--- title: "just-eval vs context7" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/re-align-just-eval-vs-upstash-context7" tools: ["re-align-just-eval", "upstash-context7"] --- # just-eval vs context7 *GraphCanon updated Jul 15, 2026* ## Verdict Pick just-eval when just-eval is primarily Python; context7 is TypeScript; pick context7 when context7 is primarily TypeScript; just-eval is Python. [just-eval](https://allenai.github.io/re-align/) reports 90 GitHub stars, 7 forks, and 2 open issues, last pushed Jan 29, 2024. [context7](https://context7.com) has 59k stars, 2.8k forks, and 28 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [just-eval's repository](https://github.com/Re-Align/just-eval) and [context7's repository](https://github.com/upstash/context7). | | [just-eval](/tools/re-align-just-eval.md) | [context7](/tools/upstash-context7.md) | | --- | --- | --- | | Tagline | A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs. | Up-to-date code documentation for LLMs and AI code editors | | Stars | 90 | 58,913 | | Forks | 7 | 2,762 | | Open issues | 2 | 28 | | Language | Python | TypeScript | | Adopt for | - | Context7 is a platform devoted to providing updated code documentation specifically tailored for LLMs (Large Language Models) and AI-based code editing tools. It uses TypeScript and operates under the MIT license. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, Evaluation & Observability, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [just-eval](/tools/re-align-just-eval.md) | [context7](/tools/upstash-context7.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 897d | 0d | | Open issues (now) | 2 | 28 | | Full report | [trust report](/tools/re-align-just-eval/trust.md) | [trust report](/tools/upstash-context7/trust.md) | ## Decision facts: context7 - **Adopt for:** Context7 is a platform devoted to providing updated code documentation specifically tailored for LLMs (Large Language Models) and AI-based code editing tools. It uses TypeScript and operates under the MIT license. ## Choose when ### Choose just-eval if… - just-eval is primarily Python; context7 is TypeScript. - Tags unique to just-eval: evaluation, gpt4, llm-eval, llm-evaluation. - Also covers Evaluation & Observability. ### Choose context7 if… - context7 is primarily TypeScript; just-eval is Python. - Tags unique to context7: mcp, mcp-server, vibe-coding. - When your project heavily relies on Large Language Models or AI-based code editors for enhancing development efficiency. ## When NOT to use just-eval - Last GitHub push was 897 days ago (dormant maintenance, Jan 29, 2024). Validate activity before betting a new project on just-eval. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use context7 - Avoid Context7 if your current project doesn't involve integration with Large Language Models or any AI-driven code editing utilities, as it will not offer significant advantages. - If your team strictly adheres to a development workflow that does not benefit from having real-time documentation tailored for LLMs and AI code editors, opting for more general developer tools may be ## Common questions ### What is the difference between just-eval and context7? just-eval: A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.. context7: Up-to-date code documentation for LLMs and AI code editors. See the comparison table for live GitHub stats and shared categories. ### When should I choose just-eval over context7? Choose just-eval over context7 when just-eval is primarily Python; context7 is TypeScript; Tags unique to just-eval: evaluation, gpt4, llm-eval, llm-evaluation; Also covers Evaluation & Observability. ### When should I choose context7 over just-eval? Choose context7 over just-eval when context7 is primarily TypeScript; just-eval is Python; Tags unique to context7: mcp, mcp-server, vibe-coding; When your project heavily relies on Large Language Models or AI-based code editors for enhancing development efficiency. ### When should I avoid just-eval? Last GitHub push was 897 days ago (dormant maintenance, Jan 29, 2024). Validate activity before betting a new project on just-eval. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid context7? Avoid Context7 if your current project doesn't involve integration with Large Language Models or any AI-driven code editing utilities, as it will not offer significant advantages. If your team strictly adheres to a development workflow that does not benefit from having real-time documentation tailored for LLMs and AI code editors, opting for more general developer tools may be ### Is just-eval or context7 more popular on GitHub? context7 has more GitHub stars (58,913 vs 90). Stars measure visibility, not whether either tool fits your constraints. ### Are just-eval and context7 open source? Yes - both are open-source projects on GitHub (just-eval: MIT, context7: MIT). ### Where can I find alternatives to just-eval or context7? GraphCanon lists graph-backed alternatives at [just-eval alternatives](/tools/re-align-just-eval/alternatives) and [context7 alternatives](/tools/upstash-context7/alternatives) ([just-eval markdown twin](/tools/re-align-just-eval/alternatives.md), [context7 markdown twin](/tools/upstash-context7/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/re-align-just-eval-vs-upstash-context7.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, just-eval or context7? just-eval: Dormant. context7: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for just-eval and context7? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [just-eval trust report](/tools/re-align-just-eval/trust); [context7 trust report](/tools/upstash-context7/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=re-align-just-eval`](/api/graphcanon/graph?tool=re-align-just-eval) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_