🔬 Scope
Scalable metrics logging and analysis.
Features
- 🚀 Scalable: Quickly log and view petabytes of metrics, thousands of keys, and large videos.
- 🎞️ Formats: Log and view scalars, text, images, and videos. Easy to extend with custom formats.
- 🧑🏻🔬 Productivity: Metrics viewer with focus on power users with full keyboard support.
- ☁️ Cloud support: Directly write to and read from Cloud storage via pathlib interface.
- 🍃 Lightweight: The writer and reader measure only ~400 lines of Python code.
- 🧱 Reliable: Unit tested and used across diverse research projects.
Usage
Installation
pip install scope
Writing
import scope
writer = scope.Writer(logdir)
for step in range(3):
writer.add(step, {
'foo': 42,
'bar': np.zeros((100, 640, 360, 3), np.uint8),
'baz': 'Hello World',
})
writer.flush()
Viewing
python -m scope.viewer --basedir ... --port 8000
Reading
import scope
reader = scope.Reader(logdir)
print(reader.keys()) # ('foo', 'bar', 'baz')
print(reader.length('foo')) # 3
steps, values = reader['foo']
print(steps) # np.array([0, 1, 2], np.int64)
print(values) # np.array([42, 42, 42], np.float64)
steps, filenames = reader['bar']
reader.load('bar', filenames[-1]) # np.zeros((100, 640, 360, 3), np.uint8)
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