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probabl-ai/skore

Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.

Python ◇ data-analysis MIT
★673STARS
⑂141FORKS
!155ISSUES
🏆#9,038GLOBAL RANK
🔥16DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

skore is skore is an open-source project written in Python: Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), probabl-ai/skore has accumulated 673 GitHub stars and 141 forks. It is written in Python, licensed under MIT, and ranks #9,038 globally. It is actively maintained with the latest commit recorded on Oct 13, 2026.”
Repository probabl-ai/skore ↗
Primary Category data analysis
Language & Stack Python
Software License MIT
Community Traction ★ 673 stars · ⑂ 141 forks · #9,038 globally
Maintenance ● Active (Last commit: Oct 13, 2026) · 155 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is skore actively maintained in 2026?
Verdict: Actively Maintained

Yes, skore is actively maintained. Continuous telemetry recorded the last code commit on Oct 13, 2026 (16 days ago). Supported by 673 stars and 141 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (16 days ago) and healthy issue cadence.

Commit Recency
Oct 13, 2026
16 days since last push
Issue Backlog
155 Open Issues
Healthy Issue Cadence
Community Backing
141 Forks
673 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for probabl-ai/skore
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Momentum

+17

STARS · LAST 30 DAYS

1

PER DAY

#1,239

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+17+90
Per day111
Forks gained+0+3+10

skore gained 17 stars in the last 30 days, about 1 a day, and now has 673. It is about 2 years old and has averaged roughly 337 stars a year. It ranks #1,239 among Python repositories and #9,038 across all languages on GitHubRepo.

Trending Record

skore has maintained a continuous presence across global trending indexes, peaking at #7681. Below is the 30-day activity profile:

💡 Overview

skore is an open-source project written in Python: Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.

Engineered for speed, consistency, and developer ease, it solves common hurdles in data-analysis, data-science, data-visualization. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install skore

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

skore coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed skore into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install skore using your package manager: `pip install skore`

2

Initialize your project workspace or configuration file for skore.

3

Import skore into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `skore --help` to verify successful setup.

👍 Strengths

Active community backing with 673 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

probabl-ai/skore is currently ranked #9,038 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,030 mautrix/signal Go ★ 674 Compare ↗
#9,030 ViaVersion/ViaFabricPlus Java ★ 674 Compare ↗
#9,030 ruddarr/app Swift ★ 674 Compare ↗
#9,030 freefrank/LostOdysseyRecomp C++ ★ 674 Compare ↗
#9,030 devagrawal09/jev-review TypeScript ★ 674 Compare ↗
#9,038 probabl-ai/skore This Project Python ★ 673
#9,038 StackExchange/Stacks TypeScript ★ 673 Compare ↗
#9,038 ch4mpy/spring-addons Java ★ 673 Compare ↗
#9,038 hggq/paozhu C++ ★ 673 Compare ↗
#9,038 jdx/pitchfork Rust ★ 673 Compare ↗
#9,038 microsoft/microsoft-ui-reactor C# ★ 673 Compare ↗
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Frequently Asked Questions

What does skore do? +

Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.

Is skore actively maintained in 2026? +

Yes, skore is actively maintained. The latest code push was recorded on Oct 13, 2026 (16 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 673 stars and 155 open issues.

What language is skore written in? +

The primary language is Python. Topics include: data-analysis, data-science, data-visualization, machine-learning, python.

How many stars does skore have? +

skore has 673 stars and 141 forks on GitHub.

How does skore rank among GitHub repositories? +

With 673 stars, probabl-ai/skore is ranked #9,038 globally across all repositories tracked on GitHubRepo and #1,239 among Python projects.

What license is skore distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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