facebookresearch / labgraph
LabGraph is a Python framework for rapidly prototyping experimental systems for real-time streaming applications. It is particularly well-suited to real-time neuroscience, physiology and psychology experiments.
Summary
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| Main Code: 18,901 LOC (243 files) = PY (37%) + H (30%) + CPP (27%) + HPP (3%) + CSS (<1%) + YML (<1%) + IN (<1%) Secondary code: Test: 3,631 LOC (66); Generated: 0 LOC (0); Build & Deploy: 8 LOC (4); Other: 1,615 LOC (36); |
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| Duplication: 5% | |||
| File Size: 5% long (>1000 LOC), 57% short (<= 200 LOC) | |||
| Unit Size: 6% long (>100 LOC), 56% short (<= 10 LOC) | |||
| Conditional Complexity: 5% complex (McCabe index > 50), 63% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (25 components) | ||
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6 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
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Features of interest:
TODOs
11 files |
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Latest commit date: 2022-01-18
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10
commits
(30 days)
4
contributors
(30 days) |
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