axiomkit
Personal, portable engineering toolkit (Python/R/Rust).
Install
pip install axiomkit
Stats
import polars as pl
from axiomkit.stats import (
TTestContrast,
calculate_anova_one_way,
calculate_anova_one_way_welch,
calculate_anova_two_way,
calculate_t_test_one_sample,
calculate_t_test_paired,
calculate_t_test_two_sample,
)
df_values = pl.DataFrame(
{
"FeatureId": ["f1", "f1", "f1", "f1", "f2", "f2", "f2", "f2"],
"Group": ["ctrl", "ctrl", "case", "case", "ctrl", "ctrl", "case", "case"],
"Value": [1.0, 2.0, 4.0, 5.0, 4.0, 4.0, 6.0, 8.0],
}
)
df_t = calculate_t_test_two_sample(
df_values,
col_feature="FeatureId",
contrasts=[TTestContrast(group_test="case", group_ref="ctrl")],
rule_p_adjust="bh",
)
df_one_sample = calculate_t_test_one_sample(
df_values.select("FeatureId", "Value"),
col_feature="FeatureId",
popmean=3.0,
)
df_paired = calculate_t_test_paired(
pl.DataFrame(
{
"FeatureId": ["f1", "f1", "f1", "f1"],
"PairId": ["p1", "p1", "p2", "p2"],
"Group": ["ctrl", "case", "ctrl", "case"],
"Value": [1.0, 2.0, 4.0, 6.0],
}
),
col_feature="FeatureId",
col_pair="PairId",
contrasts=TTestContrast(group_test="case", group_ref="ctrl"),
)
df_anova = calculate_anova_one_way(
df_values,
col_feature="FeatureId",
rule_p_adjust="bh",
)
df_anova_welch = calculate_anova_one_way_welch(
df_values,
col_feature="FeatureId",
rule_p_adjust="bh",
)
df_anova_two_way = calculate_anova_two_way(
pl.DataFrame(
{
"FeatureId": ["f1"] * 8,
"GroupA": ["A1", "A1", "A1", "A1", "A2", "A2", "A2", "A2"],
"GroupB": ["B1", "B1", "B2", "B2", "B1", "B1", "B2", "B2"],
"Value": [8.0, 10.0, 6.0, 8.0, 4.0, 5.0, 3.0, 6.0],
}
),
col_feature="FeatureId",
col_group_a="GroupA",
col_group_b="GroupB",
)
Development
pdm sync -G dev --no-self- GitHub Actions uses a CI-only manylinux image with preinstalled Rust to speed wheel builds; local development does not depend on Docker or GHCR.
- The Linux ARM64 wheel is built as a supplemental artifact on a native GitHub ARM runner; local development paths remain unchanged.
Docs
- Repository instructions: AGENTS.md
- Naming / product / architecture audit: docs/governance/20260408-naming-product-architecture-audit.md
- Python release checklist: RELEASE.md
- R package: r/README.md
- Rust workspace: crates/
1 maintainer
Release files for axiomkit 0.0.57
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| axiomkit-0.0.57.tar.gz | 146.2 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| axiomkit-0.0.57-cp310-abi3-manylinux_2_28_x86_64.whl | CPython 3.10 | abi3 | Linux glibc 2.28+ x86-64 | Details |
| axiomkit-0.0.57-cp310-abi3-manylinux_2_28_aarch64.whl | CPython 3.10 | abi3 | Linux glibc 2.28+ ARM64 | Details |
Total release size: 12.5 MB
Release files / axiomkit-0.0.57.tar.gz
| Download URL | axiomkit-0.0.57.tar.gz |
|---|---|
| Size | 146.2 kB |
| Tags | Source |
|
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| Size | 6.3 MB |
| Tags | CPython 3.10 Linux glibc 2.28+ x86-64 abi3 |
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| Download URL | axiomkit-0.0.57-cp310-abi3-manylinux_2_28_aarch64.whl |
|---|---|
| Size | 6.1 MB |
| Tags | CPython 3.10 Linux glibc 2.28+ ARM64 abi3 |
|
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Yes |
| Uploaded via |
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|
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