What does poniard do?

Quickly comparing and evaluating multiple scikit-learn models without repetitive boilerplate code. It is catalogued under Data science & ML workbench on PulseGate.

Who should use poniard?

poniard is an open-source project built for machine learning practitioners.

Yes — poniard is open source under the MIT license and free to use.

What platforms does poniard run on?

poniard runs on the command line.

Is poniard still maintained?

The GitHub repository shows 102 commits in the last 90 days.

What projects are similar to poniard?

Similar projects tracked by PulseGate include corvus-ai, MFGLib documentation, and probe-research.

Who develops poniard?

poniard is developed by rxavier.

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poniard

Name: poniard
Author: rxavier

PyPIInfrastructure

Poniard is a Python library that simplifies the process of comparing multiple scikit-learn models. It streamlines common machine learning experimentation tasks such as training, evaluation, and comparison, reducing boilerplate code for data scientists and ML engineers. The project is MIT licensed.

Open SourceMITCLI

Visit PyPI

143stars

9forks

3features

2022since

Overview

3 features

In the Data science & ML workbench space, poniard takes a focused approach. Quickly comparing and evaluating multiple scikit-learn models without repetitive boilerplate code. poniard is an open-source project aimed at machine learning practitioners. poniard is open source under the MIT license. poniard is available on the command line.

It is developed by rxavier, and it first shipped in 2022. Development happens publicly on GitHub with 143 stars and 102 commits in the last 90 days. Among its 3 catalogued features are model comparison, scikit-learn integration, and evaluation tools.

Summary written by a language model from the project’s public pages.

Model comparison
Scikit-learn integration
Evaluation tools

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 143Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed3 Aug · 05:06 UTC
poniard verified against its public source
Source: PulseGate · Open

Frequently asked questions about poniard

What does poniard do?: Quickly comparing and evaluating multiple scikit-learn models without repetitive boilerplate code. It is catalogued under Data science & ML workbench on PulseGate.
Who should use poniard?: poniard is an open-source project built for machine learning practitioners.
Is poniard free?: Yes — poniard is open source under the MIT license and free to use.
What platforms does poniard run on?: poniard runs on the command line.
Is poniard still maintained?: The GitHub repository shows 102 commits in the last 90 days.
What projects are similar to poniard?: Similar projects tracked by PulseGate include corvus-ai, MFGLib documentation, and probe-research.corvus-ai MFGLib documentation probe-research
Who develops poniard?: poniard is developed by rxavier.
How long has poniard been around?: poniard first shipped in 2022.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 143
License: MIT
Built for: machine learning practitioners
Model: Open source
Solves: Quickly comparing and evaluating multiple scikit-learn models without repetitive boilerplate code.

Registered as

GitHub: rxavier/poniard
PyPI: poniard

Developer

rxavier

Solo developer

GitHub

Open source

View on GitHub

Stars: 143
Forks: 9
Open issues: 1
Last commit: 3 Aug 2026
Commits 90d: 102
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: 0.5.0 · 22 Dec 2022

Live coverage

Identity confidence: Low · 64
Indexed: 3 Aug 2026
Lifecycle: Alive
Last seen: 3 Aug 2026

Identity audit (13)

Slug: poniard-pypi-org
Lifecycle state recorded: 3 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 3 Aug 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 3 Aug 2026
Canonical URL: https://pypi.org/project/poniard

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