--- title: "agno vs NotFair" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-nowork-studio-notfair" tools: ["agno-agi-agno", "nowork-studio-notfair"] --- # agno vs NotFair *GraphCanon updated Jul 11, 2026* ## Verdict Pick agno when agno is primarily Python; NotFair is TypeScript; pick NotFair when notFair is primarily TypeScript; agno is Python. [agno](https://docs.agno.com) reports 41k GitHub stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 2026. [NotFair](https://notfair.co/) has 3.1k stars, 377 forks, and 5 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [NotFair's repository](https://github.com/nowork-studio/NotFair). | | [agno](/tools/agno-agi-agno.md) | [NotFair](/tools/nowork-studio-notfair.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | Open-source Claude Code skills for SEO, GEO, Google Ads, Meta Ads | | Stars | 41,090 | 3,107 | | Forks | 5,627 | 377 | | Open issues | 1,009 | 5 | | Language | Python | TypeScript | | Adopt for | Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [NotFair](/tools/nowork-studio-notfair.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 1.0k | 5 | | Security scan | No lockfile | 7 low (7 low) | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/nowork-studio-notfair/trust.md) | ## Decision facts: agno - **Adopt for:** Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ## Choose when ### Choose agno if… - agno is primarily Python; NotFair is TypeScript. - License: agno is Apache-2.0, NotFair is MIT. - Tags unique to agno: agents, ai-agents, developer-tools, python. - Also covers AI Agents. - Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### Choose NotFair if… - NotFair is primarily TypeScript; agno is Python. - License: NotFair is MIT, agno is Apache-2.0. - Tags unique to NotFair: claude-code-plugin, claude-skills, geo, googleads. ## When NOT to use agno - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use NotFair - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between agno and NotFair? agno: Build, run, and manage your own agent platform.. NotFair: Open-source Claude Code skills for SEO, GEO, Google Ads, Meta Ads. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over NotFair? Choose agno over NotFair when agno is primarily Python; NotFair is TypeScript; License: agno is Apache-2.0, NotFair is MIT; Tags unique to agno: agents, ai-agents, developer-tools, python; Also covers AI Agents; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### When should I choose NotFair over agno? Choose NotFair over agno when NotFair is primarily TypeScript; agno is Python; License: NotFair is MIT, agno is Apache-2.0; Tags unique to NotFair: claude-code-plugin, claude-skills, geo, googleads. ### When should I avoid agno? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid NotFair? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is agno or NotFair more popular on GitHub? agno has more GitHub stars (41,090 vs 3,107). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and NotFair open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, NotFair: MIT). ### Where can I find alternatives to agno or NotFair? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [NotFair alternatives](/tools/nowork-studio-notfair/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [NotFair markdown twin](/tools/nowork-studio-notfair/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/agno-agi-agno-vs-nowork-studio-notfair.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or NotFair? agno: Very active. NotFair: 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 agno and NotFair? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [NotFair trust report](/tools/nowork-studio-notfair/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agno-agi-agno`](/api/graphcanon/graph?tool=agno-agi-agno) - 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/_