materials-data-facility / connect_clientLinks
The MDF Connect Client is the Python client to easily submit datasets to MDF Connect.
☆10Updated last year
Alternatives and similar repositories for connect_client
Users that are interested in connect_client are comparing it to the libraries listed below
Sorting:
- ☆14Updated 3 years ago
- An extensible library of tools that extract metadata from scientific files☆15Updated 2 years ago
- Forge is the Python package to access data in the Materials Data Facility☆31Updated 3 years ago
- Python toolkit for working with PIFs☆8Updated 3 years ago
- Crystal structure container and parsers for structure formats.☆35Updated 2 weeks ago
- A graph database tool for experimental data in materials science and chemistry.☆19Updated 7 months ago
- A one-stop-shop for handling data in computational spectroscopy☆16Updated 5 months ago
- ☆30Updated 3 weeks ago
- ☆33Updated this week
- Library for steering campaigns of simulations on supercomputers☆57Updated 2 months ago
- A Working Group on connecting and advancing interoperability of efforts on automated extraction of metadata from materials and chemical f…☆14Updated last year
- ☆19Updated last year
- ☆23Updated this week
- Curated list of known efforts in collecting and/or curating of chemical/materials data☆21Updated 4 years ago
- Implementation of Koopmans-compliant functionals in Quantum ESPRESSO☆16Updated 3 weeks ago
- A synthesis planning algorithm designed by Jiadong Chen, Wenhao Sun, in University of Michigan.☆19Updated 11 months ago
- This repository contains organizational notes and details for the CECAM MADICES workshop, 7th-9th February 2022.☆13Updated 3 years ago
- Coarse-graining Hybrid and Inorganic Crystals (CHIC) is a Python package for automating the cleaning-up and coarse-graining of crystals a…☆14Updated 8 months ago
- Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry☆82Updated 2 months ago
- NIST Interatomic Potential Repository property calculation tools☆24Updated last year
- ☆15Updated 3 years ago
- Machine learning guided optimal composition selection for high strength Niobium alloy☆11Updated 2 years ago
- Implements core functions for AiiDAlab.☆16Updated last month
- A python-based crystal viewer built upon the fresnel and pymatgen libraries.☆16Updated last year
- Python bindings to ObjCryst++ Object-Oriented Crystallographic Library☆17Updated last week
- Here, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automate…☆36Updated 4 years ago
- Curatable database for experimental and theoretical data on solid materials.☆13Updated 5 months ago
- Onsager coefficients for interstitial and vacancy-mediated diffusion☆13Updated 6 months ago
- Reference implementation in python for Citrination api☆14Updated 4 years ago
- Tutorials, notebooks, issue tracker, and website on the MPDS API: the data retrieval interface for the Materials Platform for Data Scienc…☆27Updated 2 months ago