Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

bencheval

Benchmark evaluation for tabular machine learning: turns a table of per-task results into a leaderboard with Elo, win-rates, average ranks, improvability, and bootstrap confidence intervals. It is the leaderboard engine behind TabArena and is developed in the TabArena repository, but it does not depend on the tabarena package, so any benchmark that produces (method, task, metric_error) rows can use it.

Experimental. The API is still moving. Pin the version you evaluate with; every tabarena release pins the matching bencheval release.

Install

pip install --pre bencheval          # metrics + leaderboards
pip install --pre "bencheval[plot]"  # + matplotlib / seaborn / plotly for the plotting mixin

Releases on PyPI are pre-releases for now, so --pre (or uv pip install --prerelease=allow) is needed. The git checkout is the recommended install for development; see the TabArena README.

Usage

import pandas as pd
from bencheval.evaluator import BenchmarkEvaluator

# One row per (method, task[, seed]); lower `metric_error` is better.
data = pd.DataFrame(
    {
        "method": ["A", "B", "A", "B"],
        "task": ["t1", "t1", "t2", "t2"],
        "seed": [0, 0, 0, 0],
        "metric_error": [0.10, 0.12, 0.30, 0.25],
        "time_train_s": [1.0, 2.0, 1.5, 2.5],
        "time_infer_s": [0.1, 0.2, 0.1, 0.2],
    }
)

evaluator = BenchmarkEvaluator(seed_column="seed")
leaderboard = evaluator.leaderboard(data, include_error=True)
print(leaderboard)

examples/plots/run_generate_custom_leaderboard.py in the TabArena repository shows custom leaderboard metrics, Elo calibration against a reference method, and seed averaging.

License

Apache-2.0. See the LICENSE file shipped with the distribution.

Metadata

Release files for bencheval 0.1.1.dev20261008153334

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for bencheval 0.1.1.dev20261008153334
File Size Uploaded
bencheval-0.1.1.dev20261008153334.tar.gz 55.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for bencheval 0.1.1.dev20261008153334
File Interpreter ABI Platform
bencheval-0.1.1.dev20261008153334-py3-none-any.whl Python 3 none any Details

Total release size: 113.5 kB

Release files / bencheval-0.1.1.dev20261008153334.tar.gz

Download URL bencheval-0.1.1.dev20261008153334.tar.gz
Size 55.5 kB
Tags Source
SHA-256 checksum
How to use checksums
81cd48c5b4cb154c838e404e31f624f04e8e0f710c1f004070100514d354cdf3
BLAKE2b-256 checksum
How to use checksums
62532e561922d9958bc3f701f3990cedea056c38439519b115c0e66763bff94b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.23 {"installer":{"name":"uv","version":"0.12.23","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / bencheval-0.1.1.dev20261008153334-py3-none-any.whl

Download URL bencheval-0.1.1.dev20261008153334-py3-none-any.whl
Size 57.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
cced8bff431eecd529ac5f57dc324dc86d2d61b65ae767fd0b0c994b29f58bd0
BLAKE2b-256 checksum
How to use checksums
96da5ea706ebec5258d927bb4c42ebe54d573da6495675c77af4723e2ddd8d46
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.23 {"installer":{"name":"uv","version":"0.12.23","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release history Release notifications | RSS feed

This release

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page