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EvalScope

ModelScope (Alibaba)
open source / Overall score: 2.5

One-stop evaluation framework from the ModelScope community that runs LLM, VLM, embedding and AIGC benchmarks and inference stress tests from a single CLI. It drives OpenCompass and VLMEvalKit as pluggable backends and adds the performance benchmarking side that plain accuracy harnesses leave out.

Distinct from the corpus's swift (ms-swift), the same community's training framework.

Openness

5 high confidence
5.0
license
Apache-2.0(OSI)
source
public(GitHub)
core features withheld
no

EvalScope carries the stock Apache-2.0 text, with no appended terms, under a ModelScope copyright. The README's optional `[service]` install extra is an ordinary dependency rather than a paid gate, and it names no pricing, enterprise edition or license key.

Adoption

2 high confidence
2.0

EvalScope's adoption is measured from its PyPI downloads in the trailing 30 days. Unlike opencompass and lmms-eval, pip install evalscope is the README's front-and-center install path, so PyPI is the closest usage signal for the package rather than a stand-in for a different one.

Capability

3 medium confidence
3.0

Broad model-type coverage and a performance-testing side the accuracy harnesses lack, but much of its benchmark depth is delegated — OpenCompass and VLMEvalKit run as its backends — and it carries no leaderboard or standardization role of its own, so it sits one below opencompass alongside bigcodebench.

  • https://raw.githubusercontent.com/modelscope/evalscope/main/README.md recorded 2026-10-07

    Key features: "Seamlessly integrates multiple evaluation backends including OpenCompass, VLMEvalKit, RAGEval", an "Agent Evaluation Mode" that drives benchmarks inside a multi-turn AgentLoop, and "Provides powerful model service stress testing tools", alongside built-in benchmarks across model types.

Verified 2026-09-24