Comparison
athina-evals vs context7
Verdict
Pick athina-evals when athina-evals is primarily Python; context7 is TypeScript; pick context7 when context7 is primarily TypeScript; athina-evals is Python.
Markdown twin · athina-evals alternatives · context7 alternatives
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Trust & integrity
| Signal | athina-evals | context7 |
|---|---|---|
| Maintenance | Dormant (399d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No MCP manifest As of 1d · mcp_manifest |
Tagline
- athina-evals
- Python SDK for running evaluations on LLM generated responses
- context7
- Up-to-date code documentation for LLMs and AI code editors
Stars
- athina-evals
- 301
- context7
- 59k
Forks
- athina-evals
- 22
- context7
- 2.8k
Open issues
- athina-evals
- 3
- context7
- 28
Language
- athina-evals
- Python
- context7
- TypeScript
Adopt for
- athina-evals
- -
- context7
- 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
- athina-evals
- -
- context7
- -
Runtime
- athina-evals
- -
- context7
- -
License
- athina-evals
- -
- context7
- MIT
Last pushed
- athina-evals
- Jun 6, 2025
- context7
- Jul 10, 2026
Categories
- athina-evals
- Developer Tools, Evaluation & Observability, LLM Frameworks
- context7
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- context7
- Very active (96%)
Days since push
- athina-evals
- 399d
- context7
- 0d
Open issues (now)
- athina-evals
- 3
- context7
- 28
Security scan
- athina-evals
- No lockfile
- context7
- No MCP manifest
Full report
- athina-evals
- Trust report
- context7
- Trust report
Choose athina-evals if…
- athina-evals is primarily Python; context7 is TypeScript.
- Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval.
- Also covers Evaluation & Observability.
When NOT to use athina-evals
- Last GitHub push was 400 days ago (dormant maintenance, Jun 6, 2025). Validate activity before betting a new project on athina-evals.
- 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.
Choose context7 if…
- context7 is primarily TypeScript; athina-evals is Python.
- Tags unique to context7: llm, 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 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更
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (athina-ai/athina-evals) · observed Jul 11, 2026
- GitHub forks (athina-ai/athina-evals) · observed Jul 11, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (upstash/context7) · observed Jul 11, 2026
- GitHub forks (upstash/context7) · observed Jul 11, 2026
- Last push (upstash/context7) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: athina-evals 301 · context7 59k (synced Jul 11, 2026).
Common questions
- What is the difference between athina-evals and context7?
- athina-evals: Python SDK for running evaluations on LLM generated responses. 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 athina-evals over context7?
- Choose athina-evals over context7 when athina-evals is primarily Python; context7 is TypeScript; Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval; Also covers Evaluation & Observability.
- When should I choose context7 over athina-evals?
- Choose context7 over athina-evals when context7 is primarily TypeScript; athina-evals is Python; Tags unique to context7: llm, 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 athina-evals?
- Last GitHub push was 400 days ago (dormant maintenance, Jun 6, 2025). Validate activity before betting a new project on athina-evals. 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更
- Is athina-evals or context7 more popular on GitHub?
- context7 has more GitHub stars (58,913 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and context7 open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or context7?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and context7 alternatives (athina-evals markdown twin, context7 markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, athina-evals or context7?
- athina-evals: 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 athina-evals and context7?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; context7 trust report.