Blazing fast interval tree implementation in Rust for Python
mise use uv
mise use rust
uv run pytest -k compare # Run comparison test suite
Whenever you update the Rust implementation:
uv run maturin develop
uv run pytest tests
uv run pytest benchmark --benchmark-columns="mean, stddev, ops"
--------------------------------------- benchmark 'add': 2 tests ---------------------------------------
Name (time in ns) Mean StdDev OPS (Mops/s) Rounds Iterations
--------------------------------------------------------------------------------------------------------
test_crabtree 108.2486 (1.0) 5.7141 (1.0) 9.2380 (1.0) 94118 100
test_intervaltree 591.4424 (5.46) 219.7266 (38.45) 1.6908 (0.18) 102135 1
--------------------------------------------------------------------------------------------------------
-------------------------------------- benchmark 'at': 2 tests ---------------------------------------
Name (time in us) Mean StdDev OPS (Kops/s) Rounds Iterations
------------------------------------------------------------------------------------------------------
test_crabtree 32.9287 (1.0) 2.1191 (1.0) 30.3687 (1.0) 23599 1
test_intervaltree 140.2424 (4.26) 5.6647 (2.67) 7.1305 (0.23) 5857 1
------------------------------------------------------------------------------------------------------
------------------------------- benchmark 'instanciation': 2 tests ------------------------------
Name (time in ms) Mean StdDev OPS Rounds Iterations
-------------------------------------------------------------------------------------------------
test_crabtree 1.5824 (1.0) 0.0521 (1.0) 631.9484 (1.0) 589 1
test_intervaltree 48.3733 (30.57) 1.2204 (23.44) 20.6726 (0.03) 21 1
-------------------------------------------------------------------------------------------------
---------------------------------- benchmark 'merge_overlaps': 2 tests -----------------------------------
Name (time in ns) Mean StdDev OPS (Kops/s) Rounds Iterations
----------------------------------------------------------------------------------------------------------
test_crabtree 78.6891 (1.0) 14.6320 (1.0) 12,708.2331 (1.0) 736 1
test_intervaltree 5,927.3480 (75.33) 989.6877 (67.64) 168.7095 (0.01) 43 1
----------------------------------------------------------------------------------------------------------
----------------------------------- benchmark 'overlap': 2 tests -----------------------------------
Name (time in ms) Mean StdDev OPS Rounds Iterations
----------------------------------------------------------------------------------------------------
test_crabtree 2.7506 (1.0) 0.0407 (1.0) 363.5539 (1.0) 356 1
test_intervaltree 2,152.4318 (782.53) 2.8911 (71.04) 0.4646 (0.00) 5 1
----------------------------------------------------------------------------------------------------
-------------------------------- benchmark 'overlaps_interval': 2 tests -------------------------------
Name (time in ns) Mean StdDev OPS (Mops/s) Rounds Iterations
-------------------------------------------------------------------------------------------------------
test_crabtree 70.6958 (1.0) 4.7965 (1.0) 14.1451 (1.0) 136352 100
test_intervaltree 544.0188 (7.70) 29.8408 (6.22) 1.8382 (0.13) 77424 20
-------------------------------------------------------------------------------------------------------
------------------------------------ benchmark 'overlaps_point': 2 tests -------------------------------------
Name (time in ns) Mean StdDev OPS (Kops/s) Rounds Iterations
--------------------------------------------------------------------------------------------------------------
test_crabtree 53.7363 (1.0) 6.1619 (1.0) 18,609.3773 (1.0) 190476 100
test_intervaltree 201,367.2773 (>1000.0) 8,738.5716 (>1000.0) 4.9661 (0.00) 4620 1
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We found that crabtree demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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