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modelscope/evalscope

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

Python ◇ evaluation Apache-2.0
★3.6KSTARS
⑂538FORKS
!16ISSUES
🏆#3,313GLOBAL RANK
🔥10DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

evalscope is evalscope is an open-source project written in Python: A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), modelscope/evalscope has accumulated 3,597 GitHub stars and 538 forks. It is written in Python, licensed under Apache-2.0, and ranks #3,313 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
Repository modelscope/evalscope ↗
Primary Category evaluation
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 3.6K stars · ⑂ 538 forks · #3,313 globally
Maintenance ● Active (Last commit: Oct 27, 2026) · 16 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: 97/100 · Grade A+
✅
Is evalscope actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, evalscope is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (4 days ago). Supported by 3,597 stars and 538 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 27, 2026
4 days since last push
Issue Backlog
16 Open Issues
Healthy Issue Cadence
Community Backing
538 Forks
3.6K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for modelscope/evalscope
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Momentum

+90

STARS · LAST 30 DAYS

3

PER DAY

#488

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+32+90+270
Per day533
Forks gained+8+11+27

evalscope gained 90 stars in the last 30 days, about 3 a day, and now has 3.6K. It is about 3 years old and has averaged roughly 1.2K stars a year. It ranks #488 among Python repositories and #3,313 across all languages on GitHubRepo.

Trending Record

evalscope has maintained a continuous presence across global trending indexes, peaking at #1721. Below is the 30-day activity profile:

💡 Overview

evalscope is an open-source project written in Python: A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

Engineered for speed, consistency, and developer ease, it solves common hurdles in evaluation, llm, performance. 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 evalscope

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

evalscope 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with evalscope.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for evalscope.

3

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

4

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

👍 Strengths

Active community backing with 3,565 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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

modelscope/evalscope is currently ranked #3,313 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,308 truera/trulens Python ★ 3.6K Compare ↗
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#3,313 modelscope/evalscope This Project Python ★ 3.6K
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Frequently Asked Questions

What does evalscope do? +

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

Is evalscope actively maintained in 2026? +

Yes, evalscope is actively maintained. The latest code push was recorded on Oct 27, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 3,597 stars and 16 open issues.

What language is evalscope written in? +

The primary language is Python. Topics include: evaluation, llm, performance, rag, vlm.

How many stars does evalscope have? +

evalscope has 3,597 stars and 538 forks on GitHub.

How does evalscope rank among GitHub repositories? +

With 3,597 stars, modelscope/evalscope is ranked #3,313 globally across all repositories tracked on GitHubRepo and #488 among Python projects.

What license is evalscope distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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