facebookresearch / fbpcp
FBPCP (Facebook Private Computation Platform) is a secure, privacy safe and scalable architecture to deploy MPC (Multi Party Computation) applications in a distributed way on virtual private clouds. FBPCF (Facebook Private Computation Framework) is for scaling MPC computation up via threading, while FBPCP is for scaling MPC computation out via Private Scaling architecture.
Summary
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| Main Code: 3,468 LOC (101 files) = PY (99%) + YML (<1%) + TOML (<1%) Secondary code: Test: 3,440 LOC (31); Generated: 0 LOC (0); Build & Deploy: 12 LOC (1); Other: 195 LOC (5); |
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| Duplication: 6% | |||
| File Size: 0% long (>1000 LOC), 88% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 71% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 74% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (23 components) | ||
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8 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
6 files |
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Latest commit date: 2022-01-24
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14
commits
(30 days)
9
contributors
(30 days) |
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