Alternatives hub · graph-backed
code-eval alternatives
In short
Top alternatives to code-eval are athina-evals and auto-evaluator, ranked by typed graph edges - evaluation-observability.
Not a popularity vote. Each alternative is a typed graph neighbor of code-eval in Evaluation & Observability - ranked by edge type and constraint overlap, with live GitHub stats shown for context.
code-eval trust report - maintenance, provenance, and scan signals for code-eval.
GraphCanon updated Oct 6, 2026 · GitHub pushed Sep 12, 2023
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code-eval alternatives (markdown)
Comparison table
Top graph-backed alternatives with live GitHub stars. Use the compare link for a full head-to-head.
| Alternative | Stars | Language | Relation | Why | Compare |
|---|---|---|---|---|---|
| athina-evals | 301 | Python | same category | Python SDK for evaluating LLM generated responses | Compare |
| auto-evaluator | 1.1k | Python | same category | A lightweight evaluation tool for question-answering using Langchain | Compare |
| autoarena | 108 | TypeScript | same category | Automated evaluation of LLMs and RAG systems | Compare |
| Awesome-Code-LLM | 1.3k | - | same category | 👨💻 An awesome and curated list of best code-LLM for research | Compare |
| awesome-evals | 901 | - | same category | A curated library of resources for building and evaluating AI agents | Compare |
| bigcode-evaluation-harness | 1.1k | Python | same category | A framework for evaluating autoregressive code generation language models | Compare |
| cceval | 184 | Python | same category | CrossCodeEval Benchmark for Cross-File Code Completion | Compare |
| CommonGen-Eval | 95 | Python | same category | Evaluating LLMs with CommonGen-Lite | Compare |
Python SDK for evaluating LLM generated responses
A lightweight evaluation tool for question-answering using Langchain
Automated evaluation of LLMs and RAG systems
👨💻 An awesome and curated list of best code-LLM for research.
A curated library of resources for building and evaluating AI agents
A framework for evaluating autoregressive code generation language models.
CrossCodeEval Benchmark for Cross-File Code Completion
Evaluating LLMs with CommonGen-Lite
LLM Evaluation Framework.
A Comprehensive Benchmark for Software Development
Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI
Rigorous evaluation of LLM-synthesized code
Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.
Multilingual benchmark for evaluating LLMs in full-stack coding
Production-grade AI evaluation, prompt management & observability SDK
Holistic, reproducible and transparent evaluation of foundation models
Source Evaluation scripts for Humanity's Last Code Exam
Evaluating Large Language Models Trained on Code
Adversarial Testing Engine and SDK for AI Agents
Quantitative evaluation for instruction-tuned language models
A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
Provides a platform for evaluating and benchmarking LLM models using various evaluators
Supports learning to verify language-to-code generation with execution
All-in-one toolkit for evaluating LLMs across multiple backends
When NOT to use code-eval
Constraint-first guidance from category fit and live maintenance signals - not marketing copy.
- If the tool's results do not correlate well with the official published benchmarks due to unknown prompt differences
- For real-time or dynamic evaluations as this repo offers pre-computed static results only
Related alternatives hubs
High-intent OSS-vs-OSS alternatives pages elsewhere in the graph (including vector-DB picks for Pinecone-style queries).
Head-to-head comparisons
Common questions
- What are the best alternatives to code-eval?
- Graph-backed alternatives to code-eval (432 GitHub stars) include athina-evals (301 stars, same category); auto-evaluator (1.1k stars, same category); autoarena (108 stars, same category); Awesome-Code-LLM (1.3k stars, same category); awesome-evals (901 stars, same category). GraphCanon ranks them by typed relationship edges and constraint overlap, not marketing votes or raw star sort.
- How does GraphCanon rank code-eval alternatives?
- Direct alternative and successor edges from the knowledge graph come first, ordered by edge type and shared constraint facets (persona, runtime, hosting). Category neighbours fill the list only after curated edges. Stars are shown for context, not as the primary sort.
- When should I avoid code-eval?
- If the tool's results do not correlate well with the official published benchmarks due to unknown prompt differences For real-time or dynamic evaluations as this repo offers pre-computed static results only
- Is code-eval open source?
- Yes. code-eval is an open-source project on GitHub under the MIT license, with 432 stars.
- What is code-eval used for?
- A Python-based repository to evaluate the performance of large language models using the human-eval benchmark. It assesses different models and presents results based on their pass rates at various points, offering insights into model reliability in generating code solutions.
- What category is code-eval in?
- code-eval is categorized under Evaluation & Observability in the GraphCanon knowledge graph.
- How do code-eval alternatives compare head-to-head?
- Each alternative has a neutral compare page against code-eval, for example athina-evals vs code-eval, auto-evaluator vs code-eval, autoarena vs code-eval. Stats come from live GitHub metadata.
- Is there a machine-readable alternatives list?
- Yes. The markdown twin at code-eval alternatives lists direct alternatives and same-category tools with internal links to each tool markdown page.
- Where are other high-intent alternatives hubs?
- Related P0 OSS-vs-OSS hubs: LangChain alternatives, LlamaIndex alternatives, Qdrant alternatives, FinRobot alternatives, free-llm-api-resources alternatives, caveman alternatives, rtk alternatives, unsloth alternatives, ollama alternatives. Vector-database intent (including Pinecone-style queries) is covered at Qdrant alternatives.
- Where can I see maintenance and security signals for code-eval?
- GraphCanon publishes a sourced trust report for code-eval at code-eval trust report - maintenance posture, fork provenance, and dependency/MCP scan status with methodology tags. Not a safety grade.