mp-api is the official Python API client for the Materials Project database. It provides programmatic access to Materials Project data including computed materials properties, phase diagrams, phonon data, and elastic constants, replacing the legacy pymatgen.ext.matproj interface.
Scientific domain: Materials Project API client, database access, data retrieval
Target user community: Researchers querying Materials Project data programmatically
Theoretical Methods
- REST API client for Materials Project
- Materials data querying
- Phase diagram construction
- Pourbaix diagram access
- Elastic tensor data
- Phonon and band structure data
Capabilities (CRITICAL)
- Query materials by formula, elements, properties
- Access computed properties (energy, bandgap, etc.)
- Phase diagram data
- Pourbaix diagram data
- Elastic tensor data
- Phonon data
- Band structure and DOS data
- X-ray diffraction patterns
Sources: GitHub repository, documentation
Key Strengths
Comprehensive Access:
- All Materials Project data
- Computed properties
- Experimental data
- Synthesis data
Modern API:
- RESTful interface
- Efficient queries
- Pagination support
- Bulk data retrieval
Integration:
- pymatgen objects returned
- Phase diagram construction
- Pourbaix diagram analysis
- Direct structure download
Inputs & Outputs
-
Input formats:
- API queries (formula, elements, properties)
- Materials IDs
- Chemical systems
-
Output data types:
- Structure data (pymatgen)
- Computed properties
- Phase diagrams
- Band structures
Interfaces & Ecosystem
- pymatgen: Data objects
- Materials Project: Data source
- Python: Core language
Performance Characteristics
- Speed: Fast (API queries)
- Accuracy: MP database quality
- System size: Any
- Rate limits: API key required
Computational Cost
- API queries: Free (with key)
- No DFT needed: Database access
- Typical: Very efficient
Limitations & Known Constraints
- API key required: Must register with MP
- Rate limits: Throttled access
- Data quality: Depends on MP calculations
- Version changes: API may change
Comparison with Other Codes
- vs pymatgen MPRester (legacy): mp-api is the modern replacement
- vs OPTIMADE: mp-api is MP-specific, OPTIMADE is multi-database
- vs aflow-client: mp-api is MP, aflow-client is AFLOW
- Unique strength: Official Python API client for Materials Project with comprehensive data access
Application Areas
Data Mining:
- Materials property queries
- High-throughput screening
- Dataset construction
- ML training data
Analysis:
- Phase diagram construction
- Pourbaix diagram analysis
- Stability assessment
- Property trends
Research:
- Literature data comparison
- Benchmark datasets
- Materials recommendation
- Property prediction validation
Best Practices
API Usage:
- Register for API key
- Use efficient queries
- Cache results locally
- Respect rate limits
Data:
- Check data provenance
- Verify with original calculations
- Use latest MP data version
- Cite Materials Project
Community and Support
- Open source (modified BSD)
- PyPI installable
- Comprehensive documentation
- Materials Project team maintained
- Active development
Verification & Sources
Primary sources:
- GitHub: https://github.com/materialsproject/api
- Documentation: https://materialsproject.github.io/api/
Confidence: VERIFIED
Verification status: ✅ VERIFIED
- Source code: ACCESSIBLE (GitHub)
- Documentation: ACCESSIBLE (website)
- PyPI: AVAILABLE
- Specialized strength: Official Python API client for Materials Project with comprehensive data access