An SDK for rapid development of Globus Flows with Globus Compute
Project description
Gladier provides a simple software interface to enable researchers to rapidly create, manage, and deploy complex automation flows. It has been used as a programmable data capture, storage, and analysis architecture at experimental facilities including the Argonne Leadership Computing Facility and the Advanced Photon Source. Gladier makes it easy to connect heterogeneous data and computing substrates deployed across distributed compute and storage systems and manage using Globus Flows.
Whether you’re working in materials science, X-ray science, automated laboratores, genomics, or any other research field, Gladier can help you streamline your data management and analysis workflows, so you can focus on your scientific discoveries. Try Gladier today and see how it can enhance your research capabilities!
You can install Gladier and Gladier Tools with the following:
pip install gladier gladier-toolsSee the Read-The-Docs getting started.
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 gladier-0.10.0b4.tar.gz.
File metadata
- Download URL: gladier-0.10.0b4.tar.gz
- Upload date:
- Size: 51.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d806f3a2ef775d2d5d44a25e80aaa69e0520f9196998902fea516c2fb28cfc7c
|
|
| MD5 |
c7a415238a671170515920fa90d0c47e
|
|
| BLAKE2b-256 |
d5c2fb8cae0a6e7c49589f00983851b8ba8ba4a5e0a1fc6e49a4ea5f5c064ee7
|
File details
Details for the file gladier-0.10.0b4-py3-none-any.whl.
File metadata
- Download URL: gladier-0.10.0b4-py3-none-any.whl
- Upload date:
- Size: 81.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
91eb66a52e79726e2378c5c0bf18a04ef2377387dda210c08211ea9863cbc1d4
|
|
| MD5 |
48787d2083eedd3f1bccb543dfb97612
|
|
| BLAKE2b-256 |
3a03c55f49a9b606d98a482cb5a56753b2db2cf846b54a756355dfd1a71ab00a
|
