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Alternatives hub · graph-backed

just-eval alternatives

In short

Top alternatives to just-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 just-eval in Evaluation & Observability - ranked by edge type and constraint overlap, with live GitHub stats shown for context.

just-eval trust report - maintenance, provenance, and scan signals for just-eval.

GraphCanon updated Sep 20, 2026 · GitHub pushed Jan 29, 2024

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just-eval alternatives (markdown)

Comparison table

Top graph-backed alternatives with live GitHub stars. Use the compare link for a full head-to-head.

AlternativeStarsLanguageRelationWhyCompare
athina-evals301Pythonsame categoryPython SDK for evaluating LLM generated responsesCompare
auto-evaluator1.1kPythonsame categoryA lightweight evaluation tool for question-answering using LangchainCompare
autoarena108TypeScriptsame categoryAutomated evaluation of LLMs and RAG systemsCompare
awesome-evals901-same categoryA curated library of resources for building and evaluating AI agentsCompare
council-of-high-intelligence4.3kShellsame categoryAI personas deliberate decisions across LLM providersCompare
deepeval18kPythonsame categoryLLM Evaluation FrameworkCompare
eval-view134Pythonsame categoryRegression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CICompare
future-agi2.0kPythonsame categoryOpen-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applicationsCompare
Constraints24 of 24 match
athina-evals logo
athina-evalsrelated

Python SDK for evaluating LLM generated responses

Pythonevaluation-observability
301
stars
auto-evaluator logo
auto-evaluatorrelated

A lightweight evaluation tool for question-answering using Langchain

Pythonevaluation-observability
1.1k
stars
autoarena logo
autoarenarelated

Automated evaluation of LLMs and RAG systems

Self-hostTypeScriptevaluation-observability
108
stars
awesome-evals logo
awesome-evalsrelated

A curated library of resources for building and evaluating AI agents

evaluation-observability
901
stars
council-of-high-intelligence logo
council-of-high-intelligencerelated

AI personas deliberate decisions across LLM providers

Shellevaluation-observability
4.3k
stars
deepeval logo
deepevalrelated

LLM Evaluation Framework.

Pythonevaluation-observability
18k
stars
eval-view logo
eval-viewrelated

Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI

Pythonevaluation-observability
134
stars
future-agi logo
future-agirelated

Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications

FreemiumPythonevaluation-observability
2.0k
stars
futureagi-sdk logo
futureagi-sdkrelated

Production-grade AI evaluation, prompt management & observability SDK

FreemiumPythonevaluation-observability
51
stars
hallucination-index logo
hallucination-indexrelated

Initiative to evaluate and rank popular LLMs based on hallucination propensity

evaluation-observability
115
stars
HLCE logo
HLCErelated

Source Evaluation scripts for Humanity's Last Code Exam

Pythonevaluation-observability
96
stars
instruct-eval logo
instruct-evalrelated

Quantitative evaluation for instruction-tuned language models

Pythonevaluation-observability
553
stars
langevals logo
langevalsrelated

Provides a platform for evaluating and benchmarking LLM models using various evaluators

evaluation-observability
72
stars
last_layer logo
last_layerrelated

Ultra-fast low latency LLM prompt injection jailbreak detection

Pythonevaluation-observability
133
stars
llm-course logo
llm-courserelated

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

evaluation-observability
83k
stars
llm-leaderboard logo
llm-leaderboardrelated

Comprehensive LLM benchmark scores and provider prices

JavaScriptevaluation-observability
356
stars
lm-evaluation-harness logo
lm-evaluation-harnessrelated

A framework for few-shot evaluation of language models.

Pythonevaluation-observability
14k
stars
lmms-eval logo
lmms-evalrelated

One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks

Pythonevaluation-observability
4.4k
stars
olmo-eval logo
olmo-evalrelated

Olmo Evaluation Framework for LLM Tasks

Pythonevaluation-observability
69
stars
Open-LLM-Leaderboard logo
Open-LLM-Leaderboardrelated

Tracks LLM performance on open-style questions

Pythonevaluation-observability
53
stars
oumi logo
oumirelated

Easily fine-tune, evaluate and deploy open source LLMs/VLMs

Pythonevaluation-observability
9.4k
stars
PHUDGE logo
PHUDGErelated

Evaluation toolkit for LLM responses with scalable grading and hallucination detection.

FreemiumJupyter Notebookevaluation-observability
53
stars
promptfoo logo
promptfoorelated

Test prompts, agents, and RAGs. Compare performance of various LLMs.

TypeScriptevaluation-observability
25k
stars
PurpleLlama logo
PurpleLlamarelated

Set of tools to assess and improve LLM security

Pythonevaluation-observability
4.4k
stars

When NOT to use just-eval

Constraint-first guidance from category fit and live maintenance signals - not marketing copy.

  • Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration.
  • Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments.

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 just-eval?
Graph-backed alternatives to just-eval (90 GitHub stars) include athina-evals (301 stars, same category); auto-evaluator (1.1k stars, same category); autoarena (108 stars, same category); awesome-evals (901 stars, same category); council-of-high-intelligence (4.3k stars, same category). GraphCanon ranks them by typed relationship edges and constraint overlap, not marketing votes or raw star sort.
How does GraphCanon rank just-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 just-eval?
Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration. Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments.
Is just-eval open source?
Yes. just-eval is an open-source project on GitHub under the MIT license, with 90 stars.
What is just-eval used for?
just-eval is an evaluation toolkit based on GPT technology designed to assess language models across multiple dimensions in an understandable way.
What category is just-eval in?
just-eval is categorized under Evaluation & Observability in the GraphCanon knowledge graph.
How do just-eval alternatives compare head-to-head?
Each alternative has a neutral compare page against just-eval, for example athina-evals vs just-eval, auto-evaluator vs just-eval, autoarena vs just-eval. Stats come from live GitHub metadata.
Is there a machine-readable alternatives list?
Yes. The markdown twin at just-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 just-eval?
GraphCanon publishes a sourced trust report for just-eval at just-eval trust report - maintenance posture, fork provenance, and dependency/MCP scan status with methodology tags. Not a safety grade.

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