Microsoft Graph Efficient Operations
Code demonstrating how you can efficiently access and modify Microsoft 365 data using Microsoft Graph APIs. Parallelization and batching patterns are demonstrated.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gush | 991 |  | 3 | 1 | a year ago | 20 | March 12, 2019 | 14 | mit | Ruby |
| Fast and distributed workflow runner using ActiveJob and Redis | ||||||||||
| Graphkit Learn | 107 | 5 months ago | 26 | October 02, 2020 | 4 | gpl-3.0 | Jupyter Notebook | |||
| A python package for graph kernels, graph edit distances, and graph pre-image problem. | ||||||||||
| Redgrapes | 19 | 4 months ago | 19 | mpl-2.0 | C++ | |||||
| Resource-based, Declarative task-Graphs for Parallel, Event-driven Scheduling :grapes: | ||||||||||
| Microsoft Graph Efficient Operations | 8 | 6 years ago | mit | C# | ||||||
| Code demonstrating how you can efficiently access and modify Microsoft 365 data using Microsoft Graph APIs. Parallelization and batching patterns are demonstrated. | ||||||||||
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C Sharp
Graph
Microsoft
Parallelization